Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Industry: Entertainment Providers
Company Size: 10,001+ employees

Netflix

Savvy Admin PROD

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms. You will support a highly talented team in developing cutting‑edge algorithms and systems, and collaborate closely with cross‑functional partners to enhance localization experiences for Netflix members around the world.

**Responsibilities**

- Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve Netflix’s ambitious localization goals.

- Mentor, support, and inspire a team of Research Scientists and Machine Learning Engineers, amplifying their impact and fostering their career growth.

- Partner with technical leads on defining area strategy, planning and executing projects, and developing talent.

- Set and operationalize a high bar for both execution speed and quality, while nurturing a culture of exceptional technical excellence.

- Bring cutting-edge technical expertise and build deep domain knowledge to uncover new opportunities and make strategic bets.

- Build strong relationships with cross-functional, cross-domain partners to shape long-term collaborations and shared visions.

- Act as a functional leader and domain expert, representing the team’s work and strengthening the team’s internal and external brand.

- Contribute to the growth and upskilling of the broader Machine Learning community at Netflix.

**About You**

- Proven track record of successfully leading highly technical ML research and engineering teams in multimodal LLMs, speech recognition and understanding, and generative speech.

- Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying current with the latest technical developments; have led teams to launch and continuously improve production ML services.

- Passionate about leading teams through ambiguous and complex technical and business challenges; focused on bringing clarity, structure, and effective execution.

- Strong track record in mentoring and developing talent, with proven success recruiting researchers and engineers at multiple levels.

- Master’s or PhD in Machine Learning, Computer Science, or a closely related field.

- 6+ years of hands-on ML experience (or 4+ years with a relevant PhD).

- 2+ years of experience leading ML teams.

- Exceptional verbal and written communication skills.

- Deeply committed to delivering end-to-end business impact.

- Netflix culture resonates with you.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $523,000.00 - $920,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Machine Learning Manager - Localization Algorithms

Netflix Animation Studios is on a mission to entertain the world with bold, immersive animated films that are timeless and impactful. We are paving the way for the future of animation by building a community of amazing artists and talent across three vibrant locations globally. Come join us!

Netflix Animation Studios is committed to creating content that makes a lasting impression on audiences and expands expectations of what is possible in storytelling. We are paving the way for the bold future of animation by building a community of amazing artists and talent. As a part of Netflix, NAS values integrity, excellence, respect, inclusion, and collaboration. This is the new wave of animation — and you can help shape it!

**Interested?**

Do you want to join the Netflix Animation Studios team, but don’t see a current role posted within the Post + Editorial Department that you’d like to apply for? Typical roles within the Department can include, but aren’t limited to: 2nd Assistant Editor, 1st Assistant Editor, Associate Editor, Music Editor, Editor, Lead Editor, Post Production Supervisor.

Submit your information and/or portfolio/reel to our database so we can consider you for roles in the future. If there’s a match to an upcoming role, a member of our Talent Team will be in touch with you!

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Expression of Interest - Feature Animation, Post & Editorial

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are seeking a Senior Game Engineer who is passionate about the next frontier of interactive storytelling and player agency. In this role, you won’t just be building models; you’ll be building experiences. You will leverage Generative AI to break traditional scripted boundaries, creating dynamic gameplay systems that respond to players in ways previously thought impossible.

**Key Responsibilities**

- Design-Led Engineering: Work elbow-to-elbow with Game Designers to prototype and ship AI-augmented gameplay.

- Player-Centric AI: Implement GenAI features that directly enhance the player experience, ensuring that AI-generated content feels intentional, high-quality, and most importantly, fun.

- Core Systems Integration: Architect how GenAI hooks into core game systems (AI behavior trees, narrative engines, and world-building tools) to ensure seamless, low-latency performance.

- Guardrails & UX: Develop the "logic layer" that sits between raw AI outputs and the player, ensuring content remains on-theme, safe, and balanced within the game's mechanics.

- Rapid Gameplay Iteration: Use GenAI to accelerate the "find the fun" phase of development, building internal tools that allow for faster level blocking, asset variation, and playtesting loops.

- Technical Troubleshooting: Debug complex interactions where AI systems meet deterministic game logic, maintaining the stability of the live game environment.

**Qualifications**

- Gameplay Engineering Core: 5+ years of professional experience in game development. You have a deep understanding of game architecture, player controllers, and real-time systems.

- Applied GenAI Skills: Proven experience using LLMs or Diffusion models to solve specific product problems. You know how to prompt, fine-tune, and chain models to get predictable results in an unpredictable game world.

- Systems Thinker: You understand how a change in an AI's "personality" or "generation parameters" affects game balance and the overall player journey.

- Technical Proficiency: Expert-level C++ or C# (Unity/Unreal) and a grasp of Python for tooling and data pipelines.

- Passion for Innovation: You are excited by "impossible" design challenges and believe GenAI is the key to unlocking new genres of play.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $280,000.00 - $400,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Senior Game Engineer, GenAI - Games

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are looking for software engineers and distributed systems engineers to work on many of our core backend systems that directly impact our API platform, messaging, personalization, sign-up, partnership, payments, and billing systems.

As an engineer in this function, you are passionate about solving challenging problems with direct business impact across a wide variety of complex distributed systems. You will be expected to work cross-functionally and drive large projects throughout their lifecycle from identifying the problem to launching in production.

Does this sound like something you’d like to do? Awesome, let’s talk specifics.

**What We Need From You**

- 6-8+ years of professional experience designing, building, and shipping software.

- You are skilled in object-oriented programming and write excellent code.

- You own what you build, beyond just your code. You have a passion for quality.

- You are proficient in systems design. You can craft systems and solutions to realize a range of product and engineering goals.

- You have experience working with large-scale, low-latency distributed systems.

- You love driving real business impact by applying your software engineering, analytical, and collaborative skills across engineering, product, design, ML/data science, and consumer insights.

- You can work through ambiguity, multi-task effectively, and are highly motivated to lead cross-functional projects and deliver high-quality solutions.

- You strive to improve yourself and help your colleagues grow. Your co-workers think of you as someone who is kind and does excellent work.

- You communicate effectively in both written and verbal form. You are a great listener and give all voices an opportunity to express themselves.

- You are self-driven and impact-oriented. You are proactive and can move fast or pivot to meet the changing needs of the product.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Software Engineer 5 - Member, Commerce & Games Engineering

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are big believers in the power of the consumer voice when it comes to movies. The Film Consumer Insights team strives to bring that voice to as many business decisions as possible, especially when it comes to creating movies that the world will love. This requires an unparalleled level of insight to understand what motivates “must-watch” entertainment moments, member love, and a desire to join Netflix among non-members.

We are looking for a Senior Researcher to represent consumers – the role is responsible for owning genre and title-focused research for our original film slate. Title-focused work could include development studies to understand how to adapt IP most effectively or bring a script to life, audience screenings to help optimize the film during production, and marketing studies to understand which of the film’s assets are most marketable. This is a high-impact role that will collaborate with other Consumer Insights researchers, interface with high-level executives within Netflix, and own relationships with external creators.

A deep understanding of film, gained from working at a studio or on the research agency side, is likely to be critical for success. If you don’t have that but still think you could be successful in this job, let us know why.

**In This Role, You Will**

- Own the relationship with key Content executives and creators and establish a trusted, consultative partnership

- Design and execute research programs that directly influence creative decisions, optimization, and go-to-market strategy

- Identify and prioritize the highest-impact title research opportunities, especially in early development and screening phases

- Translate consumer insight into clear, actionable guidance that shapes both creative choices and commercial outcomes

- Partner with other Consumer Insights researchers and cross-functional teams such as Series, Data Science, Marketing, and Product to maximize the impact and influence of your work

**About You**

- At least 7+ years of hands-on research experience at a studio or market research agency

- Experience in designing, planning, and executing research projects, including research screenings, positioning/branding studies, materials testing and/or tracking, owning projects end-to-end

- Deep fluency in both qualitative and quantitative research methods, with the ability to manage both

- A phenomenal communicator, written and verbal, with compelling storytelling capabilities, connecting the dots and surfacing learnings from past research to apply today, making an audience think/feel things they wouldn’t have otherwise

- An excellent collaborator; you build strong partnerships within your team and with stakeholders

- Experience socializing research findings across different departments, from content/creative to marketing/communications, pivoting to different needs seamlessly

- Comfortable working within a self-directed culture and navigating ambiguity

- Experience with research in markets outside the US is preferred

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $370,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Senior Researcher - Consumer Insights, Film

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**The Team**

The Enterprise Governance & Assurance team (EGA) is responsible for enabling Netflix to operate securely while meeting regulatory obligations. The team encompasses Governance, Risk, Compliance, Business Continuity, and a dedicated engineering function. We partner across the organization to ensure Netflix has right sized security policies, maintains appropriate controls, manages enterprise risk, and demonstrates compliance with regulatory requirements including SOX, PCI-DSS, GDPR, and others.

**The Role**

We are looking for an accomplished senior leader to lead and grow a team of high-performing GRC, business continuity and software engineering professionals while working to mature Netflix's Enterprise Governance and Cybersecurity Assurance capabilities. This is a pivotal and high-impact role responsible for setting the strategic vision and execution across multiple functions. You’ll partner broadly across the enterprise to meet continually evolving regulatory requirements in a fast moving and complex environment. You’ll be instrumental in driving a pragmatic, risk-driven, and scalable GRC program with a strong emphasis on modern, engineering first approaches.

**Desired Background**

- 10+ years in a combination of GRC, technology risk, compliance, audit/cybersecurity assurance, security governance, and/or operational resilience, with at least 4 in a leadership role.

- You have a proven track record of building and growing high-performing teams.

- You have a proven track record of building governance operating models that scale with organizational growth, changing risk landscapes, and right sized to the businesses risk appetite.

- Demonstrated success building controls and cybersecurity assurance programs that stand up to external scrutiny.

- You have deep expertise in regulatory and compliance frameworks and regimes including but not limited to: SOX, PCI-DSS, GDPR, and ISO-27001.

- You prefer risk-driven, scalable approaches over checkbox compliance and understand how to right-size controls based on actual business risk.

- You have experience building or leading GRC engineering functions that automate compliance workflows, generate metrics, and reduce manual burden.

- You are comfortable operating in a cloud-native, engineering-driven environment and can translate compliance requirements into technical solutions.

- You are a meticulous and responsive cross-team communicator who can work effectively with legal, finance, engineering, and executive stakeholders.

- You are an empathetic leader who cultivates a culture of psychological safety and inclusion where all team members can do their best work.

- You can successfully coach, mentor, develop, and inspire a talented and diverse team across seniority levels.

- You operate effectively in highly ambiguous and rapidly changing environments with minimal process and a heavy emphasis on individual responsibility.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $678,000.00 - $1,034,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Senior Manager, Enterprise Governance & Assurance

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**About The Engineering Support Organization**

**The aim of the Engineering Support Organization is to enable Infrastructure Engineering to effectively and sustainably scale the support they provide to their customers. The team is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education.**

**Our Mission**

**Deliver an excellent support experience to Netflix’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay.**

**Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Infrastructure Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.**

**Drive collaboration efforts to reduce product friction and increase usability so that Infrastructure Engineering can build, deploy and deliver highly functional solutions for the Developer Community.**

**The Role**

**We are looking for a Support Solutions Engineer with a passion for cloud networking, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.**

**Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud networking. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.**

**Location**

- Our offices are located in Los Gatos.

- Open to Remote

**What You’ll Need To Be Successful**

- Proven ability to deliver superior customer support and advocate for customer needs across complex organizations, ideally within a central team.

- Highly adaptable, thriving in fast-paced, ambiguous environments, and comfortable managing end-to-end investigations with creative problem-solving.

- Data-driven decision-maker with strong written and verbal communication skills, including experience enhancing documentation and explaining technical concepts to diverse audiences.

- Deep understanding of network access control in AWS and Kubernetes environments, including security group rule evaluation, CIDR notation, protocol/port specifications, and cross-account access patterns, with experience troubleshooting "why can't I connect" scenarios.

- Proficiency in DNS fundamentals including record types (AAAA, CNAME, MX, TXT), zone delegation, TTL behavior, and resolution troubleshooting, with hands-on experience in Route53 or equivalent DNS management platforms.

