Minimum qualifications:- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience driving global technical infrastructure delivery, network logistics, or supply chain program management.
- Experience managing technical vendors, original equipment manufacturers (OEMs), or extended workforce, including leading quarterly business reviews (QBRs) and enforcing SLA/SLO compliance.
- Experience utilizing data analytics, supply chain metrics (e.g., On-Time Delivery, safety stock levels), and visualization tools to optimize processes and drive data-driven decisions.
Preferred qualifications:- Certifications in PMP, Agile/Scrum, and foundational networking knowledge (CCNA, CCNP, or equivalent understanding of network architecture and hardware components).
- 8 years of experience managing cross-functional or cross-team projects.
- Proven track record of planning, designing, and implementing supply chain transformation or fulfillment automation programs at a global scale.
- Experience applying operations, SRE methodologies, or Six Sigma/Lean principles to logistics processes, with a sharp focus on root cause analysis and defect-free delivery.
- Exceptional ability to operate as a highly integrated member of a cross-functional team, bridging the gap between technical engineers (Network/Software) and non-technical business or operations stakeholders.
- Ability to quickly grasp emerging network technologies and technical subjects, translating product lifecycle demands into highly predictable material readiness and global deployment strategies.
About the jobA problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
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: $192000 - $279000 (USD) 20% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities - Own large-scale network delivery logistics, supply chain automation programs, and global hardware deployment releases.
- Leverage automated tracking and demand-signaling software to optimize inventory and streamline global fulfillment workflows.
- Act as the primary lead for OEMs and third-party vendors, enforcing a tight 30-day delivery Service Level Objective (SLO) and orchestrating complex, non-standard escalations.
- Establish cross-functional dashboards tracking On-Time Delivery (OTD) and safety stock levels, utilizing data-driven root cause analysis to eliminate fulfillment defects.
- Collaborate with Network, Software, and NOSCO teams to integrate hardware availability with operational needs and eliminate deployment stalls.
