Roboflow creates software-as-a-service products to make building with computer vision easy.

Over 500,000 developers use Roboflow to manage image data, annotate and label datasets, apply preprocessing and augmentations, convert annotation file formats, train a computer vision model in one-click, and deploy models via API or to the edge.

https://roboflow.com

Industry: Software Development
Company Size: 11-50 employees

Roboflow

Savvy Admin PROD

**Who We Are**

Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.

We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includescounting cells to accelerate cancer research, improvingconstruction site safety,digitizing floor plans,preserving coral reef populations,guiding drone flight, andmuch more.

Our team is small relative to our impact, and we believe our user success is our success (not the inverse). A team member summarized: “Roboflow is a company full of giant brains and tiny egos.” We find software has a multiplier effect on all roles (not only product and engineering), so Roboflow employs developers across the company in design, sales, customer support, marketing, and beyond.

We’re supported by great customers and investors, having raised over 63 million from Google Ventures, Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

**What You'll Do**

As a Machine Learning Research Engineer, you will develop novel machine learning methods and contribute to the research agenda of the team. Because of Roboflow’s huge userbase, we have a unique visibility into how people are using computer vision in the real world, including in what circumstances existing methods are unable to solve user problems.

Our Research Team’s mission is to introduce novel methods that generalize as well as possible across our user base. This includes methods that learn well on diverse data, run efficiently on different hardware targets, and solve unique categories of problems. You will help identify areas for innovation, create novel approaches, and write papers aimed at top conferences. Additionally, you will help translate research methods into production systems running at scale.

**Who You Are**

You are a pragmatic, experienced machine learning researcher who wants to be an important part of an exceptional team that focuses on using Roboflow's computer vision tools to impact and improve every industry. You have high agency and a bias toward action.

- Masters / PhD in AI, machine learning, computer vision, robotics, or similar technical field of study, or equivalent industry experience

- History of publication at conferences / journals (CVPR, NeurIPS, ICLR, etc.)

- Proficient in Python

- Values scientific rigour, reproducibility, and high quality software

- Passionate about computer vision and solving problems users value

- Pragmatic approach to utility in practice (not just in theory)

**Preferred But Not Required**

- Previous experience with both optimizing models for edge hardware and training models on distributed infrastructure

- Expertise in PyTorch

**Where You'll Work**

Roboflow’s team is distributed across the world. We currently have Hubs in New York City, San Francisco, and Brazil (and plan to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!

**What You'll Receive**

To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market.

💰 The target compensation for this role is **$168,000 ** - **$255,000 ** base. Range is based on location and level.

📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:

- $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers

- Cover up to 100% of your health insurance costs for you and your partner or family

- $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space

- $350/mo AI Stipend

- $500 one time home office stipend

- $150/mo Team lunch stipend

- Unlimited PTO - with an annual 2 week minimum, we encourage you to take time off for yourself

- 12 weeks parental leave

- Equity in the company so we are all invested in the future of computer vision

**Interview Process (~4.5 hours)**

Below is the interview process you can expect for this role. We’re committed to building an exceptional team and aim to be thoughtful while also moving quickly. We respect your time and strive to make decisions efficiently, depending on scheduling and availability.

You’ll have several conversations with the hiring manager, a member of the Roboflow leadership team, and complete a role-relevant project or challenge.

Throughout the process, you’ll speak directly with team members about what it’s like to work and succeed at Roboflow. Below is the interview process you can expect for this role.

**Before The Interview**

- We’ll review your application, LinkedIn, Github, Google Scholar, etc.

- The best way to stand out is to write about something you’ve built with Roboflow or contribute to one of our open source projects.

**Introduction Phase**

- [30m] Meet with hiring manager to assess for overall mindset and skillset

- [1h30m] Technical Assessment

**Team Interview Phase**

- [30m] Meet with another member of the team.

**Build With Roboflow Phase**

- You will build a small project with Roboflow to showcase your creativity and technical skills.

- [30m] Meet with our CTO, Brad Dwyer, for another interview and to demo your project

Final Interview Stage

- [60m] Meet with hiring manager again

- [30m] Leadership conversation focused on culture and company vision (if needed)

- [30m] Additional leadership discussion to discuss culture

References

- References are required as part of our process. We will reach out to coordinate timing.

Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can.

**Not sure if this is you?**

We want a diverse, global team with a broad range of experience and perspectives. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

**Learn More About Us**

At Roboflow, we believe great ideas come from everywhere, and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.

Machine Learning Research Engineer

Lightspeed is a global, multi-stage, venture capital firm managing over $40B in assets. Since its founding in 2000, Lightspeed has been the first investor and an early backer of some of the most innovative companies in the world including Abridge, Anthropic, Castelion, Glean, Mistral, Navan, Netskope, Rubrik, Snap, Wiz, and more. Learn more at lsvp.com.


