Google

Runs Search and YouTube and builds Gemini AI

Technical Program Manager - Datacenter Power Efficiency for ML Capacity

Program ManagementConfirmed live in the last 24 hours

Full-time

About the Job

Requirements

A bachelor's degree in a technical field, or equivalent practical experience.
Five years of experience in program management.
Five years of experience managing cross-functional or cross-team projects is preferred.

Responsibilities

Lead cross-functional Data Center system efficiency projects using software actuation, tooling, data analytics, and statistical regression to lower Total Cost of Ownership.
Run concurrent projects through the full Product Life Cycle, managing scope, resources, schedule, and budget from inception to completion.
Develop technical requirements and execution plans from ambiguous goals, collaborating with research and development, engineering, operations, and technical infrastructure partners.
Advocate long-term power efficiency initiatives by driving planning, engagement, and prioritization with key software and hardware system stakeholders.
Collect and analyze site data to deliver consistent business case analyses, generate stakeholder reports, and support regular business reviews.
Lead exploration, development, pilot, validation, deployment, and growth of new products that enable global data center efficiency and optimization.
Apply data center systems vertical expertise to navigate cross-organizational structures from hardware through the software stack and resolve priorities.
Drive and review risk and reward profiles using data modeling and analytics for data center-based applications.
Identify, articulate, and resolve risk mitigation techniques while managing substantial resource allocation in a real-time environment.
Secure buy-in and work with partner teams to obtain resources and policies to mitigate risk.
Plan requirements, identify risks, manage project schedules, and communicate with cross-functional partners.
Explain analyses and recommendations to executives and discuss technical tradeoffs in product development with engineers.

Lead cross-functional Data Center (DC) system efficiency projects using software actuation, tooling, data analytics, and statistical regression to lower Total Cost of Ownership.
Run concurrent projects through the full Product Life Cycle (PLC), managing scope, resources, schedule, and budget from inception to completion.
Develop technical requirements and execution plans from ambiguous goals, collaborating with R&D, engineering, operations, and technical infrastructure partners.
Advocate long-term power efficiency initiatives by driving planning, engagement, and prioritization with key software and hardware system stakeholders.
Collect and analyze site data to deliver consistent business case analyses, generate stakeholder reports, and support regular business reviews.

Minimum qualifications:

Bachelor's degree in a technical field, or equivalent practical experience.
5 years of experience in program management.

Preferred qualifications:

5 years of experience managing cross-functional or cross-team projects.

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 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.

As a Technical Program Manager, Datacenter Efficiency Products in PDI (Product Development and Insertion), you will lead exploration, development, pilot, validation, deployment, and growth of new products that enable global data centers efficiency and optimization. You will employ Data Center Systems verticals understanding and capability to navigate cross organizational structure from hardware to software stack allowing for effective priority resolution. You will drive and review risk and reward profiles with understanding and experience of data modeling and analytics for data center based applications. You will be responsible to hunt, articulate and resolve various risk mitigation techniques in managing large amounts of resource allocation in a real time environment. Candidates should be able to secure buy-in and work with partner teams to secure resources/policy to mitigate risk.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.

Bachelor's degree in a technical field, or equivalent practical experience.
5 years of experience in program management.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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