Meta's mission is to build the future of human connection and the technology that makes it possible. 

Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

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For a full listing of our jobs, visit https://www.metacareers.com

Industry: Software Development
Company Size: 10,001+ employees

Savvy Admin PROD

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Data Scientist, Product Analytics Responsibilities:

- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches

- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses

- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends

- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent

- 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)

- 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

Preferred Qualifications:

- Master's or Ph.D. Degree in a quantitative field

- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$147,000/year to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.

Data Scientist, Product Analytics

Quantum computing will be a world-changing technology with the potential to unlock powerful advances in medicine, energy, finance and beyond. At PsiQuantum, we’re focused on building the world’s first useful quantum computer.

A useful quantum computer requires at least 1,000,000 qubits and error correction. We believe photonics is the only path to building a useful quantum computer.

Our team at PsiQuantum is a mix of quantum physicists, semiconductor, systems, and software engineers, system architects and more. Error correction is at the centre of everything we do; and we focus on solving real-world problems.

If you’re interested in joining our team, we are always open to hearing from exceptional people interested in working on one of the defining technologies of our lifetime.

Industry: Computer Hardware Manufacturing
Company Size: 201-500 employees

PsiQuantum

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems.

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries.

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure.

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale.

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact.

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real.

Come join us.

**Job Summary**

As part of the Systems Hardware Team, the Sr. Optical System Process Engineer plays a vital role in constructing high-performance electromechanical and fiber-optic subsystem modules, including EDFA modules, high-speed optical timing, and polarization control, contributing directly to innovative optical solutions.

**Responsibilities**

- Ownership of the construction of prototype and early-stage production optical fiber subsystems and modules, including electrical/electronic and mechanical assemblies.

- Work closely with product design engineers to develop and provide guidance on Design for Manufacturing (DFM), Assembly (DFA), and Test (DFT), ensuring their expertise is valued in shaping reliable products.

- Along with design engineering, drive tooling development, assembly flows, and version-controlled documentation, including the composition and authoring of clear, detailed work instructions for both assembly and test.

- Management of bill of materials (BOM), documentation, and continuous product improvement (CPI). Collection, tracing, and analysis of build data, including design and component troubleshooting.

- Work closely with supply chain and vendors, as well as design engineering and technicians, to improve current and future generations of products.

- Work with cross-functional teams to execute debug tests for software and hardware control systems. Experience/Qualifications:

- B.S. in Physics, Optical or Electrical Engineering preferred, with 8+ years of industry experience.

- Expertise in working with fibers, lasers, and amplifiers, fiber optic components, advanced splice equipment and optimization, fiber handling and routing, and equipment maintenance.

- Experience validating and testing fiber optic components and systems, transferring design and development into robust and scalable products.

- Experience working with optical test equipment, including polarization analysis, insertion/return loss, optical backscatter reflectometers (OBR), and optical spectrum analyzer (OSA).

- Process development and documentation of electrical cable assembly, testing, routing, and harnessing. Experienced in the optimization of layout, tooling, and workflows, maintaining standards and compliance throughout the NPI phase.

- Troubleshooting, testing, and repairing of electrical and electronic systems. Investigation of manufacturing failures, identification and root cause analysis, implementation of corrective actions. Experience with OSHA, NEC, UL, and other regulatory standards.

- Python scripting, calling Controls SW APIs / drivers to control lab equipment and proprietary systems.

- Experience with industrial vacuum and cryogenic systems is desirable

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

**Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to ****recruiting@psiquantum.com ****.**

We are not accepting unsolicited resumes from employment agencies.

The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.

U.S. Base Pay Range

$160,000—$180,000 USD

Bay Area Pay Range

$170,000—$187,000 USD

The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.

Bay Area Only Pay Range

$183,000—$200,000 USD

Sr. Optical Systems Process Engineer

Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development.

Headquartered in Palo Alto, California, Arc is a non-profit organization founded on the belief that many important research programs will be enabled by new academic models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.

As individuals, Arc researchers collaborate across diverse disciplines to study complex diseases, including cancer, neurodegeneration, and immune dysfunction. As an organization, Arc strives to enable long-term research agendas by betting on people rather than projects, and making it easier to invent and deploy new technologies at scale.

Together, our mission is to accelerate scientific progress, understand the root causes of disease, and narrow the gap between discoveries and impact on patients.

Industry: Biotechnology
Company Size: 51-200 employees

Arc Institute

**About Arc Institute **

Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.

Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.

Our two Institute Initiatives reflect this model in action:

- **Virtual Cell Initiative ****: ** Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets,  accelerating the path from biological insight to clinical trials.

- **Alzheimer's Disease Initiative ****: ** Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.

More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.

**About the position **

We are seeking a Research Associate I to join the Konermann Laboratory at the Arc Institute. In this position, you will provide essential laboratory support while gaining comprehensive training in lab operations, management, and scientific best practices. You will work closely with our lab manager to support daily operations, maintain high standards of safety and organization, and assist with ongoing research activities. This position is ideal for someone seeking hands-on experience in laboratory operations while contributing to cutting-edge scientific research.

**About you **

- You are naturally proactive with a strong work ethic. You don't wait to be told what needs to be done—you anticipate needs, take initiative, and take pride in maintaining organized, efficient lab spaces. You understand that excellent research depends on meticulous attention to detail and consistent execution.

- You have a natural affinity for process improvement and optimization. You're constantly thinking about how things can be done better, faster, or more efficiently. You enjoy analyzing workflows, identifying bottlenecks, and implementing solutions that benefit the entire team.

- You are collaborative and reliable. You thrive in team environments, take initiative to support others, and can be counted on to follow through on commitments while maintaining excellent communication about priorities and challenges.

- You are motivated by growth and continuous learning. You see this role as an opportunity to develop both technical and operational skills, and you're committed to contributing to lab efficiency and excellence.