The content herein does not constitute an offer to sell or a solicitation of an offer to buy any securities or investment advisory services. 

Certain information contained herein is based on information from various sources prepared by third parties. While such sources are believed by Lightspeed to be reliable, neither Lightspeed nor its affiliates assume any responsibility for the accuracy or completeness of such information, and such information has not been independently verified by Lightspeed. Unless otherwise indicated, the inclusion of any third-party firm and/or company names, brands and/or logos are for representational purposes and does not imply any affiliation with these firms or companies and also does not imply their endorsement to the views expressed by the authors. For additional disclosures, please see https://lsvp.com/legal/

Industry: Venture Capital and Private Equity Principals
Company Size: 51-200 employees

Lightspeed

**About Faire**

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

**About This Role**

We are looking for a data-driven email expert to join Faire's Growth Marketing team. As a Senior Lifecycle Marketing Manager, you'll be responsible for ideating, executing, and optimizing scaled lifecycle journeys to drive engagement and conversion. You'll collaborate closely with cross-functional partners across Design, Analytics, and Product to turn customer data into effective and dynamic email campaigns at scale. The ideal candidate has worked in an experimentation-driven environment, has a track record of using AI tools to automate team workflows, accelerate creative testing, and launch new channel experiments with minimal engineering or analytics support, and stays ahead of the curve with the latest digital marketing trends.

**What You’ll Do**

- Own the end-to-end lifecycle strategy for a defined area of the retailer journey, translating business goals into audience plans, messaging frameworks, and test-and-learn experiments.

- Develop and launch automated email, push, SMS, and in-app workflows based on retailer behavior, lifecycle stage, and intent signals.

- Work cross functionally alongside Product, Data, and Design to ensure CRM marketing strategies align with broader business objectives.

- Partner with Analytics to understand campaign performance and generate data-based hypothesis to inform new experimentation opportunities.

- Analyze campaign trends, develop actionable insights, and socialize relevant learnings across the organization.

- Partner with the Growth Platform team to integrate models, dynamic content, and AI decisioning into lifecycle journeys, moving the team away from one-size-fits-all toward retailer-specific experiences.

- Oversee the technical execution of campaign deployment, and be a thought leader for leveraging new marketing technologies, platforms, and channels.

**Qualifications**

- 4+ years hands-on experience managing lifecycle campaigns optimized for down-funnel metrics (conversion, revenue, retention)

- Analytical with structured problem-solving. Comfortable drawing conclusions from large data sets and translating them into clear recommendations

- Strong A/B testing knowledge: hypothesis design, audience segmentation, holdout structure, and result interpretation

- Hands-on experience with CRM/marketing automation platforms (Braze, Iterable, Mailchimp, Salesforce Marketing Cloud, or similar)

- Strong cross-functional collaboration skills, especially with Product, Analytics, Engineering, and Design

- Demonstrated track record of using AI tools to automate workflows, accelerate creative testing, and launch new channel experiments with minimal eng or analytics support

- Strong organization skills, attention to detail, and a passion for optimizing processes =

- Excellent written and oral communication. Can explain complex CRM strategy and measurement concepts to non-technical stakeholders

- Bias for action and comfort operating in ambiguity, with the agility to balance multiple priorities

- Experience across both B2C and B2B email marketing strategies is a strong plusExperience across a two-sided marketplace or e-commerce is a strong plus

- Experience with personalization models or dynamic content at scale is a plus

- Experience with Excel & SQL is a plus

**Salary Range**

San Francisco, CA; New York City, NY: the pay range for this role is $148,000 to $203,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

~~Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.~~

**Why you’ll love working at Faire**

- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.

- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.

- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.

- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.

- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

**Privacy**

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Lifecycle Marketing Lead

Motional is making driverless vehicles a safe, reliable, and accessible reality. 

We've been revolutionizing driverless technology for decades. Our DNA - a joint venture between automotive technology expert Aptiv and vehicle manufacturing leader Hyundai Motor Group - uniquely positions us to fundamentally change how the world moves.

Industry: Motor Vehicle Manufacturing
Company Size: 1,001-5,000 employees

Motional

**Mission Summary:**

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

**What you'll be doing:**

- **Performance Profiling & Optimization **: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.

- **Distributed Training **: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.

- **Kernel Development **: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.

- **Data Pipeline Engineering **: Optimize robust data loading pipelines that maximize training throughput.

**What we're looking for **:

- **Education **: Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.

- **Software Engineering **: Strong proficiency in Python.

- **ML Frameworks **: Extensive hands-on experience with PyTorch.

