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Salary
≈ $101k – $195k per year (Estimated)
Location
In office (Menlo Park)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 36 · for this role: 2
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 30, 2026. Hippocratic AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Hippocratic AI is a healthcare company that builds generative AI agents for non-diagnostic clinical tasks such as patient outreach, post-discharge follow-up and chronic care management. It sells to health systems, payers and pharmaceutical companies and reports more than 60 partners worldwide. The company was founded in 2023 and is headquartered in Palo Alto, California, United States.

Join Hippocratic AI as a Senior Product Data Analyst, where you'll shape product strategy and measure the impact of our healthcare AI products. You'll work closely with various teams to define performance criteria, establish metrics, and conduct analyses to evaluate product changes and program impact. Your insights will directly influence product decisions and prioritization.

Missions

  • Collaborate with cross-functional teams to define AI agent performance criteria and establish measurement frameworks that guide product strategy.
  • Design and implement analytical approaches to evaluate product changes and program impact, including conducting pre- and post-launch analysis.
  • Translate ambiguous product and business questions into structured analysis and clear recommendations that influence roadmap and prioritization.

Profil recherché

- The ideal candidate moves comfortably from an ambiguous business question to structured analysis to an executive-ready recommendation, and has the business judgment to know which questions matter most

- Demonstrated experience using data to influence product strategy, prioritization, or roadmap decisions

- 5+ years in product analytics, product strategy, data analytics, business strategy, or management consulting

- 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

- Experience with product analytics/BI tools (Looker, Tableau, Metabase, or similar)

- Design analytical approaches to evaluate product changes and program impact - including in real-world settings where randomized experiments aren't possible

- Experience building business cases, ROI analyses, or financial models, and presenting them to senior stakeholders

- 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 with AI, machine learning, or LLM-powered products

- Experience presenting to Director/VP/C-suite or senior customer stakeholders

- Experience designing causal, cohort, funnel, retention, or behavioral analyses, especially where RCTs aren't feasible

- Startup or high-growth experience where responsibilities extend beyond a narrowly defined analytics function

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