**In this position you will **

- Support lab stock management including reagent and supply inventory, ordering and receiving, and preparation of common solutions, with increasing independence as you develop familiarity with lab operations

- Help maintain lab organization and implement process improvements to enhance efficiency and safety

- Perform mammalian and stem cell culture, including cell maintenance, passaging, transfection, virus preparation, differentiation protocols, and co-culture systems, beginning with close guidance and progressing to autonomous execution

- Contribute to molecular biology and genomics workflows, including plasmid construction, PCR, qPCR, gel electrophoresis, DNA/RNA isolation, and sequencing preparation

- Write and update standard operating procedures for lab protocols and processes as you gain expertise

**Requirements **

- Bachelor's degree or equivalent experience in Biology, Molecular Biology, Biochemistry or related field

- 1-2 years of laboratory experience (academic or industry setting)

- Familiarity with standard molecular biology techniques (such as cloning, PCR, qPCR, gel electrophoresis, and DNA/RNA isolation) and mammalian cell culture; hands-on experience preferred but not required.

- Proficiency with basic computer skills, including data entry, spreadsheets, and document preparation.

- Effective organizational, communication, and collaborative skills

The hourly rate for this position is $29.00. This amount does not include benefits or other forms of compensation.

Research Associate I, Konermann Lab

Our mission is to automate every chore, errand, and task in your life.

We are building a proactive assistant that turns conversations into structured to-dos, provides valuable context and suggestions as things evolve, and performs lightweight research to complete tasks end-to-end.

The focus is on common but wide-ranging use cases to bring AI benefits to billions of general users globally.

Our name originates from “Application One,” reflecting our focus on what we believe is the first and most important AI application for all consumers.

Industry: Software Development
Company Size: 51-200 employees

**About the Role **We are looking for an Administrative Business Partner to support leaders and teams with scheduling, coordination, and operational execution.

This role is focused on precision, organisation, and reliability. You will manage calendars, coordinate meetings, and handle logistics that enable leaders to stay focused on high-impact work.

You will work closely with Executive Business Partners and operate as part of a broader executive operations team.

**What You'll be Doing **

- Manage complex calendars for one or more leaders, balancing priorities and resolving conflicts

- Coordinate internal and external meetings across teams and time zones

- Arrange travel logistics, including itineraries and scheduling

- Process and track expenses accurately and on time

- Support team meetings, offsites, and internal events

- Ensure smooth coordination between internal teams and external stakeholders

- Maintain clear communication and follow-through on scheduling and logistics

**What You Will Need **

- Experience in administrative support, coordination, or operations roles

- Strong organisational skills and attention to detail

- Ability to manage multiple priorities with accuracy and consistency

- Clear communication and professional interaction with stakeholders

- High reliability and strong follow-through

- Comfortable working in fast-paced, changing environments

**How We Work **The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product

**Interview process **If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Administrative Business Partner

Industry: Computers and Electronics Manufacturing
Company Size: 11-50 employees

Superlinear Computing

Superlinear Computing · Palo Alto, CA · Full-time

Superlinear Computing is a quantum research and infrastructure company headquartered in Palo Alto. We design, deploy, and operate on-premises superconducting QPU systems, apply machine learning to characterize quantum system behavior, and translate those findings into specialized hardware products.

We work at the frontier of quantum hardware and real-world applications, giving researchers, enterprises, and government partners access to quantum capabilities that were previously out of reach. We believe the transition to quantum computing will be defined not just by the machines themselves, but by the infrastructure built around them.

**The Role **

This is the physics role at Superlinear Computing. You will own the physical understanding of every system we operate or build, including superconducting QPUs today, and of entropy sources spanning optical and semiconductor hardware, as our roadmap develops. You work alongside our electronics engineers, setting the physical parameters and theoretical foundations for their implementations. The role is senior, independent, and self-directed. The scope grows with the company.

- Own QPU performance across all systems: calibration, characterization, benchmarking, and diagnosis

- Investigate hardware at the physics level, coherence dynamics, noise sources, gate error mechanisms

- Design and validate entropy sources across hardware modalities: optical, semiconductor, and superconducting

- Define physical figures of merit and characterization targets for ML-driven analysis of quantum output streams

- Collaborate with electronics and software engineers on calibration automation and system integration

- Surface and pursue research directions that emerge from operating real hardware across all system types

**Required **

- PhD in experimental physics or quantum engineering

- Hands-on superconducting qubit characterization: spectroscopy, Rabi, Ramsey, T₁/T₂, randomized benchmarking, two-qubit gate tune-up

- Working knowledge of microwave measurement: IQ mixing, heterodyne readout, pulse shaping

**Preferred **

- Dilution refrigerator experience at the operator level

- Rigetti hardware, pyQuil, or equivalent gate-level SDK familiarity

- Exposure to automated calibration frameworks (QuantrolOx, QUAlibrate, Q-CTRL, or similar)

- Depth in TLS physics, flux noise, readout optimization, or crosstalk characterization

**What We Offer **

- Direct access to on-premises superconducting QPU hardware at the Illinois Quantum and Microelectronics Park, the kind of access most researchers only find at national labs

- Small, rigorous team, your technical judgment shapes outcomes directly

- Competitive salary, equity, and full benefits

- Travel to IQMP as needed for system operation and characterization

This is a senior individual contributor role with real strategic weight. The Principal Physicist is the translation layer between what Superlinear Computing envisions and where the boundaries of the physical world are still being drawn.

Principal Physicist

Skylo Technologies is a global Non-Terrestrial Network service provider based in Mountain View, CA, offering a service that allows smartphones and IoT cellular devices to connect directly over existing satellites. Devices connected over satellite are managed and served by Skylo's commercial NTN vRAN, featuring a 3GPP standards-based cloud-native base station and core. Skylo works with existing satellite operators, network operators, and device makers to provide subscribers an anywhere, anytime connectivity solution between terrestrial and satellite networks. Skylo's focus is on enabling connected services for people outdoors and connected workflows for machines at work across critical industries such as agriculture, maritime, logistics, mining, and others, in addition to mass-market consumer devices. 

We’re a global, fast-growing team, with offices in California, India and Finland.  For more information, visit www.skylo.tech.

Industry: Telecommunications
Company Size: 51-200 employees

Skylo

**About Skylo **

Skylo is helping redefine how the world stays connected. At Skylo, our mission is to extend reliable connectivity to people, vehicles, and devices wherever they operate, even in the most remote and hard-to-reach places.

Skylo is a global connectivity company serving customers and partners worldwide. We enable satellite-based connectivity for everyday devices, helping smartphones, vehicles, and machines stay connected beyond traditional cellular coverage. Today, Skylo’s services are live on millions of devices across five continents, supporting use cases across consumer devices, automotive, and industrial sectors.

