Hippocratic AI builds the safest generative AI healthcare agent for health systems, payors, and pharma. Over 180 million clinical interactions across 1,000+ use cases with 60+ partners worldwide. Backed by General Catalyst, Kleiner Perkins and a16z.
About the role
Hippocratic AI is looking for a Lead Product Data Analyst to drive company-wide product strategy and quantify the clinical, operational, and financial impact of our healthcare AI platform. This isn't a dashboarding role — you will establish the foundational measurement and evaluation strategy for AI clinical agents at scale, including critic frameworks, safety baselines, and quality criteria across all product lines. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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)
- Design analytical approaches to evaluate product changes and program impact — including in real-world settings where randomized experiments aren't possible
More about this role
Hippocratic AI is looking for a Lead Product Data Analyst to drive company-wide product strategy and quantify the clinical, operational, and financial impact of our healthcare AI platform. This isn't a dashboarding role — you will establish the foundational measurement and evaluation strategy for AI clinical agents at scale, including critic frameworks, safety baselines, and quality criteria across all product lines.
You'll partner directly with Executive Leadership, Product, Engineering, Customer Success, and clinical leads to solve highly ambiguous strategic challenges: What major product investments should we prioritize? What structural levers drive or limit customer adoption? How do we quantify long-term outcomes for health systems and patients — and prove them with decision-grade data?
The ideal candidate navigates complex, high-stakes ambiguity with ease, translates high-level strategic directives into rigorous analytical programs, and possesses executive-level business judgment to influence product roadmaps and customer partnerships.
Partner across executive, clinical, and product leadership to establish company-wide AI agent evaluation frameworks, critic architectures, and...
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