- Working knowledge of AWS VPC concepts (subnets, route tables, NAT gateways, VPC peering, PrivateLink, TransiGateways, CloudWAN) with understanding of IPv6 and IPv4 differences, including address allocation, dual-stack configurations, and IPv6-specific considerations (NAT44, NAT64, Happy Eyeballs). Familiarity with infrastructure-as-code practices and platforms (OctoDNS, Terraform) for managing network resources at scale.

- Familiarity with load balancing concepts (DNS round robin, ALB/NLB, Classic ELB), including listener configuration, target groups, health checks, and common failure modes in distributed systems.

- Ability to leverage existing monitoring dashboards, log analysis tools, and large datasets (with basic SQL) to investigate issues, identify patterns, and communicate findings clearly to both technical and non-technical stakeholders.

- Eager to continuously learn and improve operational efficiency through automation and visualization, with a strong desire to understand how security products and platforms work together.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $270,000.00 - $410,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Support Solutions Engineer (L5), Cloud Networking, CIE

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Team

The Studio Media Algorithms team is at the forefront of algorithmic innovation to enhance and support the creation of Netflix’s entertainment content, including games. In this role, you will be embedded within this team while collaborating very closely with a specialized Games Studio R&D team. This incubation-style team is chartered to lead our investments in building new kinds of games leveraging emerging technologies to support our creators and reach player audiences in new ways.

The Role

We are seeking a Machine Learning Scientist to lead the research and development of Large Language Models (LLMs), Vision-Language Models (VLMs), and multi-modal foundations and solutions for games. This role is defined by a mandate for inference efficiency; you will not only build and fine-tune state-of-the-art models but also lead the algorithmic innovation required to make them viable in terms of cost, latency, and quality across a variety of cloud and edge devices.

You will work in close partnership with our Machine Learning Engineers to bridge the gap between "research-grade" models and high-performance deployment, with your focus being on algorithmic optimization—ensuring that our language, visual, and audio models are architecturally optimized for real-time interaction and efficiency.

**Responsibilities**

- Model Adaptation & Alignment: Design and own the fine-tuning and alignment of LLMs and VLMs in PyTorch, leveraging modern preference learning and reinforcement learning to enhance reasoning, tool-use, and agentic workflows for interactive game systems.

- Algorithmic Model Optimization: Lead efforts in model compression—specifically knowledge distillation, structural pruning, and architectural refinement—to create efficient variants of large models that meet strict latency, cost, and quality constraints.

- Generative Visuals & Diffusion: Develop and optimize Diffusion-based models for Image, Video, and 3D generation, including distillation and efficiency techniques for viable game-time performance.

- Pragmatic Model Integration: Strategically evaluate and integrate SOTA open-source and commercial models while building internal "layers," adapters, and enhancements to fill gaps in creative control.

- Multi-modal Interaction: Optimize and integrate audio (ASR/TTS), language, and vision models to enable low-latency, cross-modal reasoning and interaction.

**About You (Requirements)**

- Multi-modal Architecture Expertise: Strong foundation in deep learning architectures, with deep expertise in Transformers and Diffusion architectures powering LLMs, VLMs, and generative visuals, including their specific performance bottlenecks.

- Optimization Specialist: Proven track record in algorithmic model optimization (e.g., distillation, quantization-aware training, or pruning) to reduce FLOPs and memory footprint.

- Data-Centric Mindset: Skilled in data cleaning, curation, and the creation of synthetic data for complex evaluation and training pipelines.

- Pragmatic Builder: Ability to prioritize impact by deciding when to use commercial APIs/OSS weights versus when to invest in proprietary R&D to solve efficiency or quality problems.

- Programming: Expert proficiency in Python and deep learning frameworks (such as PyTorch); ability to collaborate with engineering on low-level performance constraints.

Bonus Experience

- Prior experience optimizing models for heterogeneous hardware (Mobile, Cloud GPU, and custom edge devices).

- Expertise in audio-visual multimodal models and video generation.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Machine Learning Scientist (L4/L5) - Multi-modal Algorithms for Games

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The New Content Experiences DSE team focuses on introducing new content types and innovative experiences to our product. We partner closely with Product, Design, Algorithms, and Engineering to surface opportunities, inform product strategy, and evaluate the success of initiatives. The content we focus on includes Games, Live, Podcasts, and more exciting things to come.

**The Role**

In this role, you will:

- Drive product innovation focused on our Games vertical and help shape the member experience through robust measurement strategies covering experimentation, modeling, and analytics.

- Establish strong partnerships with stakeholders to realize our vision for Games

- Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.

- Facilitate ownership and accountability by ensuring the team produces trustworthy, high-quality outputs that inform decisions and shape the direction of member experience.

- Be flexible to changing circumstances. Netflix Games is evolving rapidly, and this role will help shape its future.

**To Be Successful In This Role, You Have**

- Experience with supporting experimentation at scale and observational causal inference to drive product development

- Strong statistical intuition and applied experience solving problems in consumer-facing products. Experience analyzing recommender systems is a plus.

- Expertise in SQL and statistical programming (Python and/or R)

- Exceptional communication with technical and non-technical audiences. Excellent at managing multiple stakeholders and competing priorities.

- Comfort with ambiguity; ability to thrive with minimal oversight and process.

- A passion for product development and design.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Data Scientist 5 - Member Experience for Games

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.

ML models can only be as good as the data we provide them. That's why we continue to innovate on making data and feature engineering as simple, scalable, and efficient as possible. Are you interested in joining us on this mission? You will have the opportunity to build cutting-edge data and feature infrastructure that will power ML models across various domains, including personalized recommendations, payments, games, ads, and more.

**The Opportunity**

In this role, you will have the opportunity to build a next-generation ML data and feature platform to significantly improve the productivity of ML practitioners. Our goal is to enable our ML practitioners to easily define and test ML features and labels, while our platform takes care of the computation, storage, and serving of feature values for both high-throughput training and low-latency member-scale inference use cases.

You will also have the opportunity to build a centralized feature and embedding store to enable sharing across various ML domains. Unlocking access to these shared datasets will foster innovation through ML in new business areas that otherwise wouldn’t have been feasible. You will collaborate closely with ML practitioners and domain experts to ensure that our models are built with high-quality features and labels. You will also get to work with the broader Machine Learning Platform organization to deliver a cohesive end-user experience that significantly improves the productivity of ML practitioners.

**Here are some examples of the types of things you would work on:**

- Design and build a near-real-time feature computation engine to generate ML features for both high-throughput training and low-latency inference applications.

- Operate and manage the feature computation pipelines and feature serving infrastructure for various ML models across multiple ML domains.

- Build and scale systems that accelerate training through performant data loading, transformation, and writing.

- Create frameworks to streamline and expedite the availability of new data for training and serving.

- Develop feature stores that enable feature discovery and sharing.

- Increase the productivity of ML practitioners by making it easy to define and access features and labels for experimentation and productization.

**Minimum Qualifications**

- Experience in building ML or data infrastructure

- Strong empathy and passion for providing a fantastic user experience to ML practitioners

- Experience in building and operating 24/7 high-traffic and low-latency online applications

- Experience with large-scale data processing frameworks such as Spark, Flink, and Kafka

- Experience in working with and optimizing Scala and/or Python codebases

- Experience with public clouds, especially AWS

- Self-driven and highly motivated team player

**Preferred Qualifications**

- Experience in building and operating ML feature stores

- Experience with Functional Programming

- Experience working with Notebooks such as Jupyter or Polynote

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Software Engineer L4/L5 - Data and Feature Infrastructure, Machine Learning Platform

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

In Growth Product Experiences, we create amazing user experiences, blending our role as a top streaming service with exciting engineering challenges. We develop A/B tests and features for web, TV, and mobile platforms to introduce Netflix to more people, encourage sign-ups, and keep members engaged for the long haul.

Our team thrives on growth, proactivity, curiosity, and selflessness, embracing diversity, inclusion, and equity. If you're passionate about quality code and captivating UI that reaches global audiences, we'd love for you to apply.

What will you do in this role?

The Monetization Experiences Team is a Full-Stack team at the forefront of driving revenue growth and enhancing user experiences. By strategically collaborating with cross-functional partners in business, product, and technology, we deliver impactful solutions that seamlessly integrate across all platforms. Our team crafts and deploys innovative full-stack solutions, refining both new and existing plans and pricing strategies to adapt to market demands and user preferences, thereby maximizing revenue potential. As a member of this team, you'll create modular experiences that minimize client-side logic. Your work will enhance flexibility, increase experimentation speed, improve user experience, and directly contribute to our bottom line.

**Key Responsibilities**

We are looking for a Senior UI Test Engineer who is passionate about product experiences and is focused on delivering high-quality code.

- You work closely with cross-functional partners to communicate impact and understand business requirements

- You will consult on test plans and test strategies for new product innovations.

- You are self-motivated and high-performing, with a passion for both the business and the tech

- You have a tester mindset, be curious and come up with interesting test scenarios

- You will improve our automation test stability by building the test pyramid, restructuring unstable tests, and writing new tests.

- You have deep expertise in software testing via automation, preferably with web or TV. Experience with native mobile based applications (iOS, Android) is a nice to have

- You have excellent debugging skills in diagnosing issues in a multi-tier web architecture

We believe in creating opportunities beyond roles and across team lines, and the breadth of scope in the team is full of opportunities to explore and grow.

What Sets You Apart?

We value aptitude over experience, and here are some key points that will make you successful on our team:

- Exceptional proficiency in the fundamentals of any programming language (although our interviews will be conducted in Javascript or Java)

- Experienced with building all layers of the test pyramid and familiarity with common testing tools and frameworks

- Capable of building deep context in a distributed architecture comprising many systems and services

- Demonstrates proven leadership for managing and closing automation tickets

- Incredibly selfless and willing to “Pick up the Trash,” a metaphor for taking care of problems, small and large, and never thinking “that’s someone else’s job.”

- Exhibits exceptional grit and persistence when it comes to solving challenging technical problems

- Displays a strong sense of independence, bias towards action, and inclination for collaboration

What’s Different About Us?

- Growth Product Experiences is a team that celebrates and values the business impact we have on Netflix, and not just the engineering contributions we make. If you have a strong product mindset that loves knowing how your work directly impacts our customer growth and revenue, this is the team for you.

- We move fast and iterate quickly - we take ideas from concept to reality in a matter of weeks, not quarters. Expect a broader range of projects compared to other teams.

- Inclusivity is something we embrace - diverse backgrounds, perspectives, and styles are something we’re proud of. We value thoughtful engineers who lead with passion, resilience, a positive attitude, and a high degree of empathy. You can be your authentic self on this team, as we look for culture adds, not culture fits.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $266,000.00 - $442,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Software Development Engineer in Test 5 - Plans and Pricing

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

At Netflix, we want to entertain the world and are constantly innovating on how entertainment is imagined, created, and delivered to a global audience. Engineering teams within Netflix work hard every day to scale and innovate content production and member experiences in an ever-growing complex software landscape.

Our Content & Business Products (CBP) Engineering teams build the products and services to optimize and automate the content creation process including content planning, financing, production, promotion, and distribution. We support Netflix's enterprise needs including Finance, Talent, Tech Support, and Customer Support to ensure smooth operations. Our products enable the entire workflow of content production, from pitch to play, and provide innovative new ways to develop and manage entertainment at scale. The team’s work is critical to supporting the creation of movies and TV series that will thrill the world!

**Qualifications**

- You have 5+ years of experience crafting resilient, high-scale, low-latency, distributed microservices in production environments.

- Proficient with gRPC, GraphQL, or RESTful API design and implementation.

- Have recent proficient experience with Java, C#, or other OO programming languages with a solid understanding of OO design principles, concurrency, multi-threading, performance tuning, and observability.

- Have a proven track record in architecting, building, and operating distributed systems with high availability, fault tolerance, and performance.

- Have solid experience in setting technical directions for engineering projects, making architectural decisions, and influencing partner and cross-functional teams.

- Have the ability to proactively describe complex technical concepts to a variety of stakeholders, driving conversations and decisions through written and/or verbal communication.

- Participate in our on-call rotation and lead the incident reviews.

**What Sets You Apart**

- Curious about a broad range of new or unfamiliar technologies, the consumer base, and product vision.

- Seek different perspectives, feedback, and relevant information to continuously grow and improve.

- Maintain strong relationships with cross-functional teams through clear communication.

