Lead Technical Product Manager

The role:

This role is about taking our platform to the next level: moving toward sophisticated, predictive, and learning-based decisioning, with a clear path toward becoming a regulated medical device.

This is a senior, high-impact individual contributor (IC) role for someone who combines deep system understanding with clinical product judgement and real experience deploying AI/ML. You are AI-enabled, well-resourced, and measure your success by what you ship and move, rather than the size of your team. You move comfortably between high-level strategy and engineering-grade specifics.

You'll be:

• Lead the product direction and roadmap for the decision platform, from long-term strategy down to the detail of how a rule actually works.

• Decide which features and capabilities create the most scalable value, balancing near-term execution with strategic bets.

• Establish and systematically track the success metrics for the platform.

• Set the direction for how the platform uses AI and machine learning, embedding predictive and supervised learning systems into production.

• Build self-learning systems so the platform continuously improves on its historical recommendations while keeping safety and explainability central.

• Read and reason about system architecture. Act as a credible equal in technical debates with engineers, making sharp trade-offs between speed-to-value and long-term scalability.

• Help shape the product side of the platform's regulatory direction, including the decision to build it as Software/AI as a Medical Device (SaMD).

• Work fluently with sensitive patient data, partnering with clinical and quality colleagues to ensure safety and patient trust fundamentally shape the roadmap.

• Proactively show engineering, clinical, design, and other product teams what the platform makes possible, while staying pragmatic about what they can absorb today.

You'll need:

• A proven track record as a Senior or Principal Technical PM on complex platform, infrastructure, or systems products.

• Hands-on experience deploying machine learning in production, specifically supervised learning or predictive systems.

• Experience deploying or regulating software/AI as a medical device (SaMD), or working within closely comparable regulated frameworks.

• Direct experience working with rules engines, knowledge graphs, or AI-driven decisioning systems.

• Experience in clinical, healthcare, or adjacent domains handling sensitive, highly detailed user data.

• Experience operating as a high-velocity individual contributor who leverages AI tools to cover ground that would traditionally require multiple people.

It's a bonus if you have:

• Experience scaling platform products across multiple international regulatory frameworks.

• Prior experience working directly as a data scientist or software engineer before transitioning into technical product management.

• Experience dealing with complex biological or personalized health data points.