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X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- 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
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications: - Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- Experience working with Cloud infrastructure, API design, system architecture, and software development lifecycles.
Preferred qualifications: - 10 years of experience managing complex cross-functional or cross-team projects.
- Experience with generative AI, including Agent Assist, evaluations, and AI agent frameworks.
- Experience creating executive-level reports and presenting technical program status to leadership.
- Experience influencing stakeholders without direct authority to drive technical strategies.
- Ability to thrive in ambiguous environments and manage change effectively.
About the jobAs 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.
Our mission is to transform cloud operations by placing Gemini at the center of the Google Cloud experience. We provide intelligent AI assistance and autonomous workflows to manage the application lifecycle. Gemini Cloud Assist accelerates application design, simplifies DevOps operations, and offers Financial Operations (FinOps) insights to optimize costs.
As a Technical Program Manager Lead, you will drive the strategic execution of our next-generation agentic ecosystem. You will orchestrate complex, multi-organizational workstreams, leveraging deep technical judgment in agent frameworks, evaluations, and emerging AI standards to deliver enterprise-grade AI. Sit at the intersection of engineering and strategy, you will translate technical execution into executive insights, shape go-to-market strategies, and lead migrations to define the future of the autonomous cloud.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $240000 - $333000 (USD) 25% bonus target equity benefits
Responsibilities - Lead, manage core work streams across centrally and partner-developed agents, capability roadmaps, quality loops, and multi-surface entry points including support.
- Guide technical standards across agent development, identity, emerging protocols (Skills, MCP, A2A), and seamless integration with Agent Cloud and Gemini Enterprise.
- Lead cross-organizational contributions spanning agent frameworks, evaluation suites, Model Context Protocol (MCP) tools, and first-party/third-party (1P/3P) product entry points.
- Distill complex execution into executive reporting, mitigating risks while shaping go-to-market strategies and managing architectural migrations and deprecations.
- Execute the technical vision and roadmap for Cloud autonomous agents, aligning and adopting bleeding-edge infrastructure architectures.
