- Lead, coach, and scale a high-performing team of engineers and scientists.
- Own delivery of agentic AI systems from ambiguous customer need through prototype, production deployment, evaluation, and iteration.
- Stay technically hands-on through architecture reviews, build/buy decisions, agentic workflow design, eval strategy, and urgent customer-critical problem solving.
- Partner with the Director of Product, Director of UX, and customer-facing teams to translate customer workflows into clear technical roadmaps.
- Build operating mechanisms that help the team move fast without unnecessary process.
- Raise the engineering bar for reliability, observability, security, compliance, and deployment quality.
- Recruit, develop, and retain exceptional technical talent.
Machine Learning