- Take a thoughtful, practical approach to problem-solving that considers tradeoffs and avoids over-engineering.

- Comfortable asking questions and seeking knowledge in unfamiliar or ambiguous situations.

- Endeavor to elevate the knowledge, skills, and abilities of yourself and others that are conducive to fostering an inclusive, collaborative environment.

**Spotlight On CBP Engineering Teams**

**Content and Catalog Understanding**

The Content Promotion and Distribution (CPD) Engineering Organization creates technology to set up, promote, localize and launch content on the Netflix service and off service on social channels. We build products and services that manage a global entertainment catalog and enable our members to discover, choose and talk about the content they can watch or play. Within the CPD organization, the Content and Catalog Understanding Engineering Team is responsible for building technology that enables both human and machine learning based review of our entertainment catalog to enable classification and categorization. This powers the fundamental building blocks for how member discovery experience is constructed, how we target the right advertisements against the right content, and much more.

**A Few More Things About Us**

As a team, we come from many different countries and our fields of education range from the humanities to engineering to computer science. Our team includes product managers, program managers, designers, full-stack developers, distributed systems engineers, and data scientists. Folks have the opportunity to wear different hats, should they choose to. We strongly believe this diversity has helped us build an inclusive and empathetic environment and look forward to adding your perspective to the mix!

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Software Engineer 5 - Content & Business Products

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The data platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix, so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment.

We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S.

**Spotlight On Data Platform Teams**

**Data Discovery and Governance**

Data Discovery and Governance are strategic bets at Netflix that underpin our ability to leverage data as a valuable asset. The Netflix data discovery and governance team owns the foundational building blocks necessary for ensuring all our data is used effectively, efficiently, securely, and in compliance with regulations. Specifically, this allows Netflix to organize its data better, take informed actions with increased precision in security, privacy, and efficiency, improve our risk management capabilities, increase confidence in the quality of the data, and enable the discovery & auditing of high-value datasets.

While Netflix has built a strong data platform foundation, we are still in the very early stages of setting up a scalable and extensible data discovery platform to help the company derive higher-level insights and values of data across new businesses like Games, Live, Ads, on top of our streaming service.

Specifically, this team owns the Netflix-wide data catalog to capture and infer business metadata across all datasets at Netflix, distributed search and lineage infrastructure to effectively discover data and track lineage across different systems; and an extensible policy engine framework that allows our stakeholders to customize data policy rules for all datasets.

**Online DataStores - ****KeyValue Team**

The KeyValue team (part of the Online Data Stores portfolio) offers a managed key value store to meet Netflix's operational data requirements across all lines of business. Our focus is on developing and maintaining a high-performance, reliable, and efficient key-value store. Additionally, we enhance developer productivity by providing secure, intuitive and opinionated access layer for our backing storage engines including Cassandra.

This team is passionate about building innovative, efficient, performant, and scalable offerings for our customers. Our team also engages with the Cassandra open source community, actively contributing to and responsibly stewarding the development and use of open source software.

**Online DataStores - Caching**

Our focus is on developing and maintaining highly performant, reliable, and cost-efficient data storage solutions at Netflix’s extreme scale. These data stores are built from a combination of world-class in-house solutions that are open-sourced and used by top technology firms, as well as state-of-the-art data solutions from public cloud offerings. Additionally, we enhance developer productivity by providing opinionated and intuitive, secure abstraction layers on top of the base storage systems.

The Online Data Stores team is a customer-obsessed infrastructure team that strives to accelerate the growth and diversification of Netflix’s business verticals through world-class data storage technologies. Our team also seeks to impact the greater technology landscape by engaging with open source communities, actively contributing to, and responsibly stewarding the development and use of open source software.

The Netflix Online Data Stores Caching Team provides extremely low-latency yet high-throughput in-memory and distributed data storage solutions across the company. Our services power mission-critical Tier-0 Netflix services such as the streaming Catalog and Content Delivery Network (CDN) metadata. We are looking for passionate and innovative software engineers to join our team to build novel caching architectures that push the limits of performance, cost efficiency, utility, and usability.

**Analytics Infrastructure and Enablement**

Our Analytics Infrastructure and Enablement team offers a platform that enables data practitioners to develop and manage data models for broad analytical use and to produce analytic products with efficiency and ease. The ultimate goal of the team is to enable broader self-service of high-fidelity analytics by developing robust APIs, user-friendly interfaces, and semi-automated data management and governance systems. Our team offers abstractions on Netflix's expansive data warehouse, and other data platform components, to provide easy access to semantic data models and easier development of analytical reporting and visualizations.

**Data Developer Experience (DDX)**

The Data Developer Experience (DDX) team at Netflix is dedicated to enhancing the experience of data practitioners—including Data Engineers, Analytics Engineers, ML Engineers, and Data Scientists. As we evolve toward the next generation of our data platform, the DDX team is focused on boosting productivity by developing cutting-edge data tools and infrastructure that eliminate the friction and toil of building, maintaining, and leveraging data products. If you're passionate about shaping the future of developer experience, making it faster and easier for Netflix data practitioners to deliver outstanding data products, come join our team!

**Data Movement Platform - Abstractions**

Provides a self-service, abstracted platform that empowers diverse user groups across Netflix to fulfill their data movement and processing needs. We own and operate Data Mesh and Data Bridge. They are the paved paths for real-time and batch data movement and transformation, with huge adoption among many teams at Netflix. We also focus on operational automation, reliability and data consistency. You will have the opportunity to work on a massive distributed system that operates thousands of pipelines and processes billions of records per second.

**This Would Be Your Dream Job If You Enjoy**

- Solving real business needs at a large scale by applying your software engineering and analytical problem-solving skills.

- Architecting and building a robust, scalable, and highly available distributed infrastructure.

- Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM across teams.

- Sharing our experiences with the open source communities and contributing to Netflix OSS.

**About You**

- 7+ years experience in crafting complex, scalable distributed data infrastructure

- Proficiency in Java, C++, Golang, or Python with a solid understanding of multi-threading and memory management

- Proven track record of developing and maintaining high-impact systems

- Experience building and operating scalable, fault-tolerant, distributed systems

- You have a BS in Computer Science or a related field

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Distributed Systems Engineer (L5) - Data Platform

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Content and Business Products team builds technology to scale Netflix's content operations from concept to streaming. We create systems and services that enable teams worldwide to plan, produce, distribute, and promote our titles. This role sits within the Content Foundations team, which creates both end-user applications and developer platforms that ensure reliable data and efficient workflows across our content lifecycle.

We are looking for a Technical Product Manager to drive the strategy and evolution of our application development platforms. Your goal is to reduce cognitive load for engineers by abstracting infrastructure complexity and integrating AI-native capabilities into our foundational systems. You will partner closely with engineering to simplify the software development lifecycle, transforming disparate tools into a seamless 'paved road' that accelerates innovation. This is a rare opportunity to build at the intersection of massive scale and developer experience, directly impacting how content is created, managed, and delivered to hundreds of millions of members worldwide.

**What You Will Do**

- Define Platform Strategy: Drive the long-term vision and roadmap for foundational application platforms, balancing immediate engineering needs with long-term architectural shifts (e.g., integrating AI-driven development workflows).

- Simplify Developer Experience: Identify and eliminate friction points for Netflix engineers. Deliver cohesive managed runtimes and developer solutions that enable teams to build complex, stateful applications without managing underlying infrastructure.

- Champion a "no-ops" mindset where platform tooling abstracts operational complexity.

- Accelerate Adoption: Partner with engineering leaders across Content and Studio teams to drive migration from legacy systems to modern platforms

- Measure Success: Define and track metrics related to platform reliability, and adoption, ensuring our investments deliver measurable improvements in engineering productivity.

- Evangelize the Platform: Act as the primary advocate for the application developer platform. Author strategy memos and represent the team's work to senior leadership.

**What We’re Looking For**

- 7+ years in Product Management building and scaling technical developer platforms, or workflow automation tools

- Deep technical fluency in distributed systems, event-driven architecture, and the software development lifecycle (SDLC) with the ability to debate architectural trade-offs with engineering leads

- Developer-Centric Mindset: You view internal platforms as products that must delight their users. You understand the high cost of context switching and are dedicated to removing friction from engineering development

- Strategic Thinking: Ability to Connect technical platform capabilities to broader business goals

- High AI Literacy: Experience launching or integrating AI-enabled developer tools (e.g., coding assistants, AI agents) or leveraging AI to optimize workflow automation.

- Influence without authority: Proven ability to align cross-functional teams and drive organization-wide change management and platform adoption.

- Communication skills: Excellent written and verbal communication, with the ability to translate complex technical concepts for diverse audiences.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $310,000.00 - $545,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Product Manager, Enterprise Developer Enablement

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Everything that we build to delight our members, and all of the work we do to figure out how to do that better, relies on our extensive infrastructure, which spans what we rent from AWS to what we build ourselves (we operate our own custom-built content delivery network, Open Connect). Because this infrastructure is so central to everything we do, we want to ensure we are using it in the most effective and efficient way. Doing that well starts with great visibility into how we are using our infrastructure, and actionable metrics and analytics to help us take action as needed.

As a Senior Data Scientist focused on Infrastructure Experimentation, you will join a data org of Analytics Engineers, Data Engineers, and Data Scientists who partner with our infrastructure engineering teams to measure, model, and surface the infrastructure impact of product experiments. You will work closely with partners in data science, platform engineering, and experimentation platform teams to build and maintain models and experimentation capabilities that predict the cost and performance implications of A/B tests, enabling experiment owners to make more holistic decisions that balance member impact with infrastructure performance.

The ideal candidate will excel in experimentation design and evaluation, causal inference, and applied machine learning, with a passion for applying these skills within the infrastructure domain.

To learn more about our team, read here. To learn more about the work in this role, see our recent presentation at AWS Re:invent.

**In This Role, You Will**

- Build and maintain machine learning models that predict the infrastructure cost impact of A/B experiments, translating experimentally observed signals (e.g., request volume changes) into business and system metrics (e.g. projected annualized costs)

- Drive adoption of infrastructure metrics within the experimentation community through analysis, consultation with experiment owners, documentation, and training

- Partner with platform teams (Observability, Experimentation Platform) to improve the quality and coverage of infrastructure usage data feeding our models

- Extend our measurement framework to new metrics (e.g., latency) and new experiment types (e.g., infrastructure canary tests)

- Champion an infrastructure lens within the broader experimentation community,

helping shift culture toward reasoning about the full ROI and infrastructure impact of experiments

- Connect with the larger analytics and experimentation communities at Netflix to bring visibility to our work and learn from others

**You Are**

- Experienced in experimentation methodology and causal inference, with a strong foundation in A/B testing, treatment effect estimation, and statistical significance

- Experienced in building and maintaining machine learning models in production,

including the full lifecycle of training, evaluation, monitoring, and continuous

improvement

- Fluent in Python and SQL, with experience engineering data pipelines and working with large-scale data systems

- A strong collaborator who thrives in horizontal roles with broad stakeholder surfaces, comfortable influencing decisions through data and analysis rather than direct authority

- An exceptional communicator who can flex between technical and non-technical

audiences, translating statistical concepts for software engineers and business leaders alike

- Comfortable with messy, incomplete data environments and able to balance short term execution with a drive to improve data quality over time

- A strong product thinker who views data science outputs as products, taking an

end-to-end ownership mindset from data quality through to user adoption

- Comfortable with ambiguity, and thrive with minimal oversight and process

- Curious about infrastructure systems; prior experience in the infrastructure domain is a strong plus but not required; the ability and motivation to learn is essential

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Data Scientist 5 - Infrastructure Experimentation

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are seeking a data-driven Risk Analyst to support and elevate our risk management capabilities. You will manage casualty claims directly while simultaneously leveraging analytics to drive strategic improvements across auto liability, general liability, and workers' compensation.

This role involves leading internal and external claims processes and teams to positive results, deep-diving into claims data analysis to identify trends and improvements, enhancing risk mitigation strategies, and supporting process automation initiatives. Success requires a strong background in claims with proficiency in leveraging data to drive simple, intuitive, and actionable insights.

This role reports to a Senior Manager within Risk Management and joins a technical risk team responsible for managing Netflix's insured and self-funded claims. The ideal candidate is a collaborative team player eager to “roll up their sleeves” and do hands-on work. They possess the ability to quickly build trust and effectively manage risk by working collaboratively with internal and external stakeholders.

