Senior Technical Program Manager, Google Cloud Applied AI

About the role

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Responsibilities

• Lead the end-to-end lifecycle of complex AI programs, from strategic inception through delivery, driving continuous iterative refinement and alignment.
• Streamline cross-functional processes and design the AAI capacity planning lifecycle, prioritizing resource requests and resolving escalations to ensure program velocity.
• Drive operational clarity and decisive resolution for programmatic risks, bottlenecks, and dependencies within rapidly evolving and highly ambiguous environments.
• Strengthen visibility by delivering high-impact insights through a sophisticated blend of quantitative metrics and qualitative executive reporting.
• Act as a team multiplier by mentoring peer technical program managers and supporting teams across organizational boundaries to achieve shared milestones.

Requirements

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in program management.
• Experience with capacity management in cloud environment.

Preferred qualifications

• 10 years of experience managing complex cross-functional or cross-team projects.
• Experience integrating infrastructure readiness into global product launches and Go-to-Market strategies.
• Experience bridging technical constraints with business objectives for enterprise customers and partners.
• Expertise in designing and operationalizing organization-wide capacity planning and resource governance for AI/ML products, with a demonstrated ability to resolve complex infrastructure escalations.
• Expertise in cloud capacity forecasting and resource governance, ideally for high-demand GenAI workloads.

Benefits

• Health, dental, vision, life, disability insurance.
• Retirement Benefits: 401(k) with company match.
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment.
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance.
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks.
• Baby Bonding Leave: 18 weeks.
• Holidays: 13 paid days per year.

Pay

$240,000 - $334,000 (USD) + 25% bonus target + equity + benefits

Schedule

Full-time