Location
Sydney; Melbourne
Employment Type
Full time
Location Type
Remote
Department
Product & Design
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 became 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 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 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.
What you'll do
* 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
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
If you answer 'NO' to these questions, this may not be the job for you:
* 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?
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