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OpenAI

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s mission is to ensure AI benefits all of humanity. ChatGPT for Work supports that mission by helping more people access real leverage from AI in their day-to-day jobs&mdash;so they can spend less time on busywork and coordination, and more time on the work that&rsquo;s meaningful and additive. We&rsquo;re building an AI-native workspace where AI acts as a superassistant for everyday tasks and a coworker you can hand work off to&mdash;then review, edit, and approve with confidence.
 
 
 And we&rsquo;re doing it in a way organizations can trust, by grounding experiences in the right company context and systems safely and reliably.
 
 
 
 About The Role
 
 
 
 As the Data Scientist for ChatGPT for Work, you&rsquo;ll shape product strategy through data: uncover the user problems most worth solving, form sharp hypotheses about what will move team and business outcomes, and influence what we build next by presenting compelling recommendations grounded in rigorous evidence. You&rsquo;ll be the DRI for the Work
 
 insight &rarr; strategy &rarr; experiment &rarr; decision
 
 loop&mdash;defining what &ldquo;success&rdquo; means for teams, pinpointing the highest-leverage adoption and retention bottlenecks, and turning signals into clear product direction.
 
 
 You&rsquo;ll partner closely with Product, Engineering, Research, and Finance to ensure our metrics are trusted, our experimentation is rigorous, and our insights turn into shipped improvements.
 
 
 This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Own the core KPI framework for ChatGPT for Work, spanning onboarding, activation, engagement, retention, and expansion, as well as quality/trust guardrails.
 </li>
 <li>
 Build end-to-end funnels that identify where individuals and teams succeed or get stuck, from first workspace setup through repeat usage and long-term team adoption and value creation.
 </li>
 <li>
 Define and operationalize &ldquo;time-to-value&rdquo; and collaboration loop metrics, and connect them to business outcomes.
 </li>
 <li>
 Design and evaluate experiments and rollouts to quantify the impact of product changes across key Work surfaces and flows.
 </li>
 <li>
 Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.
 </li>
 <li>
 Translate complex analysis into clear, compelling insights that shape product strategy and roadmap decisions.
 </li>
 <li>
 Help establish data science standards and best practices for measuring human&ndash;AI collaboration and AI-native work outcomes.
 </li>
 <li>
 Partner with other data scientists across the company to share learnings and raise the bar on measurement, experimentation, and decision-making.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You Have
 
 
 
 <ul>
 <li>
 10+ years in data science / analytics in in high-velocity product environments
 </li>
 <li>
 Direct experience working on B2B products (SaaS, collaboration/workspace, developer tools, or enterprise)
 </li>
 <li>
 Expert SQL + strong Python
 </li>
 <li>
 Strong experimentation + causal inference judgment (incl. when clean A/B tests aren&rsquo;t feasible)
 </li>
 <li>
 Strong product sense/taste: can turn messy signals into crisp hypotheses and roadmap direction
 </li>
 <li>
 Proven ability to inspire and influence PM/Eng/Design + leadership through data storytelling
 </li>
 <li>
 Autonomous operator who sets the insights/measurement agenda
 </li>
 <li>
 Excellent executive communication; thrives in ambiguous, fast-moving environments
 </li>
 <li>
 AI-native operator (non-negotiable): &ldquo;super AI-pilled&rdquo;&mdash;first to adopt new AI tools, uses them daily to increase throughput, and turns them into durable org workflows
 
 
 </li>
 </ul>
 
 Nice-to-haves
 
 
 
 <ul>
 <li>
 Experience with agentic and/or AI-native B2B products (agents, copilots, workflow automation, AI collaboration)
 </li>
 <li>
 Experience measuring AI product quality, trust, and human-AI interaction signals
 </li>
 <li>
 Familiarity with enterprise admin/security constraints and how they shape adoption
 </li>
 <li>
 Experience with B2B PLG growth loops and monetization/seat expansion dynamics
 
 
 </li>
 </ul>
 
 Why it matters
 
 
 
 Work is one of the biggest places AI can improve people&rsquo;s lives. If we get ChatGPT for Work right, we help individuals and teams spend less time on busywork and coordination and more time on the work that&rsquo;s meaningful and additive&mdash;making better decisions, moving faster, and producing higher-quality outcomes. This role matters because the way we measure, learn, and iterate will determine whether AI becomes a genuinely trusted superassistant and coworker for everyday knowledge work, at scale.
 
