Job Overview
Location
San Francisco
Job Type
Full-time
Category
Data Science
Date Posted
June 21, 2026
Full Job Description
đź“‹ Description
- • Embed with Product and Engineering teams as a trusted analytical partner to identify opportunities for improving user experience, adoption, retention, and business impact.
- • Define and maintain core metrics that create a shared understanding of product performance and customer value in a fast-moving AI-driven product environment.
- • Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes.
- • Analyze product usage patterns, customer segments, and go-to-market signals to surface insights, size growth opportunities, and inform product roadmap decisions.
- • Build dashboards, reports, and self-serve analytical tools that enable teams to answer product questions with confidence and reduce dependency on ad-hoc analysis.
- • Develop predictive models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization of product initiatives.
- • Translate complex quantitative analyses into clear, compelling recommendations for technical, business, and executive stakeholders.
- • Partner with Engineering and Data teams to improve the infrastructure powering analytics, experimentation, and decision-making systems.
- • Establish the standards, practices, and culture for Product Data Science at Harvey, including measurement frameworks and analytical rigor.
- • Operate in ambiguous environments where data is imperfect, product evolution is rapid, and decisions require both analytical rigor and strong product judgment.
- • Define new metrics and measurement frameworks from scratch for products where usage patterns, customer value, or success criteria are still being discovered.
- • Influence Product, Engineering, Go-to-Market, and leadership teams through clear data storytelling and persuasive communication.
- • Support the scaling of an AI-enabled enterprise product used by legal and professional service firms across 60+ countries.
- • Contribute to building the foundational data science function at a hyper-growth startup with 1500+ customers and world-class investor backing.
- • Uphold company values of Decisiveness, Simplicity, and Job's Not Finished by acting on clear judgment, prioritizing simplicity in solutions, and refusing to settle for suboptimal outcomes.
🎯 Requirements
- • 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, or research organization.
- • Strong track record of using SQL, Python, and statistical methods to answer product questions and drive product or business impact.
- • Experience defining new metrics and measurement frameworks from scratch for products with evolving usage patterns or undefined success criteria.
- • Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling with sound judgment on when precision versus directional clarity is appropriate.
- • Strong product instincts and curiosity about how users adopt and expand their use of AI-enabled workflows.
- • Excellent written and verbal communication skills with proven ability to influence cross-functional stakeholders through data-driven storytelling.
🏖️ Benefits
- • Compensation range of $155,000 - $240,000 depending on location.
- • Opportunity to join a hyper-growth startup with 1500+ customers in 60+ countries and world-class investor support.
- • Role as a foundational member of the Product Data Science function, shaping team norms, tooling, and best practices.
- • Work on AI-powered enterprise software transforming legal and professional services.
- • Culture built on Decisiveness, Simplicity, and Job's Not Finished — with emphasis on ownership, intensity, and excellence.
- • Equal opportunity employer committed to reasonable accommodations for applicants with disabilities.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Harvey AI Inc.
Harvey AI Inc. provides a generative artificial-intelligence platform engineered specifically for the legal profession. The software integrates with law-firm workflows to automate contract drafting, review, due-diligence and regulatory research, producing lawyer-quality language grounded in up-to-date statutes and precedents. Harvey combines large language models trained on legal corpora with secure, private-cloud deployment and firm-specific fine-tuning to maintain confidentiality and compliance. Clients range from global law firms to in-house legal departments seeking efficiency gains without compromising accuracy or security. The company was founded in 2022 and is headquartered in San Francisco, California.
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