Deployed Product Manager, Health Systems

Howdy, we’re Heidi 👋

“The AI startup growing faster than Canva”

That’s what the Financial Review called us. In 18 months, we supported over 73 million patient visits and become one of the fastest-growing companies in the world.

We pivoted from broad healthcare AI to building Earth’s finest AI Care Partner. Today, we support over 2 million patient sessions weekly across 116 countries and over 110 languages. Hundreds of thousands of clinicians use Heidi to complete documentation.

Our mission is simple: strengthen the human connection at the heart of healthcare.

We’ve found product-market fit with individual clinicians through our freemium medical scribe, transforming unstructured clinical visits into structured text artefacts. Clinicians and organizations quite like it. Now, we embark upon consuming more than just documentation. Every new job a clinician delegates to Heidi makes patients feel more attended to, cleans up health system logjams, and lets clinicians be clinicians again.

That’s where you come in.

The role

We're looking for a Product Manager who owns a portfolio of health system accounts and builds product that works in their environments. You are accountable for both the product and the revenue it generates.

You will be embedded with health systems across the Americas, working alongside a commercial partner. You go on-site, observe clinical workflows, map what you see against Heidi's capabilities, and make build-vs-configure trade-offs. What you build for one account should make the next deployment faster; over time, deployment problems become configuration problems.

You will partner closely with Heidi's Americas commercial team and core engineering teams. You need the activation energy to break down doors with customers and the product instinct to know when a shortcut today will cost three deployments tomorrow.

We don't care about logos; the traditional insignia of competence. We'll evaluate senior well-credentialed candidates and young, hungry hopefuls alike.

What you’ll do

• Own product and revenue outcomes for a portfolio of Americas health system accounts

• Go on-site with customers, observe workflows, and produce specs for discrete capabilities that Heidi can build and bill for

• Make build-vs-configure trade-offs for every engagement

• Own sprint delivery for your accounts: prioritise work, unblock engineers, make daily trade-off decisions between speed and reusability

• Build extensible product so what you ship for one account becomes a configurable module for the next

• Partner with your commercial counterpart to prioritise across accounts, negotiate scope, and manage customer expectations

• Connect field signal back to core product: attend rituals, surface learnings, advocate for shared investment when you see the same pattern repeating

• Drive adoption within customer accounts until clinicians use it daily

• Navigate compliance and regulatory requirements as product constraints

If we’d worked together the last 6 weeks, you’d have:

• Spent two days on-site at a 200-physician health system, observed documentation workflows across three specialties, and came back with three discrete PRDs that changed a core team's sprint priorities

• Identified that an orthopaedic group's pre-charting workflow broke because of a non-standard EMR integration; assembled a fix from existing capabilities and shipped it without waiting for a platform release

• Written a deployment playbook from your first account that made the second engagement two weeks shorter

• Built a relationship with a chief medical informatics officer who now advocates for Heidi internally and opens doors to department heads you'd otherwise never reach

• Made a commercial trade-off with your partner: deprioritised a small account's feature request to accelerate a larger deal that proved a use case worth three future deployments

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 roles, though we care more about what you've shipped than years on the clock

• A romantic streak about software and a belief that great design transforms someone's day

• 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 produc