 
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>

Data Scientist, ChatGPT for Work

HappyRobot

<div>
 
 About HappyRobot
 
 
 
 HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.
 
 
 Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.
 </li>
 <li>
 Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.
 </li>
 <li>
 Build and maintain robust data pipelines and models to ensure data quality.
 </li>
 <li>
 Partner with Product, Engineering, and Design teams to inform decisions.
 </li>
 <li>
 Translate complex data into clear, actionable insights for product teams.
 </li>
 <li>
 Love working with data. Love making product better. Love finding the story behind the numbers.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define, build, and maintain product metrics, dashboards, and pipelines.
 </li>
 <li>
 Write SQL and Python code to extract, transform, and analyze data.
 </li>
 <li>
 Design and run experiments (A/B tests) to support product development.
 </li>
 <li>
 Proactively explore data to identify product opportunities and insights.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure data-driven decisions.
 </li>
 <li>
 Ensure data quality, reliability, and documentation across analytics efforts.
 
 
 </li>
 </ul>
 
 Must Have
 
 
 
 <ul>
 <li>
 3+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles.
 </li>
 <li>
 Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).
 </li>
 <li>
 Proficiency in Python for data analysis and modeling.
 </li>
 <li>
 Excellent communication skills: able to explain complex data insights clearly.
 </li>
 <li>
 Curious, collaborative, and driven to make an impact in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in B2B SaaS or AI/ML products.
 </li>
 <li>
 Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).
 </li>
 <li>
 Exposure to machine learning concepts or AI-powered systems.
 
 
 </li>
 </ul>
 
 Why join us?
 
 
 
 <ul>
 <li>
 Opportunity to work at a high-growth AI startup, backed by top investors.
 </li>
 <li>
 Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
 </li>
 <li>
 Ownership &amp; Autonomy - Take full ownership of projects and ship fast.
 </li>
 <li>
 Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
 </li>
 <li>
 Comprehensive Benefits - Healthcare, dental, vision coverage.
 </li>
 <li>
 Work With the Best - Join a world-class team of engineers and builders.
 
 
 </li>
 </ul>
 
 Our Operating Principles
 
 
 
 
 
 Extreme Ownership
 
 
 
 
 We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting &mdash; if something needs fixing, we own it and make it better. This means stepping up, even when it&rsquo;s not &ldquo;your job.&rdquo; If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don&rsquo;t wait for someone else to solve it &mdash; we lead with accountability and expect the same from those around us.
 
 
 
 
 Craftsmanship
 
 
 
 
 Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for &ldquo;just fine.&rdquo; We sweat the details because details compound. Whether it&rsquo;s a product feature, an internal doc, or a sales call &mdash; we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build &mdash; even when nobody&rsquo;s watching.
 
 
 
 
 We are &ldquo;majos&rdquo;
 
 
 
 
 Be friendly &amp; have fun with your coworkers. Always be genuine &amp; honest, but kind. &ldquo;Majo&rdquo; is our way of saying: be a good human. Be approachable, helpful, and warm. We&rsquo;re building something ambitious, and it&rsquo;s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.
 
 
 
 
 Urgency with Focus
 
 
 
 
 Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We&rsquo;re running a high-speed marathon &mdash; not a sprint with no strategy.
 
 
 
 
 Talent Density and Meritocracy
 
 
 
 
 Hire only people who can raise the average; &lsquo;exceptional performance is the passing grade.&rsquo; Ability trumps seniority. We believe the best teams are built on talent density &mdash; every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players &mdash; that&rsquo;s how we win.
 
 
 
 
 First-Principles Thinking
 
 
 
 
 Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don&rsquo;t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It&rsquo;s how we build what others think is impossible.
 
 
 
 The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.
 
 
 
 
 By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
 
 
 
 
 In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
 
 
 
 
 If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.
 
