Free account to apply · application completed on Google
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.
Amazon · Huesca, Aragon
Amazon · Hong Kong Island, Hong Kong
Amazon · Tokyo, Tokyo
