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Hippocratic AI is seeking a Senior Product Data Analyst to drive company-wide product strategy and quantify the clinical, operational, and financial impact of their healthcare AI platform. This is a strategic, high-impact role focused on establishing foundational measurement and evaluation frameworks for AI clinical agents at scale—not a dashboarding position.
You will partner directly with Executive Leadership, Product, Engineering, Customer Success, and clinical teams to solve highly ambiguous strategic challenges: Which product investments should be prioritized? What structural levers drive or limit customer adoption? How do we quantify long-term outcomes for health systems and patients with decision-grade data?
Key responsibilities include:
**Define how we measure success:** Partner across executive, clinical, and product leadership to establish company-wide AI agent evaluation frameworks, critic architectures, and quality baselines. Define company-level North Star metrics and multi-tier measurement strategies that proactively shape long-term product vision. Design analytical approaches to evaluate product changes and program impact, including in real-world settings where randomized experiments aren't possible. Conduct pre- and post-launch analysis to determine whether initiatives achieved intended outcomes.
**Turn data into decisions and dollars:** Architect end-to-end analytical solutions for complex, unstructured strategic questions, providing high-conviction recommendations to executive decision-makers. Develop comprehensive financial and business models linking product adoption to health system ROI, clinical outcomes, cost reduction, and value-based care performance. Partner with technical teams to improve instrumentation and data reliability.
**Represent the work internally and externally:** Synthesize complex analytical findings into compelling executive narratives for C-suite leaders and external healthcare partners. Represent product data strategy and ROI models directly in high-stakes C-suite customer and partner engagements. Serve as a principal analytics partner across Product, Engineering, Customer Success, and GTM, mentoring team members and establishing product analytics standards as the organization scales.
Hippocratic AI is building the world's first healthcare-only, safety-focused LLM designed to transform patient outcomes at global scale. The company was co-founded by CEO Munjal Shah and a team of physicians, hospital leaders, and AI pioneers from institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Recently raised $126M Series C at $3.5B valuation (total funding $404M) with backing from Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, and leading healthcare organizations.
Location: Menlo Park, CA office, five days per week.
**REQUIREMENTS**
Must-have:
- 6–8+ years of progressive experience in product analytics, product strategy, data analytics, business strategy, or management consulting within high-growth tech or healthcare environments
- Bachelor's degree in a quantitative or analytical discipline (Business, Economics, Finance, Statistics, Data Science, CS, Engineering, or related)
- Advanced SQL and demonstrated ability to independently analyze large, complex datasets; working Python proficiency preferred
- Track record of driving executive consensus and directly influencing company-wide product strategy, roadmaps, and capital allocation using data
- Experience with product analytics/BI tools (Looker, Tableau, Metabase, or similar)
- Ability to design analytical approaches to evaluate product changes and program impact—including in real-world settings where randomized experiments aren't possible
- Proven experience building sophisticated ROI models, business cases, or economic evaluations, presenting directly to VP and C-suite stakeholders
Nice-to-have:
- Experience in product analytics or strategy at a technology, healthcare technology, SaaS, or AI company
- Experience working with healthcare data, products, clinical workflows, or healthcare organizations
- Fluency in healthcare financial and value-based care concepts (e.g., HRRP/readmission economics, value-based care arrangements, risk-based contracting)
- Experience designing causal, cohort, funnel, retention, or behavioral analyses, especially where RCTs aren't feasible
- Experience presenting to Director/VP/C-suite or senior customer stakeholders
- Experience with AI, machine learning, or LLM-powered products
- Startup or high-growth experience where responsibilities extend beyond a narrowly defined analytics function
