The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. 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
Learn more about benefits at Google.
Lead the complete lifecycle of highly complex, cross-functional programs. Roadmap and strategy execution and portfolio planning and governance.
Exercise deep technical judgment in rapidly evolving and highly complex spaces to identify and drive critical architecture decisions and unblocking teams. Proactively identify and mitigate technical risks through critical stakeholders, plan complex new programs.
Advocate contributions across product areas and engineering groups. Stakeholder alignment and external strategic engagements.
Drive operational clarity and decisive resolution for programmatic risks, system bottlenecks.
Distill fast-paced execution and risk into structured, highly impactful comms. Drive a strong culture of quantitative impact and performance analysis.
Minimum qualifications
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
10 years of experience managing technical programs or software development.
7 years of experience in leadership roles with/without direct reports.
Experience managing enterprise resource planning (ERP) portfolios, specifically SAP landscapes, including modules.
Experience managing cross-functional technical programs (e.g., infrastructure scaling, platform migrations, or software development lifecycles).
Experience applying AI tools to program management.
Preferred qualifications
10 years of people management and leadership experience, managing, mentoring, and growing high-performing teams of technical program managers with some consulting background and program managing software development/software customization in a supply chain ecosystem.
Experience with cloud integrations and core technical infrastructure supply chain (data center, servers, network or AI/ML fleet).
Experience leading programs involving AI-assisted development pipelines, machine learning infrastructure, or agentic automation.
Deep understanding of software infrastructure, capability planning, and dependency management across complex organizational frameworks.
Ability to engage with engineering leads at an architectural level, evaluating technical trade-offs, and driving prioritization avoiding technical debt.
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
10 years of experience managing technical programs or software development.
7 years of experience in leadership roles with/without direct reports.
Experience managing enterprise resource planning (ERP) portfolios, specifically SAP landscapes, including modules.
Experience managing cross-functional technical programs (e.g., infrastructure scaling, platform migrations, or software development lifecycles).
Experience applying AI tools to program management.
