Product Manager, Intelligence

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🕒 April 9

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Heidi Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

⚡ Productivity

Artificial Intelligence • Healthcare Insurance • Productivity

Heidi Health is an AI-powered medical scribe platform designed for clinicians in various healthcare settings. It helps decrease the time spent on administrative tasks like note-taking, insurance processing, and result finding, thereby allowing clinicians to focus more on patient care. The platform supports multiple types of healthcare professionals including psychologists, dietitians, vets, medical doctors, nurses, and others, leveraging artificial intelligence to enhance efficiency and accuracy in clinical documentation. The goal is to provide an intuitive, efficient tool that integrates seamlessly with healthcare workflows to improve the quality of care and clinician satisfaction. It emphasizes privacy and security, featuring hospital-grade standards to protect sensitive health information.

📋 Description

• 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 • 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