This is a demanding, fast-paced role within a high-performing team. The ideal candidate will exhibit curiosity, significant initiative, and a proactive approach to tackling challenges, consistently pushing for excellence in risk management.

**Key Responsibilities**

Claims Oversight & Risk Mitigation

- Manage WC, auto liability, and general liability claims, leading Third-Party Administrators (TPAs), insurers, and legal teams to positive results

- Build intuitive reports that enable analysis of claim drivers

- Recommend data-driven mitigation strategies to reduce claim costs, claims frequency, and improve outcomes.

- Collaborate with cross-functional teams (e.g., Finance, Legal, Safety) to ensure claims data is leveraged for operational improvements.

- Ensure compliance with insurance program requirements

- Ensure compliance with Netflix reserving philosophy, approve reserves and settlements within designated authority levels, escalating high-risk cases to the Senior Manager as necessary.

- Review and analyze claims for delays, denials, and other potential issues, providing guidance on resolutions.

- Drive claim reviews and manage/lead TPA within assigned claims inventory and support overall TPA management

Return to Work (RTW) Program Support

- Drives and manages RTW within assigned claims. Supports the management and success of the RTW program, ensuring compliance with relevant regulations and assisting injured employees in their transition back to work.

- Collaborates with HR, Safety, and Legal teams to develop and implement effective RTW strategies and policies.

- Manages return to work for assigned claims, communicates work restrictions, and coordinates modified duty to reduce claims costs.

Data Analytics & Reporting

- Extract, clean, and structure large claims datasets to improve risk visibility and decision-making.

- Develop and maintain interactive dashboards and reports to track claims performance, cost trends, and loss projections.

- Leverage data analytics tools (e.g., SQL, Tableau, Power BI, Python, Excel) to identify risk exposure, claim patterns, and cost-saving opportunities.

- Identify opportunities to streamline and automate claim reporting processes and ensure data integrity in risk management platforms (e.g., Origami Risk, Riskonnect).

- Conduct deep-dive analyses on claim frequency, severity, legal spend, and loss development.

- Utilize predictive modeling and trend forecasting to support proactive risk management initiatives.

- Familiarity with actuarial fundamentals and actuarial reports.

**Collaboration with Stakeholders**

- Develops strong partnerships and communicates/collaborates closely with internal Netflix teams, productions, and external partners (TPAs, brokers, physicians, vendors, and payroll companies).

- Provides guidance and support for loss prevention matters to ensure an open, proactive, and effective loss prevention culture.

- Supports operational/internal customer needs.

- Liaison (as appropriate) between Productions and TPAs.

- Maintains flexibility and openness to take on additional projects as needed.

- Presents to cross-functional partners on an ongoing basis for updates to the program, training, etc.

**Qualifications & Skills**

- Bachelor’s Degree in Business/Finance preferred.

- 7+ years of experience in risk management, casualty claims, and insurance (preferably with Workers’ Compensation and Auto liability exposure)

- Strong proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau, SQL, RMIS).

- Experience working with claims management systems (e.g., Origami Risk, Riskonnect, or similar)

- Knowledge of insurance policies, coverage interpretation, and claims handling best practices.

- Strong problem-solving and critical-thinking skills with a keen attention to detail.

- Excellent communication and collaboration skills, with the ability to present complex data to stakeholders.

- Strong project management skills.

- Highly analytical, with the ability to use data to drive desired results and support intelligent risk-taking.

- Ability to challenge the status quo and drive change where appropriate. Thrives on change, pace, action, and accountability combined with an ability to adjust to changing priorities.

- Ability to support and contribute to a high-performing team and lead external TPAs to desired results. Demonstrated high level of collaboration within a claims team and broader cross-functional partners.

**Preferred Qualifications**

- Experience on a corporate casualty/liability claims team

- High level of organization, and the ability to multitask and manage time effectively.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000.00 - $265,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Senior Analyst, Casualty Claims

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**The Netflix Infrastructure Engineering organization drives business growth and innovation through a robust platform essential to Netflix’s scale and operations. Our Data Platform supports the full data lifecycle—from online data stores and movement to analytics—enabling data practitioners to build and use reliable datasets and insights with speed and confidence. It powers data‑driven decisions at global scale, letting teams focus on what truly matters: helping Netflix entertain the world.**

**The Opportunity**

**We’re seeking a Senior Product Designer to shape the next generation of data movement (pipelines/jobs) and online data store (ODS) experiences at Netflix. You’ll help software engineers, data engineers, analytics engineers, and ML engineers—and on‑call owners—move from change intent to reliable outcomes: configure and validate pipelines, observe and troubleshoot runs, evolve schemas safely, make ODS operations self‑serve and safe (e.g., capacity/index changes with guardrails), and set up automatic syncing between ODS and analytics, in addition to streamlining the customer experience across ODS and Data Movement products.**

**You will focus on end‑to‑end workflows such as:**

- Administering and evolving online data stores, self‑serve: safe capacity and index/schema changes with guardrails; paved paths for common maintenance

- Operator and launch experiences for online data stores: privileged updates with approvals/audit; provisioning, discovery, and adoption of new stores (e.g., search); read‑safe data exploration and verification to confirm data appears as expected after creation or fixes (e.g., sample/lookup).

- Designing and running pipelines and data flows: authoring and review, scheduling, handling retries/backoffs and backfills, managing runs with clear dependency views (directed acyclic graphs, DAGs), and supporting batch/streaming movement including change data capture (CDC)/replication and automatic syncing

- Diagnosing and fixing issues faster: pipeline health at a glance; freshness, lag, throughput, and error signals; guided triage that links runs, logs, metrics, lineage, config diffs, and data samples

**Your work will reduce cognitive load, build trust, and speed safe change—for example, making pipeline setup and validation straightforward, surfacing actionable run signals, and previewing the impact of schema changes before they ship. You design for coherence across UI, CLI/IDE, and APIs with one mental model, and apply pragmatic AI‑assistance (incident summaries, natural‑language filters, config‑diff explanations).**

**If you’re passionate about solving complex, technical design problems in data infrastructure—and want your work to directly influence how Netflix ships reliable, data‑powered experiences at scale—we’d love to talk to you.**

**What You Will Do**

**Design Vision and Strategy**

- Shape and own design for ODS and movement platform; creating intuitive workflows that enhance data practitioner and software engineer productivity and delight

- Contribute to and help drive adoption of patterns and components for operational, data‑dense UIs (runs, pipelines, lineage, diffs) that scale across the platform

- Identify opportunities for innovation through research, incident analysis, and technical insight; sequence delivery for measurable impact

- Create cohesive, end‑to‑end experiences with guardrails over gates (paved paths, templates, defaults) to reduce errors

- Partner with product and engineering to define and improve how we measure experiences

- Anticipate emerging needs and help frame design problems early

**Design Leadership and Execution**

- Drive end‑to‑end design for interdependent workflows

- Craft and validate prototypes that effectively communicate solutions

- Establish scalable design practices and foundational patterns

- Scope and negotiate realistic deliverables with partners

- Mentor designers and partner teams; help grow shared understanding and adoption of effective design practices

**Cross-functional Collaboration**

- Co‑create strategy with product and engineering leadership to drive critical initiatives for your product area

- Facilitate workshops with technical stakeholders; build consensus on implementation, trade‑offs, and sequencing

- Articulate compelling design solutions and decision rationale to senior leadership, connecting technical challenges to business outcomes

- Lead through influence across teams to ensure coherent, cross‑surface experiences (UI, IDE/CLI, APIs)

**What We’re Looking For**

**If you’re excited about this role but don’t meet every single requirement, we encourage you to apply. We value potential, transferable experience, and a learning mindset.**

**Essential Experience And Skills**

- 5+ years as a Product Designer (or equivalent experience)

- Experience designing orchestration and/or data movement tools, databases, developer/data platform tools, or analogous complex technical products

- Strong portfolio showing system‑level product work and the impact of your design leadership, including initiatives that span multiple teams

- Proven track record of leading design initiatives from concept to launch

- Proficient in design tools (Figma, etc.) and prototyping technologies

- Strong systems thinking and ability to design scalable solutions for complex data/analytics challenges

**Leadership and Collaboration**

- Successfully led design strategy for complex technical products

- Proven track record of influencing and aligning cross-functional partners without direct authority

- Ability to navigate ambiguity, create clarity, and move complex initiatives forward with partners

- Excellence in communicating design decisions to technical audiences

- Demonstrated success in mentoring designers and improving team practices

- Strong ability to work autonomously and drive initiatives independently

- Skill in sequencing and communicating long-term vision through incremental steps

- Ability to collaborate effectively with engineers (coding skills not required)

**Technical Understanding**

- Literacy in data/analytics and software engineering workflows (e.g., Git‑ and DSL/YAML‑based config with tests, docs, CI, pre‑commit validation); empathy for code‑first users in IDE/CLI

- Fluency in orchestration and data movement: pipelines/DAGs (dependency graphs), runs/retries/backfills, streaming (e.g., Kafka/Flink/Spark), CDC/replication, and Zero ETL

- Familiarity with online data stores (e.g., key‑value, search, relational, caching) and integration with analytical destinations (e.g., Apache Iceberg), including TTL and consistency considerations

- Strength designing data‑dense, system‑oriented interfaces (lineage/dependency graphs, run trees, schema diffs) with embedded trust signals (freshness, status, ownership, change history, SLO/SLA)

- Understanding of permissions/entitlements, data contracts, and compliance constraints and their UX implications

- Applied AI/ML‑enhanced experiences a plus (e.g., conversational queries, guided analysis)

**Values**

- Continuous learner passionate about design excellence and culture

- Self-motivated and autonomous

- Mature approach to giving and receiving feedback

- Collaborative and ego-free in technical discussions

- Comfortable with ambiguity and driving clarity

**More About Infrastructure Engineering @ Netflix**

- MIT CODE 2024 Practitioners Panel: Design & User Experience Perspectives (video)

- Netflix’s Distributed Counter Abstraction (techblog)

- Unifying the Netflix engineering experience with a federated platform console (video)

- Incremental Processing using Netflix Maestro and Apache Iceberg (techblog)

- Lessons from designing Netflix’s experimentation platform (video)

- Full Cycle Developers at Netflix -- Operate What You Build (techblog)

- Netflix Data Engineering Summit (techblog)

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $350,000.00 - $520,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Senior Product Designer, Data Platform - Online Data Stores and Movement Platform

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**Our Team**

The Ads Platform team builds the advertising systems and integrations that power the delivery of ads using our world class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our members’ viewing experience and drives great outcomes for advertisers.

Our team is new and yet faced with the ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that differentiate Netflix from other ad-supported streaming services.

We are looking for a Product Manager in the advertising space who is excited to join us on this journey.

**About The Role**

This PM will own the end-to-end experience for human and agentic developers interacting with Netflix Ads. You will treat our platform (APIs, SDKs, documentation, and sandboxes) as a first-class product.

Your mission is to eliminate friction. You will define the "Golden Path" for internal engineers to ship features faster and build the industry-leading Developer Portal that allows external partners to go from "signup" to "first successful API call" in minutes, not weeks. Crucially, you will ensure our platform is "AI-native," providing the high-quality metadata and schemas necessary for agentic workflows to autonomously interact with our systems.

**This PM Will**

- Define the Vision for Ad-Tech Programmability: Create the roadmap for a unified developer ecosystem that serves both internal high-velocity engineering and external partner integrations.

- Build for the Future (Agentic DevEx): Architect API standards and discovery layers that are optimized for LLMs and autonomous agents, ensuring our infrastructure is ready for the next wave of AI-driven ad management.

- Launch the Netflix Ads Developer Portal: Own the external-facing hub for documentation, API keys, and self-service onboarding, ensuring it reflects the Netflix brand’s commitment to quality.

- Empower Through Tooling: Deliver robust SDKs, CLI tools, and sandbox environments that allow developers to test complex ad-tech scenarios safely and instantly.

- Drive Discovery & Documentation: Move beyond static wikis to create a living, searchable "Source of Truth" for all Ads APIs, including automated "Golden Path" guides for common integration patterns.

- Measure Success through Speed & Joy: Track and optimize DORA metrics for internal teams, "Time to First Hello World" for external partners, and overall Developer NPS.

