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 projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.
Google’s global infrastructure is the foundation for our AI innovation, powering the world’s most advanced computing services at scale.
As a Program Manager in central product operations, you will bridge our AI strategic goals with hardware development and supply chain execution. You will drive cross-organizational programs, providing strategic guidance and integrating AI-driven workflows to enhance efficiency and scale. By partnering closely with engineering and product teams, you will translate ambiguous objectives into measurable outcomes, ensuring the successful delivery of next-generation AI hardware.
This role follows our hybrid approach with 3 days in our Sunnyvale, CA office. For those not currently local to the Bay Area, relocation will be required
Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. Our Mechanical Product Design Engineering Team members work cross-functionally to design, build, and deploy the latest technology to support the needs of compute, storage, networking, and machine learning hardware.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
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benefits at Google.
Responsibilities
- Adopt and advocate AI-driven tools to evaluate data from multiple sources, enabling predictive analytics for on-time delivery (OTD) and operational performance.
- Scope, phase, and lead complex, ambiguous cross-functional challenges. Translate complex program goals into actionable roadmaps, OKRs, and milestones, ensuring alignment across engineering, product operations, and CSCO leadership.
- Identify high-friction points in the end-to-end supply chain and design scalable frameworks or AI-assisted workflows to improve decision velocity and operational efficiency.
- Cultivate deep partnerships with cross functional teams. Act as a central point of influence to mobilize resources, remove barriers, and drive alignment on key technical decisions.
- Serve as a subject matter expert and mentor to junior program managers. Foster a culture of AI-First problem-solving, sharing best practices for prompt engineering and agentic workflows to elevate the technical capabilities of the broader team.
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience in project management for Hardware New Product Introduction (NPI).
- Experience in supply chain operations and procurement within a hardware manufacturing environment.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience in project management to launch Hardware New Product Introduction process for complex electronics (e.g., PCBA, server, racks, L6, L10 and L11 manufacturing).
- Knowledge of typical hardware Bill of Materials (BOM), assembly and test processes, project requirements and schedules.