Develop and execute end-to-end program strategies for complex ML infrastructure, covering scope, resource planning, risk management, and roadmap delivery. Partner with cross-functional engineering, product, and research teams to define technical milestones and prioritize key platform capabilities. Drive execution across workstreams, proactively identifying dependencies, mitigating risks, and maintaining alignment on schedules and critical path items.
Provide clear, concise updates and strategic recommendations to leadership and executive stakeholders to align on technical priorities and decisions. Ensure production readiness and quality standards for hardware/software deployments, supporting large-scale developer adoption and workload efficiency.
Job description provided by Google.
View the original posting