 
 
 
 For more information, visit
 
 
 https://www.happyrobot.ai/privacy-policy
 
 
 
 
 By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
 
</div>

Data Engineer

LINDY

<div>About Lindy
Lindy is building the AI assistant for everyone else &mdash; not the tinkerers, not the builders, but the people who just want their day back. Lindy Assistant lives in iMessage, handles email, calendar, and meetings, and takes two minutes to set up. We're building the layer between powerful AI models and real people's lives.
As Lindy's Data Engineer, you'll work closely with senior leadership (Lindy's CEO, GTM leads, and Head of Engineering) to uncover critical business insights from many sources of in-the-wild data (product analytics, BI/revenue information, customer reports, etc.). You'll be responsible for the end-to-end lifecycle of data, working closely with product and engineering to define key analytics metrics, combining that data into actionable insights, and communicating and disseminating those insights to leadership and across the company.
You'll also be in the driver's seat of our data infrastructure, iterating on Lindy's ETL pipelines, transformed tables, and other fundamental data engineering infrastructure. You'll be collaborating closely with Lindy's Head of Engineering and Director of Ops &amp; Analytics in this capacity. At Lindy, you can expect an environment with little process and high empowerment, paired with high expectations and a strong sense of urgency.
We are an in-office company, working from our downtown San Francisco office 4 days a week. We sponsor visas and cover relocation costs up to $20,000.<h2 class="jobSectionHeader">
Key Responsibilities</h2>
Data Infrastructure:<ul><li>
Design and implement scalable ETL pipelines that handle product analytics, customer usage data, and business metrics</li><li>
Build reliable data warehousing solutions that support both real-time and batch processing needs</li><li>
Create automated data quality monitoring and alerting systems</li></ul>
Analytics &amp; Insights:<ul><li>
Develop comprehensive dashboards and reporting systems that track key business and product metrics</li><li>
Collaborate closely with the founder/CEO, PMs, and engineering team to understand customer behavior, product performance, and business health</li><li>
Identify opportunities to improve lagging metrics across customer acquisition, retention, product adoption, and revenue. Design and implement initiatives to address them</li><li>
Partner with product and engineering teams to instrument new features with proper analytics tracking</li></ul>
Data Strategy:<ul><li>
Establish frameworks for experimentation and A/B testing across our product</li><li>
Build self-service analytics capabilities that empower non-technical teams</li></ul><h2 class="jobSectionHeader">
Must haves</h2><ul><li>
2+ years of data engineering or data analytics experience (building production data pipelines and analytics infrastructure)</li><li>
Expert-level SQL skills and experience with modern data warehouses (Snowflake, BigQuery, or similar)</li><li>
Hands-on experience with ETL tools (Fivetran, Airbyte, or custom solutions) and data transformation frameworks (dbt)</li><li>
Proficiency with BI tools (Tableau, Looker, or similar) and advanced spreadsheet analysis</li><li>
Track record of working independently and delivering high-impact projects with minimal oversight</li><li>
Excitement to work in-person 4 days a week from our downtown San Francisco office</li><li>
The technical skills of a data-oriented engineer who can build and maintain data infrastructure</li><li>
The strategic thinking of a business strategist who can identify and communicate our business' most pressing questions</li><li>
The analytical capabilities of a data analyst who can turn questions and data into insights</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience with product analytics tools (PostHog, Mixpanel, Amplitude)</li><li>
Python/JavaScript proficiency for custom analysis and automation</li><li>
Background in statistics, data science, or machine learning</li><li>
Previous experience at high-growth B2B SaaS companies</li><li>
Familiarity with AI/ML product metrics and experimentation</li></ul><h2 class="jobSectionHeader">
Compensation and Benefits</h2><ul><li>
Base Salary Range $150K-$185K + equity</li><li>
Comprehensive health coverage</li><li>
$20K relocation assistance and visa sponsorship</li><li>
High autonomy and direct collaboration with leadership</li><li>
The fun of working at a no-nonsense 30-person startup that just wants to build an amazing product and business</li></ul></div>

