Senior/Staff Data Scientist

At the company, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.

Unlike complex hyperscalers or ephemeral edge/serverless solutions, the company offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, the company empowers teams to move fast and scale confidently from MVP to millions of users.

Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.

We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.

APPLYING TO the company

We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.

We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.

Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.

ABOUT THE ROLE

We're looking for a Senior/Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across the company. As we scale, we're tackling increasingly complex questions across our product, customers, and business, from how developers discover and adopt the company, to what drives engagement and retention, to how we prioritize investments and identify new opportunities for growth.

You'll partner with leaders and teams across Product, Growth, Go-to-Market, Finance, and other functions, focusing on some combination of data analytics, analytics engineering, machine learning, and experimentation based on your strengths, interests, and the company's highest-priority needs. You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action.

As a Senior/Staff-level individual contributor, you'll also help set the standard for analytics at the company, shaping our measurement frameworks, analytical practices, and how teams across the company use data to make better decisions.

WHAT YOU’LL DO

• Serve as a strategic analytics partner. Work closely with leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams to identify high-impact questions, frame decisions, and determine how success should be measured.

• Define meaningful metrics and measurement frameworks. Develop the KPIs and frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes.

• Turn data into strategy. Surface patterns across our users, customers, products, and business. Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize.

• Shape our approach to experimentation and evaluation. Design and analyze experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand.

• Build measurement into how we work. Partner with teams to define instrumentation and measurement plans early, ensuring new products, programs, and initiatives can be evaluated reliably after launch.

• Build trusted analytical foundations. Build and maintain dbt models, semantic and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across the company.

• Raise the bar for analytics. Establish analytical best practices, improve how teams use data in decision-making, and mentor scientists and cross-functional partners on measurement, experimentation, and data literacy.

• Help shape the future of analytics at the company. Explore how AI-assisted tools can make analytics faster and more accessible while maintaining a high bar for accuracy, context, and analytical judgment.

WHAT WE’RE LOOKING FOR

• 7+ years of analytics experience, with a track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces.

• Strong business and product judgment. You can take an ambiguous question, identify what really needs to be understood, and determine the right analytical approach to inform a decision.

• Experience defining and using metrics across some combination of Product, Growth, Go-to-Market, Finance, or other business domains, for example acquisition, activation, adoption, engagement, retention, conversion, expansion, or revenue.

• Strong SQL skills. Writing complex, efficient SQL and independently exploring large datasets is a core part of how you work.

• Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact, along with judgment about when each approach is appropriate.

• Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git.

• A track record of influencing cross-functional teams and senior leaders without direct authority. You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says.

• Excellent communication skills. You can turn complex analysis into a clear narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action.

• Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization.

NICE-TO-HAVES

• Expertise in statistical methods beyond traditional A/B testing, such as causal inference, cohort and survival analysis, or time-series analysis.

• Experience with developer-focused, product-led, sales-led, or usage-based businesses.

• Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products.

• Experience analyzing multi-product or multi-segment businesses and understanding behavior across interconnected customer journeys.

If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.

BENEFITS

• 4 weeks of paid vacation.

• 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.

• Long-term disability, life insurance, and 401K plans.

• 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.

• Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.

• Monthly cell phone and internet subsidy.

• Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.

• Continuous learning benefits & related support.

This position is generally not eligible for new visa sponsorship. At the company's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.

The company is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.

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.

We encourage all who are interested to apply. We can't wait to hear from you!

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