- Community & Convention: Establish and champion ad-tech protocols and conventions that make our platform feel familiar to industry veterans while remaining uniquely Netflix.

**We’re Seeking a Candidate Who Has**

- Experience: 10+ years of Product Management experience with a focus on Developer Platforms, API-as-a-Product, or Technical Infrastructure.

- Domain Acumen: Deep expertise in advertising-oriented protocols (IAB Standards, etc) and the nuances of publisher-side integrations.

- Community Builder Mindset: A proven track record of building and scaling thriving developer communities or ecosystems.

- Technical Depth: Comfort with modern system architecture, schema design, and the emerging requirements of LLM-integrated APIs.

- Empathy-Led Design: A passion for removing "papercuts" in the developer journey and a belief that developer tools should be as intuitive as consumer apps.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $440,000.00 - $725,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Product Manager, Developer Experience (Ads)

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Netflix House is a first-of-its-kind, permanent, year-round home for fans where you can explore, play, taste and shop your way through your favorite Netflix stories. It’s free to enter, and once inside, you can dive into activities that immerse you in your favorite titles with a mix of complimentary and paid experiences. With fresh experiences dropping regularly throughout the year, there's always a new reason to come back.

**The Role**

**Human Resources Specialist - Netflix House**

**Philadelphia**

**Netflix is one of the world's leading entertainment services, with 300 million paid memberships in over 190 countries enjoying TV series, films, and games across a wide variety of genres and languages. Members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.**

**Netflix Houses are our permanent, always-on entertainment venues, where guests can step into their favorite stories and have in real life experiences. The ultimate goal is to increase Fandom for our members. We want these experiences to help promote our titles and build them into title brands or franchises so they become part of the zeitgeist for longer periods of time.**

**As the Human Resources Specialist for Netflix House, you’ll be the on-the-floor people expert who keeps the operation running smoothly. You’ll be a go-to partner for our hourly crew and frontline managers—owning high-volume recruiting, handling day-to-day employee relations, and making sure our HR systems, ticketing, and performance practices actually work in real life. By staying close to what’s happening on the floor and supporting managers in the moments that matter, you’ll turn the broader Netflix HR vision into a consistent, supportive, and engaging employee experience for every crew member.**

**What You Will Do**

- Develop and lead the day-to-day HR support for our hourly crew members at Netflix House, staying close to the floor and helping create a positive, consistent employee experience.

- Own end-to-end recruiting for hourly roles, including posting, sourcing, screening, interviewing, offers, and onboarding coordination for high-volume and high-attrition positions.

- Partner with frontline managers on staffing and scheduling needs, translating labor plans into practical headcount, hiring and staffing actions.

- Manage day-to-day employee relations for hourly crew—handling issues like attendance, performance concerns, and interpersonal conflicts—escalating complex or high-risk matters to the HR Manager when needed.

- Serve as a visible, approachable HR contact for crew members, answering questions, explaining policies, and connecting them to resources and support.

- Help ensure managers consistently use our performance management tools by reminding, coaching, and supporting them in documenting feedback, coaching, and corrective actions.

- Support compliance with federal, state, and local jurisdictional requirements by helping maintain accurate employment documentation, training records, and adherence to regulatory and policy standards.

- Maintain awareness of local hiring conditions for hourly roles (talent competition, candidate expectations, wage trends, transportation challenges) and share insights with the HR Manager and site leadership.

- In collaboration with the Training Coordinator, support onboarding for hourly crew, helping to deliver a smooth first-week experience and reinforcing expectations, culture, and ways of working.

- Partner with the HR Manager and site leaders to bring inclusion & diversity efforts to life.

- Continuously look for ways to improve how we recruit, onboard, communicate, and support crew—testing new ideas, using data and feedback to refine processes, and sharing what you learn.

**What We Need From You**

- 5+ years of HR experience in high-volume, frontline environments such as hospitality, retail, F&B, or entertainment. Experience in the local market preferred.

- Hands-on experience supporting hourly/crew populations, ideally in an on-site role where you’re close to daily operations.

- Proven track record managing end-to-end recruiting for hourly and shift-based roles—from sourcing and screening through offers and onboarding.

- Solid understanding of local labor laws and regulations, and experience helping ensure compliance across employment documentation, scheduling rules, and training requirements.

- Experience managing and maintaining Form I-9 documentation and conducting employment eligibility verification through E-Verify in accordance with federal guidelines.

- Experience handling day-to-day employee relations issues (attendance, performance, conflict, policy questions), with good judgment on when and how to escalate.

- Comfort using HR systems and tools (ATS, HRIS, ticketing, scheduling, performance platforms), with strong attention to detail and follow-through. Experience with Workday and Zendesk a plus.

- Ability to use data and trends (e.g., attrition, time-to-fill, ER cases, ticket volume) to spot patterns and suggest practical improvements.

- Demonstrated ability to work in fast-paced, ambiguous environments, staying organized and calm while priorities shift.

- A real commitment to creating a safe, inclusive, and respectful workplace for a diverse crew, and to applying those principles in hiring and day-to-day interactions.

- Clear, direct communication skills—both verbal and written—with the ability to connect effectively with hourly crew, supervisors, and site leadership.

- A collaborative, service-oriented mindset—you like being on the floor, solving problems, and supporting managers in real time.

- Curiosity and a continuous improvement mindset: willingness to question how things are done today and help test new ideas that can make the crew experience better.

- Availability to support 7-day coverage across the HR team for a 365-day operation with some weekend and holiday availability.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $104,500.00 - $146,500.00.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you need an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix House is a unique culture and environment. Learn more here.

Job is open for no less than 7 days and will be removed when the position is filled.

HR Specialist, Netflix House - Philadelphia

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Physical Identity and Access Manager is responsible for overseeing the development, implementation, and management of the company’s physical identity and access management program. This role ensures the security and safety of employees, visitors, and physical assets by managing access control systems and protocols. The Physical Identity and Access Manager will work closely with various departments to ensure compliance with security policies and procedures while providing excellent customer service. We encourage candidates of all backgrounds, identities, and experiences to apply—even if you don’t meet every qualification listed. Your unique perspective could be exactly what we’re looking for.

- Set and maintain high standards for the design, configuration, operation, and quality assurance of all physical identity and access management (PIAM) systems and platforms.

- Develop, implement, and manage physical access control policies and procedures.

- Manage access rights and permissions for employees, contractors, and visitors.

- Lead the deployment and integration of advanced technologies (including AI, automation, and biometrics) to enhance and streamline Netflix’s physical security and access control programs.

- Manage the issuance and revocation of physical and mobile identification credentials.

- Ensure accurate and up-to-date records of all identity and access data.

- Collaborate with HR and IT departments to integrate identity management with other systems.

- Conduct regular audits of access control systems and processes.

- Collaborate with business partners in HR, Contingent Talent, Workplace, People Tech, and IAM to ensure seamless integration of PIAM solutions within Netflix’s global ecosystem.

- Shape and support the PIAM technology roadmap in alignment with departmental and organizational goals.

- Design, implement, and maintain robust processes for collecting and centralizing access logs and physical security data, enabling advanced analysis and visualization of physical security metrics.

- Review and ensure compliance with data privacy, access control, and physical security requirements.

- Develop and track metrics to measure the effectiveness and impact of PIAM solutions.

- Advise teams across the company on PIAM solutions, design, and deployment.

- Communicate program updates and technical information clearly to all stakeholders.

- Develop technical documentation, training materials, and best practice guides for cross-functional teams.

**Qualifications**

- 10+ years of experience with increasing scope, responsibility, and complexity at a multinational company.

- Proven experience leading global, cross-functional PIAM or physical security initiatives and collaborating with diverse stakeholders.

- Strong project management skills, with experience in setting and achieving objectives through OKRs or similar frameworks.

- Deep understanding of physical access control systems, identity management, and emerging physical security technologies.

- Up-to-date knowledge of global physical security trends, regulations, and compliance requirements.

- Creative problem-solver with a passion for innovation and continuous improvement.

- Experience in the entertainment, technology, or critical infrastructure sectors is highly desirable.

- Comfortable working in a fast-paced, dynamic environment.

- Willingness to run lean with a DIY mentality, take educated risks, and think out of the box.

- Travel regionally and internationally as required (approximately 25%).

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000.00 - $285,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Manager, Physical Identity Access Management (PIAM)

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Content Production & Studio (CPS) Product team is responsible for driving the strategy, prioritization, and execution of Netflix’s technology investments focused on creating and managing the production of content. We work with diverse and globally-distributed groups of business users, productions, and vendors. Our team’s primary superpower is the ability to work creatively and collaboratively in highly technical environments. As a member of this team, you will lead the integration of Netflix’s flagship generative AI capabilities into a unified, intuitive artist studio experience.

**The Role**

We are seeking a Product Manager with deep expertise at the intersection of generative AI and creative tooling. You will define the product vision and end-to-end workflows for an AI-powered Creative Suite, leveraging state-of-the-art generative image and video capabilities into a unified surface that amplifies human creativity. Leading a team focused on innovation, you will collaborate closely with AI research and engineering, filmmakers, user researchers, and cross-functional partners to design creator-centric features that compound creative possibilities. As creative tools undergo a transformational leap, you will set new standards for AI-assisted production and editorial workflows, user experience, and technology, while keeping the artist at the center.

This role requires a unique combination of strong product management expertise, a firm grasp of generative image and video capabilities, and a deep understanding of the creative tool ecosystem. You will address the complex needs of creatives (including directors, editors, colorists, and VFX artists), using cutting-edge technologies to shape the future of cinematic storytelling.

This is an onsite role based in Los Angeles. Regular monthly travel to Los Gatos is expected to support in-person collaboration.

**What You Will Do**

- Lead the creation of an AI-powered Creative Suite, consolidating multimodal AI capabilities to provide a state-of-the-art artist experience.

- Partner closely with UX/UI design, AI R&D, engineering, user research teams, and creatives to deliver scalable products with production-ready features that artists love.

- Own the end-to-end product strategy for an AI-assisted experience, from production to post, spanning image and video generation, modification, and timeline-based editing. Ensure creators can transition smoothly from generative exploration to precise, deterministic control.

- Define and secure interoperability with Netflix platforms and various DCC tools to fit and scale to real-world studio pipelines.

- Build seamless collaboration features for creative teams, supporting shared projects, versioning, review, and complex production workflows.

- Lead the product roadmap by identifying high-impact opportunities, prioritizing features, defining success metrics, and supporting end-to-end delivery.

- Drive rapid iteration through prototyping, experimentation, and close engagement with creators, designers, and researchers, maintaining an "AI-builder" mindset.

- Partner with peer PMs, Studio Ops, Production Services, and Content leaders to align on requirements, milestones, and slate needs, while driving adoption.

**What We’re Looking For**

- 5+ years of Product Management experience, with a proven track record of building video creation, editing, or production tools for creators or professional teams.

- Deep domain expertise in AI video generation and modification workflows, and filmmaking techniques using AI-assisted production and post-production techniques.

- Proven experience delivering products that support both individual creators and enterprise-scale collaborative workflows.

- Strong product judgment and a builder’s mindset to transform explorationary product features into cohesive, professional-grade products.

- Excellent communication skills, with the ability to align research, design, and creative practitioners around a unified vision.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $440,000.00 - $725,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Product Manager - Netflix Artist Experience

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**About The Team**

Ads Data Engineering team sits at the core of building a data ecosystem that will power Netflix’ understanding and decision making about what impact ads have on our business. This team’s main focus is to build rich, connected, and easily accessible data products about ad inventories, forecasting, targeting, ad serving, pacing and much more. We are looking for passionale, mature, and curious software engineers with strong data intuition, analytical mindset and ad ecosystem experience, to contribute to the team’s impact in a quickly evolving.

We are hiring for several different roles, ranging from senior to staff level for this team.

**Who are you?**

- Beyond talented, you are curious, creative, and tenacious.

- Sharp communicator who can break down and explain complex data problems in clear and concise language.

- You have an extensive background and strong technical expertise working with data at scale, experience with advertising data (preferred) and understand how to build for privacy, and business impact

- You have a high tolerance for ambiguity and fast-changing context

- Hands-on experience building batch or streaming production data pipelines, ideally using one or more distributed processing frameworks such as Spark, Flink or Hive/Hadoop

- Knowledge in data modeling and establishing data architecture across multiple systems

- Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.

- Create code that is understandable, simple, and clean, and take pride in its beauty.

