Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Minimum qualifications:
- Bachelor's degree in a mechanical or technical field, or equivalent practical experience.
- 2 years of experience in technical program management.
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Experience with product field failure resolution and failure analysis.
- Experience in manufacturing (e.g., setup of product quality plan or statistical analysis).
Preferred qualifications:
- Six Sigma Blackbelt, Auditor Certifications or equivalent certification/experience.
- 4 years of experience in data analysis, report creation, statistical modeling, and forecasting.
- Prior experience working with, or implementing, industry standards such as ASTM, ASME, EN, IPC, or local equivalents.
- Proficiency in design of experiments, statistical analysis and process control, and familiarity with application of statistical analysis tools such as Minitab/ANOVA.
- Knowledge of mechanical standards, mechanical and infrastructure equipment applied to mission critical operations or data centers (EN, ISO, IATF, APQP)
- Ability to travel up to 75% (20-50% likely), as needed.
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 projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.
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 team 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.
Responsibilities
- Build and maintain strong relationships with cooling and thermal system equipment suppliers, ensuring proactive quality management throughout the product lifecycle.
- Lead in-depth power distribution failure investigations, identifying true root causes and implementing systemic corrective actions to prevent recurrence.
- Analyze production metrics, test results, quality audits, and field performance data to establish statistical links and drive proactive quality improvements. Validate supplier build and test processes against Google requirements and relevant industry standards (e.g., PPAP) to ensure compliance and product lifecycle integrity.
- Conduct supplier audits and inspections, identifying areas for improvement in variability reduction, predictability, lead time optimization, and output quality enhancement.
- Partner with suppliers and internal SMEs to resolve complex product quality and process issues across the full product lifecycle. Manage quality improvement projects involving both internal and external stakeholders, ensuring timely delivery and measurable results.
