Product Manager, Intelligence

Heidi•San Francisco, CA

1d•Hybrid

About The Position

We are seeking a Product Manager to develop the next generation of clinical intelligence at Heidi. The role involves transforming the vast amount of structured health data generated from millions of clinical sessions weekly into products that enhance decision-making for clinicians, health systems, and Heidi itself. This position combines structured data products, AI-native experiences, and exploratory product discovery. The Product Manager will be responsible for how clinicians and organizations interact with their clinical data, including analytics, reporting, operational insights, and intelligent features that increase Heidi's value over time. Examples of impact include clinics understanding referral patterns, health systems observing cross-departmental adoption, and AI models improving through enhanced data.

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.
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.
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?

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.