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Heidi Health

It's time to SEE the GP

Product Manager, Intelligence

Product ManagerProduct ManagerFull TimeRemoteSeniorTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

Australia

Posted

98 days ago

Salary

0

Seniority

Senior

Bachelor Degree4 yrs expEnglish

Job Description

Product Manager, Intelligence

Heidi Health

• 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

Job 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.

Benefits

  • Generous $500 annual development budget
  • Serious equity

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