This role is located in Mountain View, spending at least 3 days per week in the office.

**Summary Of How You Will Impact Skylo **

We’re looking for a Technical Recruiter in Mountain View to own the full 360 cycle for our highest-impact engineering teams. You won’t just be filling roles; you’ll act as a true strategic partner to our leadership, navigating complex stakeholder environments to build the teams defining the future of Skylo.

**What the role will look like **

- Solve the critical challenge of scaling a world-class engineering team across software, hardware, and satellite domains to support a live global network.

- Drive the full 360-degree recruitment lifecycle to ensure Skylo meets aggressive growth targets and KPIs across Engineering, Space, Cloud and more

- Partner deeply with internal stakeholders to translate complex technical roadmaps into intentional hiring strategies and role definitions.

- Navigate a fast-paced environment to identify and close elite talent.

- Improve how the organization makes hiring decisions by providing data-driven insights and maintaining a high bar for candidate quality.

**What We Look For **

- Experience managing the full 360-degree recruitment lifecycle within high-growth technical environments.

- Proven ability to partner with engineering managers to define role requirements and build intentional interview loops.

- History of delivering high-quality hires while meeting tight KPIs related to pipeline velocity and offer acceptance rates.

- Ability to navigate a fast-paced environment by proactively managing competing priorities and shifting technical roadmaps.

- Commitment to a premium candidate journey that reflects Skylo’s brand through transparent communication and timely feedback.

- Skill in identifying niche technical talent across software, hardware, and satellite communications domains.

- Capability to act as a talent advisor to internal stakeholders by providing market insights and data-driven recruiting updates.

- Experience closing complex offers by effectively communicating the value of Skylo’s mission and equity program.

- Proficiency within AI tooling and ATS (Ashby, Metaview and Claude)

**Why Join Skylo? **We’re not just building connectivity -  we’re creating the foundation for a more connected world, where communication works wherever life and work take place. The challenges we solve are complex, real-world, and high-impact, and our work is already making a difference at global scale.

At Skylo, your work won’t stay on a whiteboard. You’ll contribute to live services used around the world, collaborate with talented teams across functions, and grow your skills while tackling problems that truly matter. If you’re excited by meaningful challenges, continuous learning, and building something that extends far beyond borders, Skylo is the place to do it.

**Additional information **

The compensation range for this position is: **$120,000 - $135,000 plus equity. ** This range reflects the low and high end of the range Skylo reasonably and generally expects to pay the hired candidate in this role.

**EEO Statement ** Skylo is an equal-opportunity employer and we celebrate diversity. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, parent or caregiver status, political affiliation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service consistent with applicable federal, state, and local laws. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please let us know if you need assistance or accommodation due to a disability.

Technical Recruiter

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 45 countries, Addepar’s platform aggregates portfolio, market and client data for over $6 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Dublin, Edinburgh and Pune.

Industry: Software Development
Company Size: 501-1,000 employees

Addepar

**Who We Are**

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.

**The Role**

We are currently seeking a highly experienced Backend Software Engineer with a strong Java background to join our Order Management System (OMS) team in Trading!

We’re building a scalable, tax-efficient trading & rebalancing platform for wealth management firms of all sizes. The platform will target sophisticated rebalancing strategies across equities, mutual funds and fixed income products and send trades to be completed in the market.

We’re looking for an experienced, detail-oriented Engineering Leader who will build an inclusive team culture, empower engineers to succeed and foster an environment that creates high quality engineering processes and product delivery. You are passionate about technology and can amplify your technical knowledge via your team. You’ll work closely with our product and design teams to deliver great products for our clients.

Our engineering team primarily works in Java, Python and React, but we don’t require experience with any specific tool set. We use Agile methodologies to deliver impactful business outcomes.

This role requires someone to work Eastern working hours.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $150,000 - $234,000 + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

**What You’ll Do**

- Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code.

- Lead individual project priorities, deadlines, and solutions.

- Collaborate effectively with product managers, engineers, and partners on projects.

- Active support of business needs during US hours.Act as an engineering representative to the client and product support and steer communications from engineering standpoints.

- Communicate technical ideas and set direction on projects with a focus on solving business challenges.

- Mentor other engineers on the team.

- Participate in the design and development of a strategic product for Addepar.

- Write clean, efficient, and maintainable code that's also scalable and extensible

**Who You Are**

- B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience).

- 8+ years of software engineering experience.

- Expert-level proficiency in backend development, with a focus on Java.

- Good experience on AWS or any other cloud platform.

- Experience with databases, SQL, NoSQL, OLAP, and/or data lake architectures

- A strong ownership mentality and drive to solve the most important problems.

- Passion for implementing standard processes with a bias toward smart automation.

- Proven ability to collaborate with and mentor other engineers.

- Experience in data processing and analysis using SQL, PySpark, or similar frameworks is a plus.

- A rapid learner with robust analytical and problem-solving abilities.

**Our Values**

- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.

- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.

- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.

- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.

- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.

Staff Software Engineer-Trading

ThoughtSpot is the AI-native Intelligence Platform for every enterprise. Our mission is to create a more fact-driven world by empowering everyone to explore any data, ask any question, and uncover actionable insights faster—leading to growth, better business outcomes, and efficiency in their organizations: www.thoughtspot.com


With ThoughtSpot’s intuitive natural language search, every user can confidently generate answers from their business data at every point of decisioning. The platform’s unified capabilities, along with our agentic AI analyst, Spotter, enable users to create precise, transparent, personalized, and actionable insights with enterprise grade trust, security, and scale. Accessible via the web and mobile app, ThoughtSpot ensures intelligent decision-making happens seamlessly, wherever and whenever needed. 

For developers, ThoughtSpot Embedded offers a low-code solution to integrate AI-powered analytics directly into products and services, driving data monetization and boosting user engagement for customers. 

Industry leaders like NVIDIA, Hilton Worldwide, Capital One and Huel rely on ThoughtSpot to transform how their employees and customers take advantage of data to create better business outcomes. 