Cognition AI

<div><div>Location<div>
San Francisco Bay Area</div></div><div>
Employment Type<div>
Full time</div></div><div>
Location Type<div>
On-site</div></div><div>
Department<div>
General &amp; Administrative</div></div></div>
 <div><div><div>We are an applied AI lab building end-to-end software agents.</div>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
We&rsquo;re hiring a Data Engineer to help own our data stack &mdash; from database architecture and pipelines to integrations and reporting. You&rsquo;ll design and maintain the systems that keep our data reliable, accessible, and actionable across the Finance and Accounting organization.
In this role you will:<ul><li><div>
Design and manage database architecture and data models with a focus on finance and accounting use cases</div></li><li><div>
Build and maintain ETL/ELT pipelines and orchestration workflows</div></li><li><div>
Create and manage data integrations across internal and external financial systems</div></li><li><div>
Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets</div></li><li><div>
Support close processes, FP&amp;A workflows, and revenue reporting through scalable data infrastructure</div></li><li><div>
Own business reporting: datasets, dashboards, metrics, and self-serve analytics</div></li><li><div>
Ensure data quality, observability, governance, and documentation</div></li></ul>
Requirements for the role:<ul><li><div>
5+ years in a data engineering, analytics engineering, or a full-stack data role</div></li><li><div>
Expert SQL and strong Python (or R)</div></li><li><div>
Experience with data modeling, warehouse architecture, and BI-oriented schema design</div></li><li><div>
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)</div></li><li><div>
Experience building or maintaining BI reporting (Metabase a plus)</div></li><li><div>
Proven track record collaborating with finance stakeholders to deliver impactful solutions</div></li><li><div>
Experience with FP&amp;A processes, close workflows, and financial reporting</div></li><li><div>
Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts</div></li><li><div>
Based in SF and willing to be in office 5 days a week</div></li></ul></div></div>

Data Engineer - Finance

Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 
 
 We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You&rsquo;ll also work closely with stakeholders across business teams including sales, marketing, and finance to ensure that the data they need arrives promptly and reliably. You&rsquo;ll play an integral role in building the metrics and self-serve reporting capabilities to unlock Figma&rsquo;s next phase of growth.
 
 
 This is a great role for an individual who is passionate about working with data and data systems, and who loves solving problems. You&rsquo;ll have a good sense for when it makes sense to build fast, scrappy solutions to unblock a key stakeholder vs. when to push back or bring in an outside service. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and takes pride in building end-to-end projects.
 
 
 This is a full time role that can be held from one of our US hubs or remotely in the United States.
 
 
 
 What you'll do at Figma
 
 
 :
 
 
 
 <ul>
 <li>
 Own, build, and maintain scalable data pipelines that connect various cloud data sources.
 </li>
 <li>
 Develop a deep understanding of Figma&rsquo;s core data models and optimize data pipelines for scale.
 </li>
 <li>
 Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
 </li>
 <li>
 Work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences.
 </li>
 <li>
 Establish best practices for the development of specialized data sets for analytics and modeling.
 
 
 </li>
 </ul>
 We'd love to hear from you if you have:
 
 
 <ul>
 <li>
 4+ years in a relevant field.
 </li>
 <li>
 Fluency with both SQL and Python.
 </li>
 <li>
 Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools.
 </li>
 <li>
 Excellent judgment and creative problem solving skills.
 </li>
 <li>
 A self-starting mindset along with strong communication and collaboration skills.
 
 
 </li>
 </ul>
 While not required, it&rsquo;s an added plus if you also have:
 
 
 <ul>
 <li>
 Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics.
 </li>
 <li>
 Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus.
 
 
 </li>
 </ul>
 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 
 
 
 Pay Transparency Disclosure
 
 
 
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 
 
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 
 
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 
 
 Annual Base Salary Range:
 
 
 $140,000&mdash;$348,000 USD
 
 
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 
 ,
 
 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 
 
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 
 
 Examples of accommodations include but are not limited to:
 
 
 <ul>
 <li>
 Holding interviews in an accessible location
 </li>
 <li>
 Enabling closed captioning on video conferencing
 </li>
 <li>
 Ensuring all written communication be compatible with screen readers
 </li>
 <li>
 Changing the mode or format of interviews
 