- Love freedom and hate being micromanaged. Given context, you're capable of self-direction.

- Passionate about data quality and delivering effective data to impact the business.

**What will you do?**

- Architect, strengthen, and expand the core data products that scale our Ads business. You’ll get on a team of talented data engineers and envision how all the data elements from multiple sources should fit together as a whole, and then execute on that plan.

- Fully own critical portions of Netflix' Ads data products. Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely delivery of high quality data.

- Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitively

- Develop best practices for governance of data sets with sensitive information

- Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners

**What (ideally) do you know?**

- Domains related to advertising, data privacy, GDPR

- Data warehousing, data modeling, and data transformation for both batch and streaming

- Hands on command programming languages such as python, scala or java as well data exploration using sql

- Expert at building performant data pipelines and optimizing existing workflows for new features

- Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc.

- Experience with sourcing and modeling data from application APIs

- Team based software development tools and best practices

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Data Engineer (L5) - Ads

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**The Role**

The Pipeline Developer, Creative Technology will report to the Senior Manager, Creative Technology and support the team working at the frontier of machine learning in filmmaking, where models and workflows are built in-house and evolve rapidly. This role is responsible for the team's production pipeline as it continues to take shape — bridging Nuke, ShotGrid (Flow Production Tracking), custom color workflows, and the inference paths that connect production work to the team's machine learning systems. It's a high-leverage position on a small, fast-moving team imagining what an AI-native production pipeline can be.

**Responsibilities**

- Maintain, extend, and evolve the team's production pipeline end to end — Nuke, ShotGrid (Flow PT), color, asset and shot management, and the connective tissue between them

- Design and implement the integration layer between production tools and the team's ML inference workflows, partnering closely with the team's Machine Learning Engineers to make model-driven steps feel native to the pipeline

- Own the team's color-managed workflow — ACES configuration, EXR sequence handling, and ensuring consistent color across DCCs, review tools, and ML pipelines

- Build and maintain Python tooling that spans Nuke, ShotGrid, and adjacent systems, with a Linux backbone supporting users across Linux, Windows, and Adobe applications including Photoshop and After Effects

- Prototype rapidly — turn ideas into working tools in days rather than weeks, then iterate with the team based on real use

- Manage tool launchers, environment management (e.g., Rez), and DCC integrations so artists and engineers have reliable, reproducible setups

- Refine out-of-pipeline submission paths into ShotGrid for ad hoc work, research outputs, and prototype workflows that don't yet live in the main pipeline

- Partner with Production, research, and engineering to identify pipeline friction and design solutions that scale across projects

- Document tools, conventions, and architectural decisions clearly so the team can adopt, extend, and trust the pipeline as it grows

**Qualifications**

- 6+ years of pipeline development experience in VFX, animation, or adjacent industries, with hands-on work on shipped productions

- Expert Python skills, with a track record of building production pipeline tooling that real teams rely on day to day

- Deep experience with Nuke pipeline integration — gizmos, callbacks, custom nodes, and Python tooling inside and around Nuke

- Hands-on experience integrating with ShotGrid (Flow), including the API, event daemon, webhooks, and custom workflow development

- Strong working knowledge of color-managed workflows, ACES, and EXR sequence handling across DCCs and review tools

- Experience supporting users on a Linux backbone alongside Windows and Adobe applications

- Demonstrated experience working cross-functionally across technical and creative stakeholders

**Skills**

- Strong systems thinking — able to design pipeline architecture that holds up under fast iteration without becoming brittle

- Bias toward rapid prototyping and shipping — comfortable building something rough, putting it in front of users, and refining from there

- Fluency with agentic coding workflows (Claude Code, Codex, and similar) and a track record of using them to ship more, faster

- Opinionated and self-directed — brings a clear point of view on what a modern pipeline should look like, while staying open to evolving it as the team learns

- Excellent written and verbal communication, including the ability to translate between research, engineering, and production audiences

- Collaborative and technically curious; finds satisfaction in well-built tools and takes pride in making other people's work easier and faster

- Familiarity with environment and package management systems such as Rez

- Familiarity with data warehouses and their integration with ShotGrid (Flow) is a plus

- Comfort operating in an R&D environment where tools and workflows are still being built out — able to work effectively around rough edges, contribute to making things better, and adapt as the pipeline evolves

- Comfort with ambiguity and a fast-moving environment

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $165,000.00 - $265,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Pipeline Developer, Creative Technology - InterPositive

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.

**Our Team**

The Ad Server Platform team sits within the Ad Serving & Decisioning org at Netflix Ads. We build and maintain the robust, scalable, and efficient ad serving infrastructure that forms the backbone of Netflix’s advertising ecosystem. Our mission is to ensure seamless and reliable delivery of ads across all platforms, devices, and viewing contexts.

Our work spans the core services and frameworks that the broader Ads Platform depends on: supply-agnostic controls, policies, frequency caps, applying floor prices, ad podding rules, competitive separation, rule-based targeting, event processing, and the logging frameworks. We are looking for a performance-minded systems engineer to ensure our ad serving infrastructure operates at peak efficiency under demanding latency and throughput requirements, serving teams across the ads ecosystem.

**What You'll Do**

- Profile and optimize the ad serving runtime for latency, throughput, and resource efficiency across the full request lifecycle: targeting evaluation, policy enforcement, ad selection, and response serialization

- Identify and eliminate performance bottlenecks across services: CPU hotspots, GC pressure, memory allocation patterns, thread contention, and network overhead

- Design and run load tests, squeeze tests, and capacity models to validate system behavior under peak and burst traffic (including Live events at NFL scale)

- Establish performance baselines and regression detection: automated benchmarking in CI/CD to catch regressions before they reach production

- Instrument comprehensive latency telemetry, tracing, and profiling across the ad request lifecycle to enable data-driven optimization

- Optimize the rule engine framework and frequency management service for minimal overhead per request as policy complexity grows

- Work closely with the programmatic team on bid request/response performance: QPS management, connection pooling, timeout tuning, and load shedding under pressure

- Drive platform reliability through an efficiency lens: capacity planning, autoscaling tuning, graceful degradation, and cost-per-request optimization

- Own performance SLOs and budgets: define latency budgets per component, track them, and hold teams accountable when budgets are exceeded

- Partner with infrastructure and platform teams to adopt runtime improvements, evaluate hardware configurations, and tune GC strategies

**Skills & Experience We're Seeking**

- 7+ years building and optimizing distributed systems and backend services at scale

- Deep experience with performance engineering: profiling (async-profiler, JFR, flamegraphs), JVM internals (GC tuning, JIT compilation, memory models), and systematic bottleneck analysis

- Strong understanding of latency engineering: cache hierarchies, connection pooling, async I/O, thread pool sizing, and tail latency reduction

- Experience designing and running load tests, squeeze tests, and capacity models for high-throughput, latency-sensitive systems

- Built or operated ad servers, SSPs, DSPs, or real-time bidding infrastructure

- Proficiency in Java, Kotlin, or similar JVM languages with deep understanding of runtime behavior beyond just writing correct code

- Experience with event-driven architectures: Kafka, Flink, or similar stream processing, with a focus on throughput optimization and consumer lag management

- Understanding of ad serving concepts: targeting, frequency capping, publisher controls, programmatic protocols

- Ability to operate in an environment that is a mix of big-tech scale and startup speed

**Nice to Haves**

- Experience with CTV constraints: server-side ad insertion, live event ad serving at scale (NFL-sized audiences)

- Built or improved logging and telemetry frameworks for high-throughput request pipelines with minimal performance overhead

- Multi-region deployment experience: active-active architectures, failover, and regional performance variance analysis

- Chaos engineering or SRE practices: error budgets, game days, fault injection, squeeze testing

- Experience with hardware-aware optimization

- Built automated performance regression detection in CI/CD pipelines

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Performance Systems Engineer 5 - Ad Server Platform

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.

**Our Team**

The Decisioning & Optimization engineering team sits within the Ad Serving & Decisioning org at Netflix Ads. We own the systems that power real-time ad decisioning, delivering relevant, high-quality ads while balancing revenue goals, advertiser outcomes, and member experience. Our work spans ML model serving infrastructure, ranking and scoring, auction mechanics, budget and pacing systems, and goal-based delivery optimization along with podding, traffic shaping models, and more.

We are looking for a strong systems engineer to build and scale the core infrastructure behind ads optimization at Netflix. You will work across the stack from model serving to auction execution to pacing, shipping production systems that directly impact revenue and advertiser outcomes.

**What You'll Do**

- Build and evolve the real-time ad decisioning path: ranking, scoring, bidding, and pacing under strict latency and throughput constraints

- Develop and operate ML model serving infrastructure supporting dozens of concurrent hot-path models with sub-20ms P99 inference, including model routing, lifecycle management, fallback tiers, and calibration serving

- Partner with Science and Platform teams to productionize models and deploy algorithms into the serving stack

- Build simulation and testing frameworks to enable offline validation of marketplace changes before live rollout

- Implement and improve real-time pacing systems that drive budget delivery accuracy across campaign lifetimes

- Contribute to goal-based delivery optimization: dynamic allocation of budget and inventory across demand channels

- Build reusable components and clean interfaces that improve developer velocity across the team

- Participate in operational excellence: reliability, observability, deployment automation, and incident response across the optimization stack

**Skills & Experience We're Seeking**

- 7+ years building distributed systems and backend services at scale

- Ads domain experience (2+ years): worked on ad serving, delivery, or marketplace systems

- Experience with ML model serving infrastructure: real-time inference, model deployment pipelines, feature hydration, fallback strategies

- Built or worked on core ad tech systems: ad servers, bidders, pacers, or ranking and scoring components

- Built APIs and backend services that integrate across a multi-team platform

- Understanding of ad serving concepts: inventory management, frequency capping, member ad experience quality, and supply-demand dynamics

- Comfortable working at the intersection of engineering and data science, productionizing ML models into low-latency serving paths

- Ability to operate in an environment that is a mix of big-tech scale and startup speed

**Nice to Haves**

- Experience with auction mechanics: first-price, second-price, reserve pricing, bid shading

- Experience building multi-stage ranking systems (retrieval, scoring, reranking), podding and ad break planning

- Built or improved budget pacing and delivery control systems

- Familiar with CTV constraints: server-side ad insertion, live event ad serving at scale

- Experience with experimentation infrastructure: A/B testing, holdout groups, marketplace experiments

- Built simulation or counterfactual testing platforms for marketplace or auction systems

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $619,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Distributed Systems Engineer 5 - Decisioning & Optimization

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Partner Test Tech team is responsible for ensuring a high-quality Netflix experience on smart TVs and set-top devices. We achieve this by building and maintaining device automation and infrastructure. We measure our effectiveness by leveraging real-time metrics and alerts to gain insight.

**Who You Are**

- You are a quality-minded Software Engineer and drive testing strategies

- You have experience working with consumer electronic devices

- You have strong coding skills in JavaScript / TypeScript or Python and experience with automation frameworks

- You are AI-native and use it to drive improvements and efficiency

- You have empathy for the developer experience and seek out areas to improve developer productivity

- You have implemented CI/CD systems and operated production services

- You lead large-scale projects and work seamlessly with cross-functional teams

- You have a growth mindset - you don’t need to know everything, but are eager to learn anything

**What You Will Do**

- Identify and implement solutions to improve the efficiency and effectiveness of testing software releases

- Improve the developer experience and change-velocity in JavaScript repositories.

- Drive the shape of the testing pyramid along with efficient coding patterns in test automation

- Drive diversity and stability across a fleet of in-house CE devices using data-driven approaches to ensure the efficient use of devices

- Gather and analyze metrics in collaboration with internal teams to identify trends and opportunities to improve the testing effort at a lower cost

**What Sets You Apart**

- You have experience with web technologies, from network protocols to AWS services

- You have created novel solutions to complex problems, while leveraging existing tools

- You have driven projects that impact cross-functional teams leading to improved outcomes

- You have led AI initiatives to change the approach for developing and validating software

- You have experience with graphics and video streaming technologies

**Why Netflix**

- Our culture is something we strive to constantly improve and practice daily.

- You’ll work with other stunning engineers and continue your career growth while pushing the boundaries of what is possible with home entertainment today

- You can use and influence standards for automating streaming devices using world-class infrastructure and labs

We seek to grow inclusive and diverse teams that will enhance our perspectives, skill sets, and behaviors. We highly encourage you to apply if your background will complement us, even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Software Engineer 5 - Partner Test Tech

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.

