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I’m looking for a senior product, research-product, agent-platform, or founding-product role where I can combine product origination, technical independence, and operating judgment on systems people need to trust. Based in Chicago; remote works, and relocation is on the table for the right role.

NextConsensus tracks when medical evidence moves ahead of institutional guidelines; Ambit manages agent permissions and capabilities; Stims delivers high-performance browser graphics.

Frontier labs and agent platforms

I work on what has to exist once the model is capable. How an agent gets its tools and permissions. Whether anyone can see what it did afterward. What happens when it's wrong, and who finds out. High-stakes organizations need those answers before they let software do real work.

Healthcare AI product leadership

I've spent most of my career building healthcare products. The companies I'm looking for have a model that works and an unsettled question about where it sits in clinical work: what a clinician will trust, what a hospital can implement, and where the line falls between human review and standardization.

Zero-to-one technical products

The capability exists and the product doesn't. I work between engineering, customers, and leadership until there is a boundary everyone can build against — what this is, who it's for, and what it refuses to do.

I work best where the product category is still emerging — formulating the technical object that doesn't yet exist, building it far enough to test whether it works, and bringing senior product judgment to what to build next.

The recurring job is working out which layer a problem actually sits in — workflow, permissions, product architecture, implementation, or business model — and turning that into a direction a team can build against. It is rarely the layer the request names.

  • Bridging the gap between an impressive AI demo and reliable day-to-day production workflows.
  • Standardizing bespoke, high-touch customer deployments into a scalable core product.
  • Unifying fragmented AI features into a clear, defensible product strategy.
  • Guiding technical products through complex hospital IT, security, and clinical governance gates.