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

Experience leading multiple engineering teams in a B2B SaaS environment, ideally at the Director or VP level
Strong background in AI/ML-driven products or platforms, that leverage LLMs, VLMs, and or agent-based systems
Exposure to infrastructure for ML systems (evaluation, observability, data pipelines)
Track record of delivering complex, ambiguous product initiatives
Experience working closely with product leadership to shape roadmaps
Ability to scale teams and develop managers
Bonus: experience in mechanical engineering domain (e.g. Manufacturing, CAD, Simulations, etc)

Director of Engineering – AI

Key skills