Senior Leadership Technical Program Manager - GDC Systems, Tooling, Data, and AI Manager
Google · Oakland, US
Job description
The application window will be open until at least June 25, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
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
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Dallas, TX, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- 10 years of experience in Technical Program Management (TPgM) or product management, specifically within infrastructure, construction, or data center environments.
- 10 years of experiences managing the full software development lifecycle for enterprise-level internal tools or platform solutions for data center or hyperscaler organizational experience.
- 7 years of experience in leadership roles with/without direct reports.
Preferred qualifications:
- 10 years of experience managing cross-functional/team projects.
- Experience in evaluating and designing organizational structures that optimize for simple and intuitive workflows during periods of hyper-growth.
- Experience in business controls, financial systems, facilities operations, or supply chain optimization within a Capital Expenditure (CAPEX)-heavy industry.
- Deep understanding of how to implement AI-first internal solutions and manage complex data architectures to drive business automation.
- Exceptional communication skills with the ability to influence VP-level stakeholders and align technical roadmaps with broad corporate strategy.
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.
Google Data Centers (GDC) make up one of the largest and most powerful computing infrastructures on the planet. The team leader for the GDC Systems, Tooling, Data and AI team, will lead a high-impact, cross-functional team including four critical frontiers technology optimization and platform solutions, advanced data analytics, AI tool deployment, and computer vision for construction hardware innovation. By seamlessly bridging the gap between physical job-site execution and digital control platforms, you will empower GDC to scale rapidly while embedding risk management, financial oversight, and operational efficiency directly into the end to end construction lifecycle.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $240000 - $334000 (USD) + 25% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Scale and automating global AI infrastructure operations through innovative technical solutions and data-driven decision tools including software, innovative construction technology, and AI-first solutions.
- Optimize tooling solution. Conduct market research, solution vetting, business recommendation, and construction, design, finance, accounting ensure business Controls evolve alongside changing program requirements, construction innovation opportunities, and scale.
- Optimize execution and embedment within the tool. Proactive partnership with Construction teams to drive innovation and to ensure AI-first solutions and sound data management are priorities. Develop tooling architecture through systems design, testing, training, deployment, monitoring and maintenance.
- Lead and mentor a high-performing team of functional People Managers and Technical Program Managers (TPgMs), providing clear strategic direction, personalized career development, evaluate simple/intuitive organization design to support scaling.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
More Domain Specializations roles
View all →Senior Machine Learning Engineer - Data Recommendation (CapCut)
ByteDance · Oakland, US
Graduate AI & CX Engineer
Datacom Connect · Remote · Sydney
Engineering Manager, Operations Intelligence, gUP Engineering
Google · San Jose, US
Engineering Manager, Operations Intelligence, gUP Engineering
Google · Los Angeles, US
Senior Software Engineering Manager, Ecosystems and Integrations Databases
Google · San Jose, US
Senior Software Engineering Manager, Ecosystems and Integrations Databases
Google · Yonkers, US