Senior AI/ML Program Lead for Launch & Reliability

Google; Mountain View (CA); On-site; USD 240,000 - 333,000; Full time

Job summary

Google in Mountain View is seeking a Senior Technical Program Manager to lead complex, multi-disciplinary engineering projects across AI/ML initiatives. You’ll plan requirements with internal customers and shepherd programs through the full lifecycle, balancing technical trade-offs and delivery schedules.

You will drive launch readiness, capacity management for ML accelerators and compute, and partner with SRE and product teams to ensure reliable, scalable deployments at Google scale.

Qualifications

• Bachelor's degree in a a technical field, or equivalent practical experience.
• 10 years of experience in program management.
• Experience with artificial intelligence/machine learning projects, tools, or infrastructure.
• Experience with capacity management in a cloud environment.
• Experience in Technical Program Management, Partner Management, and Release and Launch Readiness.

Responsibilities

• Lead cross-functional launch readiness for Labs and GDM dependencies.
• Partner with engineering to enforce operational requirements like SLOs and failover architectures.
• Manage the capacity life-cycle for machine learning accelerators and traditional compute.
• Collaborate with SRE and Product engineers to remove bottlenecks by building tooling.
• Provide senior leadership with data-driven launch updates and risk assessments.

Skills

PM leadership

AI/ML projects

Cloud capacity mgmt

Technical PM

Partner management

Release readiness

Cross-functional

Education

Bachelor's degree in a technical field or equivalent practical experience

Master's degree in Computer Science or related field

Job description

Google in Mountain View is seeking a Senior Technical Program Manager to lead complex, multi-disciplinary engineering projects across AI/ML initiatives. You’ll plan requirements with internal customers and shepherd programs through the full lifecycle, balancing technical trade-offs and delivery schedules.

You will drive launch readiness, capacity management for ML accelerators and compute, and partner with SRE and product teams to ensure reliable, scalable deployments at Google scale.