**Our Team**

The Core Ads Algorithms team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers—all while maintaining the exceptional quality and personalization that define the Netflix experience.

**Responsibilities**

- Design and implement machine learning–driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS,.

- Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts.

- Develop online and offline evaluation frameworks to rigorously measure the impact of bidding algorithms and policy changes.

- Inform and influence auction and pricing mechanism design, ensuring alignment between bidding algorithms, marketplace efficiency, and business goals.

- Partner closely with the product team to define bidding objectives, constraints, and trade-offs that align with product and revenue goals.

- Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven bidding solutions.

**Qualifications**

- Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or related quantitative field.

- Proficiency in Python, Scala or Java.

- Deep knowledge of machine learning, optimization, and data analysis techniques.

- Experience with prototyping and deploying algorithms using large-scale production data.

- Strong business acumen and ability to translate technical results into business impact.

- Experience in building bidding algorithms.

- Excellent communication and collaboration skills.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Machine Learning Scientist 5 - Ads Bidding

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**Who We Are**

Our team implements the Netflix Player that delivers Netflix content to our users on iPhones, iPads, and Apple TV — but we do not build the UI. We're responsible for everything required to deliver a seamless streaming experience once a member presses play. This includes building an HTTP Live Streaming (HLS) playlist, fetching a FairPlay license to decrypt DRM protected content, seamlessly inserting Ads, streaming Live events, supporting multiple Audio and Subtitle tracks, securely transmitting data, and much more.

Our work includes driving measurable improvements to our members' streaming experience as well as building out new features to support innovative product experiences. As part of our day-to-day work, we collaborate with UI engineering and product teams, Apple, content and studio engineering, and data experts to deliver video playback to every part of the Netflix experience on Apple devices.

**Who You Are**

- Highly experienced ensuring the quality of consumer-facing iOS/iPadOS/tvOS applications at scale with Swift and Objective-C, and deeply curious about Audio and Video and how streaming at Netflix works. Experience with HLS, Media Playback, or AVPlayer is a bonus.

- A champion for automation and testing, with the software engineering chops to build the tools, frameworks, and infrastructure that make automation possible — not just consume them.

- Experienced applying AI tooling in a testing context — you've built and used AI-assisted workflows to generate tests, triage failures, analyze flakiness, or close coverage gaps, and you bring that experience to bear on quality problems rather than waiting for tools to be handed to you.

- Comfortable drawing the line between what should be automated and what should remain manual, and able to defend that line with data and judgment rather than dogma.

- Open and proactive communicator who shares context, ideas, and feedback while engaging in active listening — drives collaboration across platform and team boundaries, whether with our UI and TVUI counterparts, fellow Player engineers on Android and TV, product managers, or data science partners.

- Passionate about testing at every layer of the stack — not just XCUI end-to-end automation, but component, integration, and unit testing as well. You use your experience and judgment to find the right testing solution wherever it lives and influence other engineers on the team to adopt the right approach. Proven experience influencing team quality culture and driving test strategy decisions.

- Systems thinker who can reason through the interactions of complex systems and services and understand technical tradeoffs, especially in a domain where playback issues are often emergent and hard to reproduce.

- Scientific thinker who can define hypotheses and use data to reason about test results — we run a high volume of automation across a diverse set of devices.

- Passionate about bringing a world-class experience to millions of people watching our content on varied devices, in different languages, with diverse network connectivity, from locations across the globe.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $266,000.00 - $442,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Software Engineer in Test 5 - Apple Player

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**Manager, Motion Design, Brand Creative Studio**

**THE ROLE**

We are seeking a Manager, Motion Design to join the Brand Creative Studio. This role is a hands-on motion designer responsible for developing and executing motion systems across a wide range of brand and marketing initiatives, including the Netflix Brand, Netflix House, Product Marketing, and Corporate Communications.

This role sits across both Core Design and Production Design, bridging high-level creative development and large-scale execution. The focus is on translating brand strategy, creative direction, and design systems into scalable motion outputs across channels, formats, and markets.

You will play a critical role in defining how motion design operates within Brand Creative Studio, contributing to both concept development and high-volume execution. You will partner closely with cross-functional teams and external agencies to ensure motion work is delivered with clarity, craft, and consistency.

A strong portfolio demonstrating excellence in motion design across campaigns, systems thinking, and multi-format execution is required.

**THE TEAM**

The Netflix Brand Creative Studio (BCS) is our in-house team of Strategists, Creatives, Designers, Producers, and Program Managers. We are the creative collective behind Netflix’s most high-profile brand initiatives, developing work that builds passionate fandoms and shapes how the world connects with our brand. Our mission is to strengthen the Netflix brand and drive business value by creating culturally relevant marketing that is as entertaining as our shows, films, games, and experiences. Our studio serves as a centralized partner for a wide range of business-critical areas—spanning Global Brand and Brand Partnerships, Ads, Consumer Products, and live experiences like Netflix House.

As Netflix continues to expand into new business units, formats, and physical experiences, the volume and complexity of design output across the company continues to grow. To support this scale, BCS is evolving its operating model to include a dedicated production design team focused on speed, systems, and consistency, without compromising craft.

**Responsibilities**

**Motion Design & Creative Development**

- Contribute to the development of motion concepts and creative direction across campaigns, helping define how motion enhances storytelling and brand expression

- Partner with designers and creative leads to integrate motion into early-stage concept development

- Ensure motion solutions are aligned with brand strategy and creative intent across all touchpoints

**Scalable Motion Systems & Production**

- Translate creative direction and brand systems into scalable motion frameworks, templates, and toolkits

- Develop motion systems that can be applied across formats including social, digital, video, DOOH, and experiential environments

- Support high-volume production needs, including lower-funnel assets such as banners, cutdowns, and performance-driven creative

**Cross-Functional Creative Support**

- Serve as a motion design partner to teams across Brand, Netflix House, Product Marketing, Ads, and Corporate Communications

- Ensure motion work is fit-for-purpose across different audiences, channels, and business needs

**Agency & Partner Management**

- Collaborate with and provide direction to external motion vendors and agency partners

- Ensure external work aligns with Netflix brand standards, motion systems, and production frameworks

- Support decisions on when work should be executed internally versus externally

**Quality, Craft & Workflow Development**

- Maintain a high bar for motion design quality across all outputs

- Help define workflows, file structures, and best practices for motion production at scale

- Identify opportunities to improve efficiency through templates, systems, and tooling

- Stay current on motion design trends, tools, and emerging technologies

**Qualifications**

- 10+ years of experience in motion design within a creative agency, design studio, or scaled in-house brand team

- An exceptional portfolio demonstrating motion design across brand, campaign, and digital work

- Strong foundation in design, with the ability to contribute to broader visual systems beyond motion

- Experience working across a wide range of formats, including social, digital, video, OOH, and experiential

- Proven experience building motion templates, toolkits, or systems that support high-volume production

- Experience managing and directing external vendors and agency partners

- Proficiency in After Effects, Premiere, Cinema 4D, Figma, and Adobe Creative Suite; familiarity with scalable production workflows

- Strong collaboration skills with experience working across cross-functional teams

- Ability to move fluidly between concept development and hands-on execution

- Strong communication, organizational, and problem-solving skills

- Comfortable navigating ambiguity and evolving workflows in a fast-paced environment

- A hands-on designer who can contribute directly to the work while helping shape how motion is executed at scale

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $198,000.00 - $310,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Manager, Motion Design - Brand Creative Studio

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The core Advertising team is charged with building a new, best-in-class ads organization to establish Netflix as the premier platform for advertiser partners and to drive advertising revenue.

**In This Role, You Will Support Across**

- Responsible for driving execution of regional Sales Ops strategies, processes, & programs in partnership with sales leadership for the US and Canada (UCAN) sales region for Netflix Ads

- Build and iterate on sales go-to-market strategies including customer and product segmentation, headcount planning and sales org design, sales territory design

- Have previous experience in owning regional sales operations processes in revenue forecasting, pipeline management, quota planning, monthly business reviews

- Capable of analyzing sales performance and deriving insights from large data sets across revenue, pipeline, product, sales process

- Define, build & maintain the sales inputs, forecasting, and pipeline management of a global advertising business.

- Work with cross-functional partners in Market Activation, Finance, HR, Product, Data Science to deliver Ads-wide projects and represent Sales requirements and considerations

- Facilitate, guide, enable the rollout of new sales programs and processes with sales teams aimed at driving better sales efficiency

- Highly capable of managing sales data (account, account teams, territories, reports) in Salesforce or comparable CRM system

- Work closely with sales and other cross-functional teams to provide quantitative and qualitative analysis of program performance, ensuring program and business impact.

- Support the exploration of new strategic opportunities to inform the business roadmap.

- Build detailed dashboards and monthly, quarterly review decks for senior (VP+ level) consumption to run the business. Lead discussions on business performance & state of business with expertise and full ownership

- Bring thought leadership to continuously evolve KPIs & metrics to inform on the state of the business

**About You**

- 5+ years of experience in advertising/ advertising-related fields; and/or experience working in Sales Operations.

- Owned sales stakeholder relationships with Country or Sales Line of Business Directors (2nd line sales leader)

- Familiarity with the digital advertising landscape and agency and client-direct advertising sales models is a plus.

- Advanced spreadsheet and analytics skills mandatory, SQL and data infrastructure skills are a nice to have, passion for automation and scale is a plus

- Bias for action with the ability to drive and influence decision making even if you don’t own reporting lines

- Strong collaborator who embraces differing perspectives and experiences to make better decisions.

- Experience and capability to solution sales processes and workflows in ambiguous environments and matrixed stakeholders

- Data driven operator, guide and influence with objectivity and facts (vs. subjectivity)

- Demonstrated track record of creativity, innovation, and implementing better approaches.

- Proven ability to prioritize and lead multiple projects efficiently.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000.00 - $265,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Sr. Sales Operations Associate (UCAN)

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**The Role**

At the end of 2022, we launched a new ad-supported tier to offer our members more choice in how they consume their content. Our ad-supported plan allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply immersed and invested in Netflix content.

To help us deliver this compelling experience, we’re looking for a highly ambitious, visionary, and experienced Senior Product Designer who will help shape Netflix’s ads consumer experiences for our users. This includes crafting innovative ad formats tailored to our wide variety of content and experiences, innovating within our existing ad canvases, and creating the future of advertising on Netflix.

You will also partner closely with other product designers working across our various member experience teams to deliver a delightful, engaging, and highly relevant Ads experience for our Netflix members.

This will be a remote-friendly role, with the freedom to set a flexible work-from-home schedule. This role would be best for candidates located in California or in the Pacific time zone, as semi-regular travel will be required to collaborate with stakeholders and partners in Los Angeles, Los Gatos, and New York. That said, we can always make exceptions in location for the right candidate.

**About Our Team**

Our team designs the ads consumer experiences for Netflix. These experiences span our entire product and empower our advertisers and sponsors to reach our members while maintaining the highest bar for the overall member experience. We also design the foundational features that make the Ads plan distinct from our other plans, helping our members maintain control and transparency of their advertising experience.

Our primary superpower is the ability to design creatively and collaboratively in highly complex, AI-accelerated environments, balancing the needs of our members and our advertisers through rigorous testing, empathy, and expertise. We leverage a diverse set of design and creative skills, and we're increasingly using AI as a core part of how we work, prototype, and innovate.

You'll be one of the lead designers who crafts these experiences and shapes the future of advertising across our product. More specifically, you'll be a critical part of one of the most talented and forward-thinking advertising design teams in the world, at the forefront of AI-native product design.

**Why You’ll Love Our Team**

- We’re big on individual responsibility and smart on process.

- Work with stunning, supportive designers on problems that matter.

- Top of market compensation and benefits, flexible time off, and work-life-balance.

- Flexibility to balance work-from-home and in-office work, so long as you're able to be onsite for meaningful moments of collaboration.

- Freedom and flexibility to craft your own AI-augmented design workflow, while harnessing Netflix's world-class design system and tooling.

- Meaningful financial support for further education and professional growth, including AI and emerging technology learning.

- An inclusive environment to help you do your best work and feel genuinely supported.