Try ThoughtSpot today and experience the new era of analytics: https://www.thoughtspot.com/trial

Industry: Software Development
Company Size: 501-1,000 employees

ThoughtSpot

**The Role**

ThoughtSpot is on a mission to make the world more fact-driven — and AI is at the center of how we get there. As an Associate Product Manager, you will help shape the next generation of ThoughtSpot's AI-powered analytics products, including the experiences built on ThoughtSpot CodeX, our developer platform for embedding intelligence directly into applications and workflows. You will work alongside senior PMs, engineers, and designers to define and deliver product experiences that make data exploration feel natural, intuitive, and powerful for every user — regardless of technical depth. This is an ideal role for a curious, data-savvy builder who is ready to grow quickly in a fast-paced, high-impact environment.

**What You'll Do**

- Partner with senior Product Managers to define and execute the roadmap for AI-powered and Generative AI features across ThoughtSpot's core platform and CodeX developer experiences

- Develop a working understanding of AI/ML capabilities — including natural language querying, agentic workflows, and augmented insights — to contribute meaningfully to product decisions

- Write clear, detailed product requirements, user stories, and acceptance criteria that enable engineering and design teams to build with confidence

- Synthesize customer research, field feedback, and usage data to surface actionable insights that inform feature prioritization

- Collaborate cross-functionally with Engineering, Design, Data Science, and GTM teams to drive features from discovery through launch

- Support go-to-market efforts by contributing to product collateral, internal enablement materials, demo narratives, and release communications

- Track and report on key product metrics post-launch, identifying trends and flagging opportunities for iteration

- Engage directly with customers and customer success teams to deepen understanding of real-world use cases and pain points

- Assist in competitive analysis and market research to help ThoughtSpot maintain its edge in the AI analytics space

**What You Bring**

- 0–2 years of experience in product management, product operations, business analysis, or a closely related field — internship and co-op experience welcome

- Genuine curiosity about AI, Generative AI, and how large language models are reshaping analytics, search, and developer tooling

- Strong analytical mindset — you are comfortable with data, enjoy digging into metrics, and default to evidence-based thinking

- Excellent written and verbal communication skills; able to distill complexity into clear, concise narratives for both technical and non-technical audiences

- Demonstrated ability to work collaboratively in ambiguous, fast-moving environments — you don't wait to be told what to do

- Basic familiarity with enterprise SaaS products or cloud-based analytics platforms is a plus

- Exposure to or interest in developer platforms, APIs, or embedded analytics (relevant to ThoughtSpot CodeX) is a plus

- High attention to detail and strong organizational skills — you follow through and close the loop

- A genuine passion for building products that help people make smarter decisions with data

**Mandatory And Required Skills For All ThoughtSpot Roles**

Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:

- Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.

- Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.

- Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.

- Write effective prompts to get the most accurate and creative results from AI tools.

Spotters are expected to exemplify these key traits and AI Mindset:

- Curiosity in exploring new AI tools

- Adaptability to quickly learn and implement new, emerging AI technologies

- Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.

**AI Mindset for All Spotters**

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

**Hybrid Work at ThoughtSpot**

This office-assigned role is available as a hybrid position, reporting to the office in US - Mountain View.

Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

**ThoughtSpot for All**

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.

**What Makes ThoughtSpot a Great Place to Work?**

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.

**About ThoughtSpot**

The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.

Associate Product Manager

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.

We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.

Industry: Software Development
Company Size: 10,001+ employees

Intuit

**Overview**

Intuit’s Global Total Rewards team enables Intuit’s workforce to effectively engage with a diverse portfolio of compensation and benefit programs designed to support their overall wellbeing. To deliver on this mission, we're seeking a creative and experienced communications professional to help manage, design, and implement high-impact Total Rewards communications to drive measurable engagement and outcomes across our diverse employee base.

In this role you will partner with the Total Rewards team to bring health, welfare, wellbeing, and compensation initiatives to life in new and engaging ways for our employees. This is an exciting opportunity to help grow and evolve how Intuit communicates about its best-in class global Total Rewards programs and related initiatives.

You're a talented communicator and storyteller with the ability to create compelling narratives that foster and reinforce an emotional connection. You’re a proven collaborator and excel at working with and earning trust across a wide, matrixed, and multi-stakeholder group. You have experience driving initiatives, digging into the details, and finding solutions in an often ambiguous environment. You advocate for the employee experience and work backwards to ensure Intuit’s Total Rewards programs shine and meet the needs of our employees.

**Responsibilities**

Responsibilities:

- Develop and Execute Strategic Communications and Campaigns:

- Define Total Rewards communication plans and compelling narratives that resonate with a global audience and drive engagement.

- Draw connections across compensation and benefits to tell a cohesive Total Rewards message.

- Manage the communications roadmap and calendar, drive key deliverables, and ensure Total Rewards messaging is inclusive, relevant, and aligned with business goals.

- Lead communication planning and campaign development for major initiatives, such as annual benefits enrollment, new program/vendor implementations, benefit changes, and compensation award cycles.

- Partnership and Planning:

- Partner effectively across the Total Rewards team, Corporate Communications and other stakeholders to ensure communications are in sync with other messages being delivered to employees.

- Align on objectives, themes, channels, messaging, and success measures with partners and leaders.

- Engage in active listening and reconcile divergent perspectives.

- Navigate a multi-stakeholder, matrixed, and ambiguous environment.

- Effectively manage external consultants to augment our team.

- Content and Digital Management:

- Develop and manage consistent Total Rewards program content across multiple platforms and formats that touch the employee life cycle, such as onboarding materials, policies, and intranet content.

- Evolve our digital footprint and experience through AI and done-for-you experiences that best support employees.

- Operational Consistency and Measurement:

- Support the communications leader in defining and tracking performance/success metrics, providing recurring program updates, and delivering recommendations and ad-hoc reporting to leadership.

- Develop processes and mechanisms to ensure consistency across all Total Rewards communications, including vendor-led communications.

- Creatively use AI to achieve efficiencies.

**Qualifications**

- 8 or more years of professional experience in internal communications. Total Rewards (compensation and benefits) communication experience preferred.

- Key relevant experience:

- Complexity: Leading impactful, multi-touch, cross-functional, and transformational communication projects within a large, complex organization.

- Channels: Developing creative, effective approaches to reaching a diverse, remote, and mobile workforce.

- Global audience: Working globally and managing communications across multiple countries.

- Clarity and simplicity: Demonstrated ability to communicate clearly and effectively, and minimize complexity and technical jargon from employee communications.

