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About the role
Key responsibilities & impact- Own the AI roadmap.
- Set direction across our AI surfaces: voice and computer-use agents that work payers and provider portals, email triage, and the models that extract and structure data from clinical and legal documents.
- Push AI deeper.
- Take our systems from assisting people, to making decisions, to running whole service requests, and into licensing, enrollment, monitoring, and the customer-facing product.
- Make it production-grade.
- Build the evals, observability, and human-in-the-loop systems that let us ship models and agents we'll stand behind and back with guarantees.
- Lead the data platform.
- Own the pipelines, datasets, and tooling behind the models. Our real-world data is our biggest advantage, so make it fast to use and trustworthy to build on.
- Build the org.
- Hire and grow managers and senior engineers, set the structure, and hold the bar as we scale. Stay close enough to the work to earn their trust in a design review.
Requirements
What you’ll need- 10+ years across engineering, ML, or data science, with experience leading a multi-team org through other managers.
- You've run a mix of disciplines, including engineering, ML, data science, and data labeling or human-in-the-loop operations.
- You've put applied ML and LLM systems into production, with the teams to back them, well beyond prototypes and research.
- You understand LLMs, agents, retrieval, and structured extraction well enough to set direction, and you know what production reliability actually takes.
- You're grounded in the data and infrastructure side: pipelines, orchestration, inference, and the eval and observability tooling that supports ML.
- You weigh speed, cost, quality, and risk, and you take accuracy seriously where mistakes have real consequences.
Benefits
Comp & perks- Health insurance
- 401(k) plan
- Flexible work hours
- Professional development opportunities
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata sciencedata labelinghuman-in-the-loop operationslarge language modelsproduction reliabilitydata pipelinesorchestrationinferenceobservability
Soft Skills
leadershiptrust buildingorganizational skillscommunicationteam management