**What You Will Do**

- Lead the design and execution of Netflix's ads consumer experiences across a variety of surfaces, using AI tools to accelerate exploration, prototyping, and iteration.

- Build and contribute to GenAI-powered pipelines that scale creative fulfillment and personalization across all ad formats, partnering with engineering and data science to move from one-off executions to intelligent, repeatable systems that serve members and advertisers at Netflix scale.

- Identify, research, and drive the future of our ads experiences strategy, leveraging AI-powered insights and experimentation to inform decisions.

- Design and enable an industry-leading advertising privacy and regulatory experience for Netflix members.

- Establish principles that ensure a best-in-class advertising experience across multiple content types, with a forward-looking perspective on how AI is reshaping the ads landscape.

- Craft design briefs that provide business, design, and engineering clarity for critical initiatives.

- Collaborate with engineers, product managers, content designers, data scientists, and business teams to develop and innovate on the future of ads, using AI as a core part of the design toolkit.

- Prototype and validate new AI-driven ad experiences, including personalized formats, intelligent ad placement, and adaptive creative.

**What We’re Looking For**

- 8+ years as a Product Designer (or equivalent experience) in the consumer product space, leading high-impact initiatives from concept to execution.

- A rich portfolio that showcases proven experience at the intersection of advertising, TV, and/or streaming, with case studies that demonstrate expertise and leadership at this intersection.

- Demonstrated fluency with AI-native design practices, including the use of generative AI tools, AI-assisted prototyping, and data-informed design workflows.

- Experience working on privacy and regulatory experiences.

- A passionate energy for great design and a genuine curiosity about how AI is evolving the craft.

- Strong understanding of advertising best practices and industry trends for ads on TV and web, including emerging AI-driven ad formats and personalization.

- Work that highlights the balance between empathy for users and understanding advertiser needs.

- Deep understanding of advertising across all media types and knowledge of best practices on digital products.

- Experience constructing high-fidelity prototypes of consumer experiences that leverage video, motion, and increasingly, AI-generated content.

- Excellent communication skills that excite stakeholders and articulate a vision.

- Highly organized with meticulous attention to detail, including writing documentation to support your design decisions.

- Experience in video production and editing tools.

- Experience in web advertising and/or marketing design.

- Experience in live TV broadcasting and/or TV advertising.

- Experience working directly with advertisers to deliver their vision.

**Even Better**

- Experience designing and delivering digital ad formats, including AI-personalized or dynamic ad units.

- Experience in the creation and fulfillment of digital and/or video advertising campaigns.

- Familiarity with how machine learning and AI systems influence ad targeting, delivery, and measurement, and how that shapes the design of consumer-facing experiences.

- Mastery of Adobe Creative Suite, video motion graphics, and video editing tools (such as After Effects and Final Cut Pro).

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $350,000.00 - $520,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Senior Product Designer, GenAI Ad Formats

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

A culture of experimentation enables Netflix to continuously evolve and improve our products, delivering more joy to existing members and attracting new members from around the globe. Because experimentation is so pervasive at Netflix, we continually enable new capabilities and onboard new initiatives to the platform with close cross-functional collaboration with our Software Engineering, Data Engineering, and Data Science partners.

At the nerve center of experimentation at Netflix is our internal, Netflix-wide, Experimentation Platform which accelerates innovation by enabling teams to rapidly learn from and act on their ideas. We are looking to add a data engineer to the team to improve the speed, reliability, and structure of our data pipelines that process billions of new events per day. These data pipelines are the foundation on which all experiment analysis at Netflix is built.

**Responsibilities**

- Work closely with data science and software engineering teammates to act as a strategic thought partner, solve emerging data needs, and ensure that our platform continues to deliver trustworthy and useful analysis results

- Work closely with data engineering and data science partners to set and improve the standards for experiment analysis across Netflix, e.g. via better data contracts and data health

- Design, build, operate, and maintain Spark data pipelines that process billions of allocation events per day and expose a silver layer in Iceberg

- Develop new tooling and pipeline automation to meet emerging experimentation-related business needs

**Qualifications**

- Strong proficiency with technologies like Spark or Flink, comfort working with large scale datasets

- Strong proficiency in data modeling, processing, automated testing, health, observability, and debugging

- Fluency in at least one SQL dialect and proficiency in at least one programming language (e.g. Java, Scala, Python)

- Excellent communication and collaboration skills

- Ability to navigate ambiguous problem statements and solve for cohesive platform data solutions

**Curious to learn more about our experimentation culture at Netflix? Read up on ****experimentation culture at Netflix ****and ** **browse the ****Netflix Research page ****.**

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Data Engineer 5, Experimentation Platform

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

With the launch of our ad-supported model in 12 major markets, we are now working toward providing more choices for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for founding team members who will be instrumental in shaping this new business area for Netflix!

We are seeking a Client Partner experienced in selling advertising solutions to Fortune 500 enterprise clients and agency partners to grow and scale Netflix US revenue. With your deep understanding of the digital video and programmatic landscape, you will act as a strategic partner to your assigned clients and sell Netflix's full range of advertising solutions to help achieve their marketing goals.

As a Client Partner, you will focus on client direct sales needs, agency partnerships and work in lockstep with your cross-functional partners. The ideal candidate is creative and entrepreneurial, deeply passionate about long term account development, and proficient in high-level strategic thinking. This role requires travel and representation at industry events.

**Key Responsibilities**

- Generate interest & excitement of Netflix’s offerings with client CMOs, Marketing teams, Brand Managers, and Media Directors to influence ad spending decisions.

- Specific focus on client's programmatic strategy and investments including audience planning, data strategy, analytics and measurement, and creative.

- You will accelerate clients' education and usage of Netflix's scaled media solutions to advance their long term growth and business priorities

- Apply deep industry knowledge to anticipate client needs, expand key relationships, and demonstrate the power of Netflix Ads

- Partner with agency teams, and cross-functional partners to grow revenue across the business

- Work with Partner Marketing, Business Development, Policy, Legal, Brand Partnerships and Live Experiences teams to ensure that client’s needs are being met

- Build data-informed, comprehensive business plans that will generate top-line revenue growth & communicate go-to-market strategies with internal stakeholders

- Stay current on industry trends and innovation to maintain competitive edge and inform client strategies

- Work with sales leadership to establish/set strategic objectives and goals that maximize business impact.

- Maintain close communication and alignment with clients and sales counterparts to maximize client strategies and maintain trust and collaboration.

- Support brand partnership opportunities with efforts outside of ‘traditional’ media solutions (eg, Brand Partnership, Consumer Product Partnerships, Live Events, etc).

**Qualifications**

- 5+ years of experience in digital advertising sales, with 3+ years focused on Fortune 500 enterprise clients and complex multi-agency holding company relationships

- Demonstrated mastery in building and executing multi-year strategic partnerships with C-suite executives at global enterprise organizations

- Deep programmatic expertise with proven success architecting annual agreements, joint business plans, and transformational growth strategies

- Track record of shaping enterprise-level agendas and driving alignment across complex, multinational organizational structures

- Exceptional strategic thinker who operates ahead of industry curves, translating trends into innovative advantages and commercial outcomes

- Advanced technical fluency across data & technology ecosystems, audience strategy, programmatic platforms, measurement science, and privacy-forward solutions

- Proven ability to communicate complex concepts with simplicity and authority to C-suite audiences

- Consultative problem solver who aligns multiple stakeholders around shared goals and drives collaboration toward measurable outcomes

- Outstanding executive presence with the ability to command credibility in the highest-stakes conversations

- Excellent written, verbal, and interpersonal communication skills with a demonstrated ability to elevate storytelling standards

- Strong, confident presentation skills that inspire confidence and drive action

- This role requires travel and representation at industry events.

The overall market range for roles in this area of Netflix is typically $230,000.00 - $325,000.00. A portion of this compensation is variable.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Client Partner (OMG)

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving the end-to-end user experience with Netflix across their member journey.

We pride ourselves on using data to inform our decision-making as we work towards our mission. This requires curating data across various domains such as Growth, Finance, Product, Content, and Studio. All of this data collection and curation is made possible thanks to the amazing Data Engineers of Netflix who bring this data to life.

Data Engineering at Netflix is a role that requires building systems to process data efficiently and modeling the data to power analytics. These solutions can range from batch data pipelines that bring to life business metrics to real-time processing services that integrate with our core product features. In addition, we require our Data Engineers to have a rich understanding of large distributed systems on which our data solutions rely. Candidates should have knowledge across several of these skill sets and usually need to be deep in at least one. As a Data Engineer, you also need to have strong communication skills since you will need to collaborate with business, engineering, and data science teams to enable a culture of learning. Learn more about the work of data engineers at Netflix.

Location of work: We are considering candidates who are willing to relocate to Los Gatos, California, as well as fully-remote candidates (remote in the US with occasional visits to Los Gatos) depending on the team your skills are most aligned with.

**Who are you?**

- You strive to write elegant code, and you're comfortable with picking up new technologies independently

- You are proficient in at least one major programming language (e.g. Java, Scala, Python) and comfortable working with SQL

- You enjoy helping teams push the boundaries of analytical insights, creating new product features using data, and powering machine-learning models

- You have a strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling

- You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets

- You have an eye for detail, good data intuition, and a passion for data quality

- You appreciate the importance of great documentation and data debugging skills

- You relate to and embody many of the aspects of the Netflix Culture. You love working independently while also collaborating and giving/receiving candid feedback

- You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Data Engineer (L5)

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

**Summary**

The Principal Product Manager, Payment Platform, leads the evolution and scaling of Netflix’s global payments infrastructure. This pivotal role ensures our platform remains robust, flexible, and ready to support high transaction volumes, new business models, and rapid market growth. You will set the vision and strategy for the platform, drive technical and operational excellence, and partner across the organization to enable seamless, secure, and innovative payment experiences for all Netflix members and business lines.

This role is central to supporting Netflix’s global growth, enabling new business models, and delivering seamless, secure payments at scale. By owning the payments platform, this leader ensures Netflix can rapidly innovate, enter new markets, and maintain industry-leading payment performance.

Location: This role can be based in our Los Gatos or Los Angeles offices, with a hybrid model. This role can also be remote-based on the West Coast. Travel will be required to our Los Gatos and/or Los Angeles offices.

**Responsibilities**

- Set the strategic direction for the payments platform, ensuring it is scalable, reliable, and adaptable to new business models and global growth.

- Oversee the design, implementation, and continuous optimization of core payment platform components, including infrastructure, integrations, and developer-facing APIs.

- Lead efforts to improve platform scalability, performance, and reliability, proactively identifying and addressing bottlenecks.

- Manage and optimize integrations with payment providers, processors, and ecosystem partners to maximize payment success and revenue protection.

- Drive the adoption and integration of machine learning to enhance payment performance and help to develop the underlying platform leveraged for fraud detection and personalized payment flows.

- Collaborate with internal business lines to deliver flexible, reusable payments capabilities that accelerate innovation.

- Partner with cross-functional teams (engineering, finance, legal, product, data science) to ensure platform solutions meet compliance, security, and business requirements.

- Build strong relationships with external partners to stay ahead of industry trends, regulatory changes, and emerging technologies.

- Partner with other product teams as needed to ensure payment platform solutions seamlessly support new business initiatives and cross-domain experiences.

**Domain Qualifications**

- 8+ years of experience in product management, platform engineering, and/or technical program management within payments.

- Deep understanding of global payment systems, payment processing infrastructure, and third-party integrations.

- Proven track record of scaling and optimizing large-scale, high-availability platforms.

- Experience with API-first product development and developer platform strategy.

- Familiarity with machine learning applications in payments (e.g., routing optimization, fraud detection).

- Strong understanding of regulatory, compliance, and security requirements for global payments.

- Experience leading cross-functional teams and collaborating with engineering, operations, finance, legal, and external partners.

- Ability to translate complex technical challenges into scalable, business-oriented solutions.

**Other Skills And Competencies**

- Excellent communication, stakeholder management, and influencing skills.

- Strong analytical and problem-solving abilities; comfortable with data-driven decision-making.

- Outstanding organizational and project management skills, able to manage multiple priorities in a fast-paced environment.

- Strategic thinker with a bias for action and continuous improvement.

- High level of ownership, accountability, and attention to detail.

- Ability to mentor and develop talent, fostering a culture of collaboration and innovation.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $660,000.00 - $1,000,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Principal Product Manager, Payment Platform

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