- Required skills:

- Project management: Strong organizational skills and proven program management covering multiple projects and diverse goals.

- Strong writer: Writes with laser-sharp clarity and attention to detail. Able to revise complex content into a more user friendly style that enables broad employee understanding.

- Technical: Expertise with CMS platforms and leveraging AI tools to scale content creation and personalization.

- Bachelor's degree or equivalent experience

- Periodic business travel may be required.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Mountain View, CA $163,500-$221,500

San Diego, CA $153,500-$207,500

Staff Communications Manager, Global Total Rewards

23andMe, headquartered in Sunnyvale, CA, is a leading consumer genetics and research company. Founded in 2006, the company’s mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world’s largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate. The 23andMe research platform has generated more than 180 publications on the genetic underpinnings of a wide range of diseases, conditions, and traits. The platform also powers the 23andMe Therapeutics group, currently pursuing drug discovery programs rooted in human genetics across a spectrum of disease areas, including oncology, respiratory, and cardiovascular diseases, in addition to other therapeutic areas. 23andMe was named as one of the San Francisco Chronicle's Top Workplaces and one of Comparably's Best Places to Work in 2022. CEO, Anne Wojcicki was also named one of Glassdoor’s top CEOs in 2019 and one of Comparably’s "Best CEOs for Women" in 2021 and 2022. More information is available at www.23andMe.com.

Industry: Biotechnology Research
Company Size: 501-1,000 employees

23andMe

We are looking for a Manager, PR & Executive Communications to join our team. This is a high-leverage role at a defining moment. Executive voice and credibility are critical to advancing the Institute’s scientific mission and rebuilding durable public trust in genetics research. You will help shape how 23andMe shows up in the world, and influence how the next chapter of genetics is understood.

**Who We Are**

We are a group of individuals passionate about genetic discovery. 23andMe Research Institute is a nonprofit medical research organization that enables people everywhere to access their genetic information, learn about themselves, and participate in the world's largest crowdsourced research initiative. The Institute aims to be the world's most significant contributor to scientific advancement, uniting people with the common goal of improving health and deepening our understanding of DNA — the code of life.

**What You’ll Do**

This role will serve as a strategic partner supporting the Research Institute PR across product, education and research, including executive and CEO PR. This role will support and drive pitching external engagements, speaking events, media, thought leadership pieces, and high-priority communications initiatives. You will also support the Head of Communications in building scalable processes and strengthening executive visibility during a resource-constrained, high-impact phase for the organization.

This role is equal parts strategist, operator, and doer. You will manage a high volume of inbound PR, shape executive messaging, coordinate tightly with the CEO’s Chief of Staff, and ensure impact in every external moment.

**Executive Communications & Thought Leadership**

- Develop strategic and executional briefing materials for the CEO and Executive speaking engagements, panels, media appearances, investor conversations (where relevant), and nonprofit events.

- Ensure messaging reflects the Research Institute’s nonprofit mission, scientific rigor, and commitment to trust and transparency.

- Partner with research leadership to translate complex science into accessible, compelling narratives.

- Maintain a forward-looking executive visibility calendar aligned with organizational priorities.

- Evaluate opportunities against strategic priorities; provide clear recommendations.

- Coordinate directly with the CEO’s Chief of Staff to manage scheduling, prep time, and priorities.

- Develop comprehensive event briefs (audience analysis, key messages, Q&A prep, logistics, stakeholder mapping).

- Help build and maintain scalable systems for executive communications (request tracking, prioritization frameworks, message libraries).

**Support Alignment Across Nonprofit And Corporate Narratives When Needed**

- Triage and respond to daily inbound media inquiries

- Develop and maintain strong relationships with relevant press

- Build and manage strategic media distribution lists for public-facing announcements and materials distribution

- Conduct proactive media outreach for new product launches and other company announcements

- Develop relevant and well-written support documentation, such as media interview preparation documents, media pitches, and messaging for product launches or company announcements

- Track and analyze media coverage, including weekly and monthly reporting

- Work seamlessly with our digital experience and social media teams to coordinate public announcements and special projects

- Tracking and compiling relevant industry news to share company-wide

- Liaise with the 23andMe Research team to stay informed and up to date on interesting peer-reviewed research; communicate research to science reporters and other relevant media

- Work cross-functionally across a number of teams to ensure we’re effectively communicating important and relevant company information to the public

**What You’ll Bring**

- 5–8+ years in communications, executive communications, public affairs, or related field.

- Experience directly supporting a C-level executive or founder.

- Exceptional writing skills—clear, persuasive, and adaptable across scientific, nonprofit, and public audiences.

- Strong judgment and discretion; comfort handling sensitive topics.

- Ability to translate complex health, biotech, or scientific concepts into accessible messaging.

- Highly organized, calm under pressure, and capable of managing high request volume.

- Experience working in resource-constrained environments where you both design strategy and execute.

**Strongly Preferred**

- Background in healthcare, biotech, genomics, public health, or nonprofit research.

- Experience in trust recovery or reputation management environments.

- Familiarity with the broader 23andMe ecosystem and mission.

**About Us**

~~23andMe, headquartered in California, is a leading consumer genetics and research company. The company’s mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world’s largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate. 23andMe research participants consent to research conducted by 23andMe which is overseen by an independent third-party Institutional Review Board (IRB) regulated under the 'Common Rule' (45 CFR part 46). More information is available at ~~www.23andme.com/research~~.~~

~~At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at accommodations-ext@23andme.com. 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.~~

~~Please note: 23andMe does not accept agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you.~~

**Pay Transparency**

23andMe takes a market-based approach to pay, and amounts will vary depending on your geographic location. The salary range reflected here is for a candidate based in the San Francisco Bay Area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

San Francisco Bay Area Base Pay Range

$110,000—$160,000 USD

Manager, PR & Executive Communications

Our mission is to accelerate the world’s transition to sustainable energy. With global temperatures rising, the faster we free ourselves from fossil fuel reliance and achieve a zero-emission future, the better. 
 
In pursuit of this mission, we make electric vehicles that are not just great EVs, but the best cars, period. We also produce and install infinitely scalable clean energy generation and storage products that help our customers further decrease their environmental impact. When it comes to achieving our goals, we pride ourselves in accomplishing what others deem impossible.
 
