Job Description

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 10 years of experience in program management.
  
• 7 years of experience in a leadership role with direct reports.

Preferred qualifications:

• Advanced degree in a technical field or equivalent practical experience.
• 10 years of experience managing cross-functional/team projects.
  
• Knowledge of technical principles including programming languages, data structures, and debugging.
• Knowledge in information technology, software, and digital asset development.
• Ability to define structural logic and balance technical trade-offs (e.g., performance, reliability, cost).
• Ability to drive results across an organization and build capabilities across various levels within the team.

About the job

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.

The team's mission is to optimize the global operations of assets and tooling which enables reliability and cost effectiveness at scale. Key areas of focus include financial reporting, unit-rate calculations and spend economics, contract processing and payments, as well as oversight of Google's tooling strategy related to Google's portfolio of infrastructure assets. The team will be responsible for establishing the overall strategy for Google's development and oversight of tools, processes and resources that are critical for the management of Google assets, including land, energy, and network.

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.

The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google

Responsibilities

• Develop and execute the roadmap and strategy for Google’s portfolio of first-party tools supporting the asset and infrastructure layer, including resource allocation.
• Lead a governance structure that drives executive decision-making via a digital assets council, and lead internal communications with first-party customers.
• Manage the portfolio of software and tooling programs. Prioritize work, manage resources, and ensure appropriate metrics and people are in place to drive high performance and organizational impact.
• Identify and implement change management opportunities to increase program velocity and overall impact across multiple teams.
• Use AI to drive productivity, creativity, and innovation across the team, creating conditions for continuous experimentation and learning.