Dyad is a health-tech startup focused on improving healthcare delivery and efficiency through their AI platform. They are seeking an AI Product Manager to lead product work on AI features, ensuring that clinical and commercial problems are effectively translated into product tasks while collaborating closely with the AI Platform team.
Responsibilities:
- Frame AI problems in terms of user and clinical value, not just architecture or capability
- Define and prioritise the AI Platform roadmap in partnership with the CCPO and other stakeholders
- Ensure every AI feature has a clear intended use, acceptance criteria, and evaluation plan before it enters delivery
- Work with the BetterLetter PM and the Head of Regulatory so that clinical safety is a first-class part of the development process and medical-device requirements are adhered to
- Translate ambiguous clinical information problems into well-posed AI tasks
- Define what “good” looks like in terms the team can measure: precision and recall, hallucination behaviour, coverage, clinician trust, and practice coding preferences and standards for BetterLetter
- Commission and interpret evaluation work with the AI Platform team, and feed the results into the Commercial team
- Decide when an AI feature is ready to ship, expand, or pull back
- Break AI features into work that BetterLetter and AI Platform can jointly commit to, coordinating sequencing with the VP Engineering and BetterLetter PM so AI features integrate without special handling
- Ensure rollout, monitoring, and fallback behaviour are defined as part of each feature, not bolted on afterwards
- Run targeted discovery on AI workflows and model outputs with clinical and administrative users where AI-specific validation requires it
- Observe AI outputs in real customer contexts and feed error classes back to the AI Platform team