Develop Health

Head of AI

Develop Health

full-time

Posted on:

Location Type: Hybrid

Location: Menlo Park • California • United States

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Job Level

Lead

About the role

  • Take ownership of our AI systems end-to-end—models, prompts, evaluation pipelines, agent architectures—and identify the highest-leverage improvements.
  • Build and refine evaluation frameworks that rigorously measure model accuracy, reliability, and real-world clinical value.
  • Lead and grow the AI team while shipping code daily yourself—a player-coach position with heavy emphasis on building.
  • Define the applied AI roadmap with the CTO—where we invest in fine-tuning vs. prompting, where we build vs. buy, and how we stay ahead of a fast-moving field.
  • Deploy AI improvements into production: design APIs, optimize inference, and build the observability to know when things break.
  • Define and execute the company's AI strategy—how we use AI across product, operations, and internal tooling to maintain our competitive edge.
  • Scale our AI infrastructure to support 100x transaction volume while maintaining the reliability that healthcare demands.
  • Build the systems for continuous model improvement informed by production feedback and clinical outcomes.
  • Grow and develop the AI team—hire new engineers, mentor existing team members, and raise the bar on AI best practices across the engineering org.

Requirements

  • 5+ years of experience in machine learning and AI, with a strong data science or ML background and deep experience applying AI to complex, real-world problems in production, not just research or prototypes.
  • A track record of squeezing performance out of AI systems in messy domains - you know how to evaluate, iterate, and ship models that actually work under real constraints.
  • Experience leading a team of engineers to design and deliver complex AI products end-to-end.
  • A strong point of view on where applied AI is heading and how to use that to build competitive advantage—you follow the research and have opinions.
  • Availability to work on-site in Menlo Park at least three days per week (Tuesday–Thursday).
Benefits
  • Competitive salary + meaningful equity in a company growing 10x year-over-year.
  • Health, dental, and vision coverage; flexible PTO.
  • High-end workstation & tooling budget.
  • The opportunity to define the AI strategy for a company that's already using AI to improve access to care for hundreds of thousands of patients.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningAI systemsmodel evaluationAPI designinference optimizationcontinuous model improvementdata sciencemodel accuracyagent architecturesevaluation frameworks
Soft Skills
leadershipteam developmentmentoringstrategic thinkingcommunicationproblem-solvingcollaborationownershipadaptabilitycoaching