Product Manager, Intelligence

Heidi Health

Product Manager creating intelligent clinical data products at AI startup. Overseeing product strategy and delivering insights for healthcare systems.

Posted 5/12/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Own product strategy and roadmap for Heidi’s intelligence products, setting clear goals and being held accountable to achieving them
Build intelligent experiences that help clinicians and health systems unlock deeper understanding from their clinical data
Own reporting, analytics, and insight surfaces that make Heidi more valuable the longer a customer uses it
Scope and ship AI-native features that turn clinical data into proactive insights and decision tools
Match deep customer understanding with business goals to deliver products that drive retention and expansion
Prioritise across new intelligence capabilities, data quality, and the infrastructure that supports them
Work with AI and product teams so intelligence products stay ahead of what the underlying models can do
Work with engineering on architecture trade-offs at a technical level
Spot patterns that multiple teams are solving separately and consolidate them

Requirements

What you’ll need

BA/BS in a technical or analytical field (e.g. Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related)
4+ years in product, infrastructure, or technical roles, though we care more about what you’ve built than time served
A romantic streak about software and a belief that great design transforms someone’s day
Technical enough to hold your own with engineers, credible enough to present infrastructure trade-offs to leadership
Genuine curiosity about what breaks when software moves from development to production at scale
Experience in data products or platforms (metrics layers, data APIs, semantic modelling) is a genuine advantage, though the right person can learn the domain
You build with AI tools (Cursor, Claude Code, whatever ships faster) and can show what you’ve made with them
Fluency with core LLM concepts and systems (prompting, fine-tuning, embeddings, retrieval, evaluation) and the judgment to translate these into reliable, user-facing products
You default to building over requesting
Strong opinions, weakly held; you’ll shift the room when you’re right
Data fluency with diagnostic teeth; you can read usage data and distinguish a product problem from a data quality problem from a customer-specific issue.

Benefits

Comp & perks

healthcare/dental/vision benefits
401k with 3% company match
$500 annual development budget
serious equity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

product strategyroadmap developmentAI-native featuresdata qualitydata productsdata APIssemantic modellingcore LLM conceptspromptingfine-tuning

Soft Skills

customer understandingbusiness acumengenuine curiositystrong opinionsadaptabilitycommunicationcollaborationproblem-solvingdesign thinkinganalytical thinking