An enterprise product manager usually owns a platform capability end to end, balancing shared features that serve many large customers with tailored work for key accounts. A strong candidate brings discovery with enterprise buyers, clear prioritisation across competing requests, and close work with engineering and design to ship reliably. Here that means shaping how an AI scribe fits into clinical software used by large health organisations.
How it fits the AI era
AI shifts the product manager’s work toward judging model behaviour, data quality and trust in clinical settings, while the human side stays in understanding workflows, setting priorities and agreeing tradeoffs with customers. The role sits where AI output meets real care delivery, so clear thinking about risk and usefulness matters more than ever.
How it builds AI experience
This role builds hands on experience with AI features in health software, from how scribe output is evaluated to how it is adopted by large organisations. A candidate can strengthen this by learning how clinical AI products are tested and governed, and by practising product decisions around accuracy, privacy and clinician trust.
Worth showing
- Clinical workflow understanding
- Prioritisation across accounts
- Working with engineering teams
This is our own read, written from the employer’s posting and the company’s Spotlight. The employer’s posting is the source of truth for the role.
About Lyrebird Health
An AI scribe built directly into Australia’s most-used GP software, auto-filling care plans from the consultation rather than just writing a note.
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