We are opening new factories and increasing our output everyday – join us in building a sustainable future.

Industry: Motor Vehicle Manufacturing
Company Size: 10,001+ employees

Tesla

**What To Expect**

The Associate Program Experience Coordinator will support the Essential Services Programs & Experience team and internal stakeholders by managing projects, programs, special events, and communications that enhance and impact the employee experience. This role is accountable for the development, implementation, and ongoing maintenance of standard operating procedures (SOPs), while driving the continuous enhancement of employee-facing programs and experiences. The successful candidate will be a highly professional collaborator, strategic thinker, and effective communicator with strong organizational and administrative skills. This position requires close partnership with the Essential Services team and the ability to provide cross-functional support across the organization.

**What You'll Do**

- Drive company objectives by standardizing content, communications, and employee programming processes

- Research, draft, edit, and proofread professional communications, signage, templates, presentations, flyers, and digital alerts tailored to diverse audiences

- Partner with Essential Services Operations teams to assess site impact, develop timely communications, and coordinate operational adjustments

- Provide timely information and materials in response to leadership requests regarding communications and workplace activations while supporting operational programs (mail, janitorial, culinary, transportation, construction) through clear communication and regular program updates

- Plan and execute internal activations by developing action plans, event schedules, resource allocation, content capture, and budget management

- Establish and maintain metrics to track program volume, budgets, schedules, and performance while collaborating with Bay Area and North America sites to develop and implement consistent standards

- Deliver client service administration including status reporting, meeting coordination, project tracking, and coverage reports while providing administrative support for team alignment meetings, strategic planning initiatives, and new business development through research, audits, and proposal preparation

**What You'll Bring**

- Degree or equivalent experience, with additional 5+ years of experience in workplace services, corporate facilities, or event coordination

- Demonstrated ability to thrive in a fast-paced environment with frequently shifting priorities and demands

- Proven track record of strong organizational, copywriting, and communication skills when interacting with employees and senior leadership

- Advanced proficiency in Microsoft Office Suite

- Demonstrated ability to effectively prioritize, multi-task, and manage workload under pressure

- Flexibility to work nights, weekends, and travel to other Tesla locations as needed

- Graphic design, content creation, copywriting, or photo/video experience preferred

**Benefits**

**Compensation and Benefits**

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

-  Medical plans > plan options with $0 payroll deduction

-  Family-building, fertility, adoption and surrogacy benefits

-  Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

-  Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

-  Healthcare and Dependent Care Flexible Spending Accounts (FSA)

-  401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

-  Company paid Basic Life, AD&D

-  Short-term and long-term disability insurance (90 day waiting period)

-  Employee Assistance Program

-  Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

-  Back-up childcare and parenting support resources

-  Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

-  Weight Loss and Tobacco Cessation Programs

-  Tesla Babies program

-  Commuter benefits

-  Employee discounts and perks program

Expected Compensation

$76,000 - $114,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

, Tesla

Associate Program Experience Coordinator, Workplace

Stanford is a place of discovery, creativity and innovation located in the San Francisco Bay Area on the ancestral land of the Muwekma Ohlone Tribe. Dedicated to our founding mission—benefitting society through research and education—we are working toward a sustainable future, accelerating the impact of research with external partners, catalyzing discoveries about ourselves and our world, and educating students as global citizens. Our main campus, which welcomed its first class in 1891, is now home to 650+ student organizations, 36 varsity athletic teams, 20 libraries, 21 living Nobel laureates, 18 interdisciplinary research institutes, seven schools, and a vibrant arts scene. More than 9,000 graduate students and 7,000 undergraduates pursue studies at Stanford each year. Our financial aid program, one of the most generous in the nation, makes it possible for any admitted undergraduate to attend without taking on student debt.

Industry: Higher Education
Company Size: 10,001+ employees

Stanford University

**About Us**

The SCALE initiative of the Stanford Accelerator for Learning, housed at Stanford Graduate School of Education is seeking a Research Data Analyst to work on our research team. The SCALE initiative works to equalize and improve educational opportunities for students by supporting implementation of the most promising educational practices. SCALE’s two flagship projects include: (1) the National Student Support Accelerator (NSSA), a project begun in response to the pandemic and addressing the learning and emotional needs of students and (2) the AI Hub for Education, which aims to be trusted source for superintendents and state/federal K-12 leaders on what works for leveraging generative AI to benefit students, schools, and learning. Across these efforts, SCALE conducts research, provides strategic advising and engages with partners to increase students’ access to promising educational opportunities. This position will provide project and data management support for several fast-paced research projects for the SCALE Initiative, including NSSA and the AI Hub.

~~This position is a 1-year fixed term appointment based on Stanford University’s main campus. Consideration will be given to a hybrid work schedule (partially onsite and offsite work), subject to operational need. Interested candidates should include a resume and cover letter describing why they are interested in this position at this stage in their career.~~

**Position Summary**

The Research Data Analyst will be responsible for cleaning, analyzing, and organizing data from multiple SCALE research partnerships, working with the Director of Research and faculty lead in defining research objectives, and summarizing and developing findings from the data collection. The position requires independent work to meet competing deadlines as well as collaboration with the Research team. The Research Data Analyst must have a demonstrated ability to support a community of diverse perspectives and cultures in an inclusive environment.

CORE DUTIES

- Collect, manage and clean datasets.

- Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.

- Develop charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.

- Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.

- Write up reports for internal and external stakeholders.

- Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Serve as a resource for non-routine inquiries such as requests for statistics or surveys.

- Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.

- Provide documentation based on audit and reporting criteria to investigators and research staff.

- Communicate with research partners, educational leaders, and grant agencies.

- Collaborate with faculty and research staff on data collection and analysis methods.

- Participate in project planning and strategic thinking for overall growth and direction of research teams’ projects and activities.

**What You’ll Bring**

Education & Experience

- Bachelor's degree or a combination of education and relevant experience.

- Experience in a quantitative discipline such as economics, finance, statistics, psychology, or engineering.

**Knowledge, Skills, And Abilities**

-  Substantial experience with MS Office and analytical programs.

-  Strong writing and analytical skills.

- Ability to prioritize workload.

