Lead the ML platform and infrastructure (data, evaluation, compute). Own roadmap, build and scale distributed engineering teams, partner with Research and Applied ML to prioritize work, remain technically hands-on, and report to the CTO.

The Data Program Manager bridges research and data operations, managing vendor relationships and ensuring effective data acquisition for AI projects while also tracking quality metrics and prioritizing stakeholder needs.

Manage delivery and execution of R&D and commercial partnerships: own timelines, milestones, onboarding, documentation, and cross-team coordination. Act as primary operational contact, resolve bottlenecks, ensure security diligence, and translate research blockers into actionable updates for leadership.