Senior Leadership Technical Program Manager

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

As a Senior Technical Program Manager (TPgM), ASCII Portfolio, you will lead ASCII's top priority technical programs that deliver AI transformation and increase Googler velocity, deliver foundational infrastructure, and drive security, compliance, and governance.

Leveraging your deep enterprise systems expertise, you will manage platforms like SAP alongside engineering first-party systems to create a seamlessly integrated ecosystem. A key focus of this role includes building and deploying AI systems to automate enterprise and business process workflows.

You will navigate deep ambiguity, drive long-term technical strategy, and coordinate complex execution across a broad ecosystem. You will demonstrate exceptional technical judgment, strong communication skills, and a proven track record of driving operational excellence and scale across the complete software development lifecycle.

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.

Responsibilities

• 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.