**Desired Qualifications**

- Master’s in education, public policy, economics, psychology, statistics, data science, or a related field strongly preferred

- Significant experience with STATA statistical software. Proficiency with other statistical software is beneficial but most of the work will be completed in STATA.

- Significant experience cleaning, analyzing, and summarizing administrative data from school districts or other educational settings.

- Have a detail orientation in quantitative work with demonstrated ability to set priorities,

project manage a large volume of work, and communicate findings for a wide variety of audiences, both oral and written.

The expected pay range for this position is $80,148 to $88,000 per annum.

Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

**Work Standards**

- Interpersonal Skills: Demonstrates the ability to work well with colleagues and clients and with external organizations.

- Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.

- Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu.

**Why Stanford Is For You**

Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:

-  Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.

- A caring culture. We provide superb retirement plans, generous time-off, and family care resources.

- A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.

- Discovery and fun. Stroll through historic sculptures, trails, and museums.

- Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more

**How To Apply**

~~We invite you to apply for this position through ~~ ~~Stanford’s Career Search ~~~~. Locate the job requisition ID and click on the “Apply for Job” button. To be considered, you must submit a cover letter and résumé along with your online application.~~

~~Finalist must successfully complete a background check prior to working at Stanford University.~~

~~Applicants to this position must be available to work in the United States without sponsorship for 2 years or more. OPT permit holders should confirm that they are eligible to work in the US at the Stanford GSE for two years or more.~~

~~We pride ourselves in being a ~~~~culture ~~~~that encourages and empowers you.~~

~~The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.~~

~~Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a ~~~~contact form.~~

~~Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. ~~

Research Data Analyst, SCALE Initiative

**Overview**

We are seeking a Data Scientist 2 to join the CRM analytics team for shaping the future of in-product discovery and engagement. You will define the experimentation roadmap, run rigorous experiments and employ advanced experimentation techniques to drive platform adoption and growth. In this role, you’ll collaborate with product, design, marketing and engineering teams to deliver data-driven solutions at scale. Your work will directly influence strategy, helping millions of users find more value in our platform.

**Responsibilities**

Partner with teams across all of Intuit (including product development, marketing, data engineering) to enable decision support and key customer insights

Develop compelling visualizations that crystallize business opportunities for business stakeholders and leaders to make timely decisions.

Design and run data driven tests and experiments that identify business opportunities and compare performance against company goals.

Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, sustainable, and meet expectations of various stakeholders

Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist.

Build relationships with other functions critical to the team's mission.

Deliver key metrics, dashboards and ad-hoc analyses with interpretation, contributing to the development of hypotheses and actions for run the business metrics.

Designs and implements technical and business documentation

**Qualifications**

4+ Years of Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch.

Experience in modern advanced analytical tools and programming languages such as Python

Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing)

Distributed computing systems and related technologies (e.g., Spark, Hive)

Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code

Bachelor's Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master's Degree preferred

Experience in developing data models, schema design, and working knowledge of cloud computing/services particularly in AWS

Experience in building multidimensional schemas for consolidating data from multiple sources (Redshift, Hive, SparkSQL, Athena)

Good working experience with data analytics and visualization tools (Tableau, QlikSense).

Knowledge of Computer science fundamentals: data structures, algorithms, and performance complexity

Familiarity with Data Science workflow and life cycle

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Data Scientist

Empowering the world to visualize ideas through pioneering research and design. Try Dream Machine for free → lumalabs.ai/dream-machine

Industry: Software Development
Company Size: 11-50 employees

Luma AI

**About Luma AI**

Luma’s mission is to build multimodal AGI. Through our research on video, 3D, and now multimodal models at Luma, we believe that AI needs to be jointly trained over all signal modalities – text, video, audio, images – analogous to the human brain.

To advance our mission, we build and operate the full stack end-to-end, spanning foundation models, inference systems, and products. This integrated approach powers technologies like Ray3, which is seeing rapidly growing adoption among Fortune 500 companies across media, entertainment, and advertising. Backed by a recent $900M Series C and our partnership with Humain to build a 2 GW compute supercluster (Project Halo), our models and the Dream Machine platform are now enabling creatives worldwide to tell some of the most impactful stories of our time.

**Where You Come In**

This is a rare opportunity to work at the absolute frontier of creative AI, building the next generation of interactive voice agents. You will join a foundational team responsible for developing the core models that allow humans to converse with AI in real-time with unprecedented realism and expressiveness. Your work will bridge the gap between deep research and magical, shipped products that millions of users will interact with.

**What You'll Do**

This opportunity involves both the “science” and “engineering” parts of research.

This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation.

- Modeling: Build next-generation voice agents that tightly integrate audio understanding (e.g., ASR, diarization, emotion recognition) and audio generation (e.g., TTS, voice conversion) for real-time, interactive use.

- Data: Design, implement, and run robust data pipelines and training curricula for speech and audio, including large-scale pretraining, fine-tuning, and data quality iteration.

- Systems: Train large-scale video and audio generative models on massive datasets and GPU clusters, and develop low-latency architectures and inference strategies for streaming, conversational, and on-device deployment.

- Evaluation: Define and build novel evaluation frameworks for voice agents, covering accuracy, robustness, latency, controllability, and human perceptual quality.

**Who You Are**

- A strong background in machine learning and generative modeling.

- Practical understanding of speech and audio modeling, including representation learning, sequence modeling, and conditioning/control mechanisms.

- Experience building and training models in PyTorch, including large-scale or latency-sensitive systems.

**What Sets You Apart (Bonus Points)**

- Experience with speech or audio understanding tasks (e.g., ASR, diarization, speaker/emotion recognition, audio classification).

- Experience with speech or audio generation (e.g., TTS, voice conversion, expressive or controllable speech).

- Familiarity with streaming or real-time inference, model compression, or deployment on consumer hardware.

- A portfolio of past projects, publications, or open-source contributions demonstrating your work in generative audio or speech AI.

~~Your application are reviewed by real people. ~~

Research Scientist / Engineer — Foundation Model (Voice Agents)

**About Luma AI**

Luma’s mission is to build multimodal AGI. Through our research on video, 3D, and now multimodal models at Luma, we believe that AI needs to be jointly trained over all signal modalities – text, video, audio, images – analogous to the human brain.

