Product Manager, Intelligence

Heidi

2d•Onsite

About The Position

We’re looking for a Product Manager to build the next generation of clinical intelligence at Heidi. Millions of clinical sessions per week generate an extraordinary volume of structured health data. Your job is to turn that into products that help clinicians, health systems, and Heidi itself make better decisions. This role blends structured data products, AI-native experiences, and exploratory product discovery. You will own how clinicians and organisations interact with their clinical data: analytics, reporting, operational insights, and the intelligent surfaces that make Heidi more valuable the more it’s used. When a clinic understands its referral patterns, when a health system sees adoption across departments, when an AI model gets smarter because the data underneath it improved: that’s your work. This role will be based in San Francisco. We don’t care about logos; the traditional insignia of competence. We’ll evaluate senior well-credentialed candidates and young, hungry hopefuls alike.

Requirements

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
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
Are you an execution powerhouse?
Have you shipped something this week?
Are you good at games?
Did you have a weird teenage hobby?
Are you able to execute without a legion of data analysts, product marketers, and research coordinators at your beck and call?
Does the prospect of making health systems a lot nicer make you feel fuzzy inside?

Nice To Haves

Experience in data products or platforms (metrics layers, data APIs, semantic modelling) is a genuine advantage, though the right person can learn the domain

Responsibilities

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