- **ML Knowledge **: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.

- **Problem Solving **: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

**We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.**

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range: $144,000 USD - $192,000 USD

**Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.**

**Our journey is always people first.**

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

**Higher purpose, greater impact.**

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.

**Scale up, not starting up.**

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

~~Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility. ~~

Machine Learning Systems Engineer

We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.

Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

Industry: Research Services
Company Size: 51-200 employees

Anthropic

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable.

**Responsibilities**

- Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows

- Optimize encoding techniques to improve model training efficiency and performance

- Collaborate closely with research teams to understand their evolving needs around data representation

- Build infrastructure that enables researchers to experiment with novel tokenization approaches

- Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline

- Create robust testing frameworks to validate tokenization systems across diverse languages and data types

- Identify and address bottlenecks in data processing pipelines related to tokenization

- Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams

**You May Be a Good Fit If You**

- Have significant software engineering experience with demonstrated machine learning expertise

- Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments

- Can work independently while maintaining strong collaboration with cross-functional teams

- Are results-oriented, with a bias towards flexibility and impact

- Have experience with machine learning systems, data pipelines, or ML infrastructure

- Are proficient in Python and familiar with modern ML development practices

- Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes

- Pick up slack, even if it goes outside your job description

- Enjoy pair programming (we love to pair!)

- Care about the societal impacts of your work and are committed to developing AI responsibly

**Strong Candidates May Also Have Experience With**

- Working with machine learning data processing pipelines

- Building or optimizing data encodings for ML applications

- Implementing or working with BPE, WordPiece, or other tokenization algorithms

- Performance optimization of ML data processing systems

- Multi-language tokenization challenges and solutions

- Research environments where engineering directly enables scientific progress

- Distributed systems and parallel computing for ML workflows

- Large language models or other transformer-based architectures (not required)

**Deadline to apply: ** None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$320,000—$405,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Machine Learning Systems Engineer, Research Tools

Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.   

The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.   

Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D.  Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.  

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Industry: Investment Management
Company Size: 201-500 employees

The Voleon Group

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

As a GRC Manager, you will own and operationalize governance, risk, and compliance within the Information Security organization, reporting directly to the CISO. This is a security GRC role — distinct from the firm's trade compliance function — focused on building an information security risk management program from the ground up. You will transform an existing risk assessment framework and methodology into a living program with a formal risk register, policy lifecycle, control inventory, and security compliance posture. This role sits at the intersection of security engineering, operational risk, legal, and investor relations — requiring both the technical depth to engage credibly with a strong InfoSec engineering team and the communication skills to translate complex security posture into business language for leadership, auditors, and investors.

This is not a checkbox compliance role. You will need genuine security expertise to write accurate policies grounded in how systems actually work, conduct meaningful risk assessments, and partner with security engineers on control design and gap remediation. You will serve as the primary interface between InfoSec (first line) and the firm's Operational Risk, Internal Audit, Legal, and Compliance functions (second/third line) — owning the three-lines-of-defense relationship on behalf of the CISO organization.

**Responsibilities**

- Own and operationalize the information security risk management program — complete the risk register, drive quarterly (at minimum) risk assessment processes, maintain and evolve the existing risk assessment methodology

- Own the security policy lifecycle: creation, review, updates, and enforcement across the organization

- Serve as the primary interface between InfoSec (first line) and Operational Risk, Internal Audit, Legal, and Compliance (second/third line)

- Own the monthly cybersecurity check-in with Operational Risk — review open items, emerging risks, KRI status, incident escalation reporting

- Build and maintain a comprehensive control inventory mapped to risk scenarios; track control effectiveness and identify gaps

- Organize and streamline the vendor risk / DDQ process; formalize vendor risk tiering and review cadence

- Create and maintain security program materials for investor due diligence — translate technical security capabilities into business and risk language

- Support audit processes — own the preparation and maintenance of audit materials

- Navigate cyber insurance policy evaluation and procurement if required

- Drive convergence toward compliance standards (SOC 2, ISO 27001, or equivalent) based on firm needs and investor expectations

- Partner on data privacy requirements as they intersect with information security — including GDPR and cross-border data handling considerations as the firm's regulatory footprint evolves

- Provide governance perspective on business continuity and disaster recovery as it relates to information security — assess gaps, push for maturity, and ensure BC/DR considerations are integrated into the risk program

- Document security processes, procedures, and operational workflows — build the institutional knowledge base

- Evaluate and potentially implement automated compliance tooling to reduce manual evidence collection burden

- Connect risk reduction to investment decisions — help the CISO articulate security program ROI to leadership through BLP planning and PKR alignment

