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Heidihealth.Com.Au

Product Manager, Intelligence

San Francisco; New YorkHybrid · United States
FullTime · Product
POSTED 22 SEPTVERIFIED JUST NOW
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Pay · posted
AUD 160k–230k
Open for
42d
since 22 Sept
Hiring · 30d
68
−4 net · open roles

We’re Heidi.

We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties.

Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s capacity for care and strengthen the human connection at its heart.

We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again.

We’ve grown annual recurring revenue from $1 million to $50 million in two years.

To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund.

If you want to join us in doing work worth shipping, jump 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

Source · Heidihealth.Com.AuFirst seen 2 NovOriginal ↗