Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program or project management.
- Experience with manufacturing, supply chain management, or fulfillment planning and execution.
- Experience with sales and operations planning, integrated business planning.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience leading transformational programs that integrate physical supply into digital planning systems using ERP systems, Kinaxis, or SAP.
- Experience managing teams or organizational functions.
- Experience in management or leadership roles with the ability to present operational strategies to executives.
- Experience driving on-time delivery (OTD) and on-time in-full (OTIF) metrics in fast-paced, high-volume environments.
- Experience with SQL or other scripting languages with the ability to build custom dashboards to detect systemic risks within the fleet.
About the job
A 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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
The Reverse Supply Enablement (RSE) team, part of the Fleet Actions organization, leads the orchestration and optimization of returned ML, compute, and networking assets. The team manages the full lifecycle of decommissioned inventory, from disposition and data enablement to transformational programs and delivery, ensuring timely re-introduction into Google’s supply chain.
As the Program Manager, you will integrate manufacturing, logistics, and inventory pillars into a unified, process-driven idea. You will leverage operations knowledge from manufacturing environments to drive precision in production planning and master scheduling. By translating high-level demand signals into executable schedules, you will proactively manage capacity, material availability, and issues to ensure reliability and on-time delivery.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $159,000-$231,000 + 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
- Bridge the gap between operations and technical stakeholders by translating scaling strategies into concrete tooling requirements for ERP and automation roadmaps.
- Lead cross-organizational initiatives by synchronizing the goals of fleet life-cycle, manufacturing, and supply planning teams under a single cohesive operational idea.
- Partner with manufacturing, logistics, and inventory leadership to eliminate operational silos and develop data-backed scaling strategies that optimize material flow across the fleet lifecycle.
- Collaborate with NPI and engineering teams during design to define supply chain requirements, such as modularity and packaging, ensuring hardware is ready for scalable deployment.
- Analyze vast fleet datasets to identify systemic risks, converting insights into proposals that secure resource allocation and drive strategic alignment.
