Program Manager III, PLM Systems Implementation, Cloud Supply Chain
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program or project management.
- Experience in driving process improvements and Product Lifecycle Management (PLM) systems.
- Experience in designing, architecting, and implementing enterprise AI, generative AI, or intelligent automation solutions.
- Experience developing or implementing current AI/ML technologies, frameworks, or applications.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience working with NPI or change management.
- Experience with end-to-end supply chain operations.
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.
As a Program Manager for AI-Enabled PLM Processes, you will lead the integration of AI/ML into core PLM workflows (e.g., BOM, ECO) within supply chain infrastructure in the Google AI and infrastructure organization. In this role, you will achieve touchless product realization by automating manual PLM tasks, focusing on pilot execution, process stability, data quality, and transforming product delivery through process, data, and technology.
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 $147,000-$216,000 + 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
- Analyze and document current PLM processes (e.g., part creation, Bill of Materials (BOM) management, change management) to pinpoint inefficiencies. Translate findings into concrete project proposals and solution requirements for AI application.
- Contribute to the strategic roadmap and own the tactical execution plan for AI-enabled PLM pilot projects and phased rollouts.
- Act as the primary liaison between technical teams and key business stakeholders to drive consensus on requirements and proactively manage technical execution risks.
- Partner with IT and data teams to ensure that our PLM data is clean, consistent, and ready for use in AI/ML models. Be responsible for the garbage in, garbage out principle.
- Build compelling business cases for AI pilot projects by quantifying the value (e.g., cost savings from reduced errors, faster time-to-market) and defining clear, measurable success metrics for tactical deliverables.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.