 
 </li>
 </ul>
 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 
 
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
</div>

Cognition

<div><h2 class="jobSectionHeader">We are an applied AI lab building end-to-end software agents.</h2>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.<h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re hiring a Data Engineer to help own our data stack &mdash; from database architecture and pipelines to integrations and reporting. You&rsquo;ll design and maintain the systems that keep our data reliable, accessible, and actionable across the Finance and Accounting organization.
In this role you will:<ul><li>
Design and manage database architecture and data models with a focus on finance and accounting use cases</li><li>
Build and maintain ETL/ELT pipelines and orchestration workflows</li><li>
Create and manage data integrations across internal and external financial systems</li><li>
Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets</li><li>
Support close processes, FP&amp;A workflows, and revenue reporting through scalable data infrastructure</li><li>
Own business reporting: datasets, dashboards, metrics, and self-serve analytics</li><li>
Ensure data quality, observability, governance, and documentation</li></ul>
Requirements for the role:<ul><li>
5+ years in a data engineering, analytics engineering, or a full-stack data role</li><li>
Expert SQL and strong Python (or R)</li><li>
Experience with data modeling, warehouse architecture, and BI-oriented schema design</li><li>
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)</li><li>
Experience building or maintaining BI reporting (Metabase a plus)</li><li>
Proven track record collaborating with finance stakeholders to deliver impactful solutions</li><li>
Experience with FP&amp;A processes, close workflows, and financial reporting</li><li>
Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts</li><li>
Based in SF and willing to be in office 5 days a week</li></ul></div>

Genentech

<div><div><div>THE POSITION</div>
Job Summary
The Senior Data Scientist in Data, Analytics, and AI develops, deploys, and industrializes enterprise applications leveraging machine learning techniques to extract value from structured and unstructured data across Commercial and Medical domains. Acting as a strategic thought partner, the role involves shaping impactful business priorities, collaborating cross-functionally, and delivering actionable insights. The position requires a strong execution mindset, commitment to data quality and governance, and the ability to communicate complex findings to different audiences&mdash;all while staying at the forefront of AI innovation and aligning with Genentech&rsquo;s standards and compliance.
Key Job Responsibilities<ul><li>
Drive the development, deployment, and industrialization of enterprise applications using machine learning techniques (e.g., classification, regression, and forecasting) to generate value from structured and unstructured data for Commercial and Medical organizations.</li><li>
Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience for customers.</li><li>
Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.</li><li>
Act as subject matter expert for applicable Data Science and other advanced analytical methodologies, programs, and projects. Collaborate within cross‑functional teams to develop efficient Machine Learning‑based applications, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision‑making.</li><li>
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value.</li><li>
Apply data science and other advanced analytical methodologies, using multiple data sources and tools.</li><li>
Collaborate with data science product owners/managers, data leads, ML Engineers, and MLOps team to develop efficient machine learning-based applications, gain alignment, and deliver impactful business insights.</li><li>
Communicate findings effectively to both technical and non-technical audiences.</li></ul> 
Who You Are<ul><li>
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.</li><li>
5 years of experience in data science or related roles.</li><li>
Proficiency in programming languages such as Python, R.</li><li>
Knowledge of SQL for database management.</li><li>
Strong expertise in Machine Learning and Deep Learning techniques</li><li>
Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.</li><li>
Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis.</li></ul> 
Preferred Qualifications<ul><li>
Experience working with large and complex data sets in collaboration with business and analytics teams.</li><li>
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).</li><li>
Contributions to open source projects or publications in data science.</li><li>
Experience in healthcare, pharmaceutical, or highly regulated industries.</li><li>
Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, AWS or similar certifications).</li><li>
Experience working with large, complex data using Hadoop or Spark or any other big data platforms.</li><li>
Proficiency with industry-standard programming languages such as Python.</li><li>
Experience with other Data Science and cloud-computing tools and platforms (AWS, GCP, etc.).</li><li>
Proficiency using ML in a variety of contexts such as insight generation, ROI calculation, text classification, clustering etc.</li><li>
Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc.</li><li>
Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy.</li></ul>
Location<ul><li>
This position is based in South San Francisco, CA at our Genentech Campus</li><li>
Relocation benefits are NOT available for this posting</li></ul>
The expected salary range for this position based on the primary location of South San Francisco, CA is $185,200/yr to $343,900/yr. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
 Benefits
#LI-CM4
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Computational Biology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 2nd 2026
</div><div>Job ID
202604-108637</div></ul></div></div></div></div>

Senior Data Scientist

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