- Lead three teams: Applied ML, AutoReview, and Operator into a cohesive, high-performing product area
- Keep the pace while adding clarity, structure, and consistent execution to AI/ML teams
- Shape strategic roadmap and execute on highest priority projects with CTO and other leaders
- Own outcomes across multiple AI/ML product teams: execution, quality, reliability, and customer impact
- Help shape technical direction for AI/ML systems, including architecture and tooling decisions
- Improve how teams operate via effective planning, delivery, and use of AI tools in development
- Drive alignment across Product, Architecture, Cloud, and Security teams
- Lead and develop Engineering Managers and senior ICs
- Design team structure, hiring plans, and onboarding as the org scales
- Manage performance with clarity: goals, feedback, and growth
Artificial IntelligenceMachine Learning