This position is no longer active. The listing is kept for reference.
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.
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.
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.
Discover exciting opportunities in biotechnology. Join innovative companies that are advancing healthcare and life sciences through cutting-edge research and development.
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