**Requirements**

- 7+ years of experience in information security with meaningful GRC depth — not pure audit/compliance without security engineering exposure

- Demonstrated ability to write security policies grounded in technical reality — you understand how systems, identity, networks, and applications work, not just what controls should exist on paper

- Experience building or significantly maturing a risk management program: risk registers, risk assessments, control mapping, remediation tracking

- Familiarity with risk assessment methodologies (bow-tie, FAIR, NIST RMF, or equivalent)

- Experience interfacing with operational risk, internal audit, legal, and compliance functions — comfortable navigating multi-stakeholder governance relationships

- Strong understanding of security controls across infrastructure, identity, endpoint, cloud, and application layers

- Experience creating investor-facing or board-level security materials — ability to translate technical posture into business risk language

- Excellent written and verbal communication — policies, risk narratives, and executive summaries are primary deliverables

- Experience with vendor risk management and third-party due diligence questionnaires

- Awareness of data privacy regulations (GDPR, CCPA) and how they intersect with information security controls and policy

- Self-directed and autonomous — this is a solo function initially; you will define scope, prioritize, and execute without a team

**Preferred Qualifications**

- Experience with compliance frameworks (SOC 2, ISO 27001, NIST CSF, CIS Controls) and the practical work of achieving or maintaining compliance

- Experience with cyber insurance — policy evaluation, application processes, underwriter interactions

- Background in financial services, hedge funds, or regulated environments with investor due diligence requirements

- Familiarity with automated compliance platforms

- Experience with business continuity and disaster recovery program governance

- Experience with operational risk reporting and KRI/KPI frameworks

- Certifications such as CISSP, CISM, CRISC, or GRCP

- Experience working in a quasi-academic, engineering-heavy culture where credibility is earned through demonstrated expertise, not authority

**“Friends of Voleon” Candidate Referral Program**

If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.

**Equal Opportunity Employer**

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Compensation Range: $235K - $315K

GRC Manager

We find the best job offers for experts in ChatGPT and related technologies. Additionally, you'll find the best AI applications in your field: data analysis, digital marketing, education, and other updates.

Industry: Technology, Information and Internet
Company Size: 2-10 employees

ChatGPT Jobs

**Job Description**

Job Information: Content & Communications Lead

Job Title: Content & Communications Lead

**Company: ** EvenUp

**Location: ** Remote (Hubs in San Francisco and Toronto; Home office stipend provided)

**Employment Type: ** Full-time

**Department: ** Communications / Marketing

**Job Summary**

EvenUp is a rapidly growing vertical SaaS company using technology and AI to close the justice gap for personal injury lawyers and victims. We are seeking a **Content & Communications Lead ** to own our editorial strategy and execution. In this role, you will report to the VP of Communications and produce high-quality content that positions EvenUp as a leader in AI and legal technology.

Machine Learning & Artificial Intelligence

Key Responsibilities

- Editorial Leadership: Build, maintain, and execute weekly and quarterly content calendars aligned with company priorities.

- Content Production: Write and edit blogs, executive thought leadership, customer stories, product narratives, and company announcements.

- Storytelling: Translate complex AI, legal, and business topics into clear, engaging, and customer-focused narratives.

- Standards & Quality: Set and maintain high editorial standards for accuracy, clarity, tone, and consistency.

- Research: Independently research industry trends, validate claims, and synthesize information.

- Collaboration: Partner cross-functionally with Product, Marketing, Sales, Customer Success, and executives to align messaging.

- Thought Leadership: Shape company narratives and identify where EvenUp should lead in the conversation regarding AI in law.

- Performance Tracking: Monitor content performance and refine strategy based on audience engagement.

**Qualifications & Requirements**

- Experience: 8+ years of proven experience in creating original content, identifying relevant stories, and managing editorial calendars.

- Skills: Excellent writing and editing abilities with a strong customer-first mindset; ability to avoid jargon and ensure clarity.

- Subject Matter: Experience covering technology, AI, business strategy, or emerging industries; working understanding of AI concepts.

- Soft Skills: Strong critical thinking, editorial judgment, ability to operate independently, and experience working with senior leaders.

- Work Style: High standards, attention to detail, and ability to manage multiple priorities in a fast-paced environment.

Benefits & Perks

- Choice of medical, dental, and vision insurance plans.

- Additional coverage: Life, accident, and critical illness insurance.

- Flexible paid time off (PTO), sick leave, short-term, and long-term disability.

- 10 US observed holidays and Canadian statutory holidays.

- Home office stipend.

- Retirement plans: 401(k) for US employees; RRSP for Canadian employees.

- Paid parental leave.

- Access to local in-person meet-up programs and hubs in San Francisco and Toronto.

Content & Communications Lead

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