To advance our mission, we build and operate the full stack end-to-end, spanning foundation models, inference systems, and products. This integrated approach powers technologies like Ray3, which is seeing rapidly growing adoption among Fortune 500 companies across media, entertainment, and advertising. Backed by a recent $900M Series C and our partnership with Humain to build a 2 GW compute supercluster (Project Halo), our models and the Dream Machine platform are now enabling creatives worldwide to tell some of the most impactful stories of our time.

**Where You Come In**

This is a rare and foundational opportunity to define the future of multimodal AI. You will be at the forefront of building and training large-scale multimodal models, directly impacting how users interact with pixels. This role offers the chance to bridge cutting-edge research with magical, shipped products, working end-to-end on novel problems with no existing playbook.

**What You'll Do**

This opportunity involves both the “science” and “engineering” parts of research, two aspects that are of equal importance.

This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation.

- Modeling: Architect large-scale multimodal models with a focus on pixel data. Solving challenges in both understanding of and generation of pixels.

- Data: Hillclimbing existing tasks and formulating new tasks through data. Design, implement, and run robust data pipelines for constructing, enriching, and filtering massive pixel datasets.

- Systems: Train large-scale multimodal models on massive datasets and GPU clusters.

- Evaluation: Define and build novel evaluation frameworks to measure pixel intelligence, from understanding (recognition, grounding, spatial-temporal perception...) to generation (realism, consistency, controllability, and human-aligned creative quality).

**Who You Are**

- Strong foundation in machine learning and foundation models, with experience in image, video, or multimodal domains.

- Deep understanding of autoregressive, diffusion/flow-based, or hybrid/unified models.

- Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets).

**What Sets You Apart (Bonus Points)**

Experience in the following around data, modeling, ~~or ~~ evaluation:

- State-of-the-art foundation models in understanding pixels

- State-of-the-art foundation models in generating pixels

~~Your application are reviewed by real people. ~~

Research Scientist / Engineer — Foundation Model (Image / Video)

**About The Role**

This is a foundational opportunity to refine, personalize, and build the final capabilities and control interface of Luma’s foundation models and drive real-world value.

You’ll sit at the intersection of **research, product, and partnerships **, helping close the gap between ~~generalist capability ~~ and ~~production needs ~~. Your mission is to make our video foundation models more **expressive, controllable, and personalized **– solving the “last mile” challenges demanded by top-tier creative workflows.

**What You’ll Do**

You will work as a fullstack researcher across **modeling, data, systems, and evaluation ** to translate foundational capabilities into the personalized and high-fidelity tools required by top-tier creative production.

- Controllability and Features: You will use SFT, RL, distillation, and adapter-based methods to give Luma’s models precise control and creative capabilities for high-fidelity, partner-grade workflows.

- Personalization: You will use context management, PEFT, and preference learning to embed domain expertise and long-horizon memory into our models. You’ll ground our data engine in real-world workflows, translating usage into training and data insights that shape future models.

- End-User Quality: You will define and drive end-user quality – setting success metrics, building user-aligned evaluations, and iterating on the model/data/evals loop to meet strict fidelity and reliability targets in specific verticals.

- Cross-functional Collaboration: You will partner with Product and Design to turn creative intent and user feedback into clear specs and shippable model behaviors, delivering intuitive control and dependable capabilities for users and partners.

**Who You Are**

- Strong foundation in machine learning with deep experience in visual generative models (diffusion/transformers or related architectures). Ideal candidates also have a deep understanding of at least one: fine-tuning, personalization, domain adaptation, data curation, targeted distillation, interpretability, or human-feedback-driven refinement.

- You are a product-obsessed researcher/engineer. You treat end users and partners as collaborators and enjoy solving specific “last mile” problems – not just optimizing public metrics.

- Hands-on experience with PyTorch and large model training.

**Bonus Points**

- Contributions to state-of-the-art models in image/video generation.

- Experience collaborating with creative partners (VFX, animation, film, design tools).

- Track record building workflows/tools that materially improve iteration speed and evaluation rigor.

- Familiarity with large-scale training infrastructure and distributed systems (Ray, Slurm, Kubernetes).

Research Scientist / Engineer - Controllability, Personalization & Productization

**About Luma AI**

Luma’s mission is to build multimodal AGI. Through our research on video, 3D, and now multimodal models at Luma, we believe that AI needs to be jointly trained over all signal modalities – text, video, audio, images – analogous to the human brain.

To advance our mission, we build and operate the full stack end-to-end, spanning foundation models, inference systems, and products. This integrated approach powers technologies like Ray3, which is seeing rapidly growing adoption among Fortune 500 companies across media, entertainment, and advertising. Backed by a recent $900M Series C and our partnership with Humain to build a 2 GW compute supercluster (Project Halo), our models and the Dream Machine platform are now enabling creatives worldwide to tell some of the most impactful stories of our time.

**Where You Come In**

This is a rare and foundational opportunity to define the future of multimodal AI. You will be at the forefront of building and training large-scale multimodal models and systems that complete multimodal work. This role offers the chance to bridge cutting-edge research with magical, shipped products, working end-to-end on novel problems with no existing playbook.

**What You'll Do**

This opportunity involves both the “science” and “engineering” parts of research, two aspects that are of equal importance.

This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation that enable building agents that can complete multimodal work end-to-end.

- Modeling: Architect large-scale multimodal agentic models that use reasoning, planning, coding, and tool calling to achieve complex, multi-step multimodal work.

- Data: Hillclimbing existing tasks and formulating new tasks through data. Design, implement, and run robust data pipelines for constructing, enriching, and filtering agentic datasets.

- Systems: Train large-scale multimodal agents on massive datasets and GPU clusters.

- Evaluation: Define and build novel evaluation frameworks to measure multimodal agents.

**Who You Are**

- Strong foundation in machine learning, foundation models and agentic systems.

- Deep understanding of agentic systems and approaches in LLM/VLM reasoning, coding models, LLM/VLM tool calling.

- Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets).

- Able to contribute continuous 6 months in the internship

**What Sets You Apart (Bonus Points)**

Experience in the following around data, modeling, ~~or ~~ evaluation:

- State-of-the-art foundation models in reasoning

- State-of-the-art foundation models in coding

- State-of-the-art foundation models in tool calling

- State-of-the-art multimodal agents

~~Your application are reviewed by real people. ~~

(Internship) Research Scientist / Engineer — Foundation Model

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