Product Manager, Models

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 to own the AI models that power everything Heidi does. Someone who thinks platform teams exist to make product teams faster.

You will own Heidi's models platform: evaluation pipelines, fine-tuning infrastructure, model routing, and safety systems. Hundreds of thousands of clinicians across 116 countries use these models in clinical settings every week. You'll work with engineers and researchers, partner with product PMs and clinical safety, and stay close enough to product teams that you know what they need before they file a ticket.

You will report into Product leadership. This is a platform role. Every user-facing product at Heidi depends on what your team builds.

This role will be based in either our Sydney or Melbourne office.

We don't care about logos; the traditional insignia of competence. We'll evaluate senior well-credentialed candidates and young, hungry hopefuls alike. If you're an engineer who's been living inside these models and wants to move up a layer of abstraction into product, we want to hear from you.

What you'll do:

• Own product strategy and roadmap for Heidi's models platform (evaluation, safety, model routing, fine-tuning infrastructure), setting clear goals and being held accountable to achieving them

• Prioritise your team's work across enablement requests, model safety and quality, and bets on new capabilities

• Figure out where product teams get stuck on your models and fix the platform so they don't

• Build eval tooling and fine-tuning workflows that your engineers and product teams can actually use in clinical settings

• Decide what to improve next by reading clinician feedback, model quality signals, and what product teams are asking for

• Allocate engineering capacity across product teams who all want more than you can give, and tell them clearly what you're deferring

• Work with your engineers on eval design, fine-tuning trade-offs, and model architecture decisions at a technical level

• Set model quality and safety targets grounded in clinical outcomes (did the note capture the right diagnosis? did the referral letter contain the right history?)

• Spot infrastructure that two product teams are building separately and consolidate it

• Watch foundation model developments and decide when to rip up your roadmap

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

• Defined an evaluation framework for model quality that your engineers actually use

• Made a clear ship/hold decision on a model update under pressure from a product team, and communicated the rationale to leadership

• Identified overlapping model capability requests across two product teams and proposed shared infrastructure

• Built a 90-day roadmap that balances enablement requests with your own priorities for model quality

• Had a productive disagreement with a senior engineer about prioritisation and reached a resolution you both committed to

What we're looking for:

• 4+ years working on AI platform, infrastructure, or model-adjacent products, though we care more about what you've built than time served

• Technical depth on model evaluation, fine-tuning, and production AI systems. You've designed eval suites, debugged model regressions, and understand what makes models fail in production.

• Genuine curiosity about what models get wrong in clinical settings and why

• Technical enough to hold your own with your engineers, credible enough to present safety trade-offs to leadership

• You use AI tools to do your own work, not just manage people who do

• Strong opinions, weakly held. You'll shift the room when you're right.

• Willingness to update your views when the technology shifts, which it does roughly quarterly.

• Data fluency with diagnostic teeth - can you read evaluation results and distinguish a real regression from noise? Can you design an eval that catches the thing your current suite misses?

If you answer 'NO' to these questions, this may not be the job for you:

• Are you an execution powerhouse?

• Have you worked on AI products where model quality directly affected end users?

• Can you allocate engineering resources across competing priorities and defend the split?

• Are you comfortable making decisions with incomplete information, then revising them when the picture changes?

• 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 re-energising our health systems make you feel fuzzy inside?

1. Build to Last

We design for safety and reliability so clinicians, patients, and our teams can trust what we build every day.

2. Own Your Practice

Ideas rise on merit, not title, and everyone shares responsibility for the standards we set together.

3. Move Fast, Stay Steady

We move quickly but never at the cost of trust. Progress only matters if people can depend on what we make.

4. Make Others Better

Honest feedback, steady support, and shared growth keep our teams improving together.

Why you will flourish with us

• Flexible hybrid working environment, with 3 days in the office.

• A generous personal development budget of $500 per annum

• Learn from some of the best engineers and creatives, joining a diverse team

• Become an owner, with shares (equity) in the company, if Heidi wins, we all win

• The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups

• If you have an impact quickly, the opportunity to fast track your startup career!

Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and welcome all applicants as we're committed to promoting a culture of opportunity for all.