Responsibilities
- 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
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
- 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
Nice to Have
- Experience in data products or platforms (metrics layers, data APIs, semantic modelling)
Additional Information
- We offer a generous $500 annual development budget and serious equity.
- True A-players progress extremely fast here.
- The nature of the scale-up game is demanding, but we don’t track hours or micromanage - you’re trusted to perform.
- We value mental health and adapt to your schedule.
- We operate on outcomes > inputs, not process theatre.
- We all take the bins out, metaphorically and literally.
