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Google
Google

Technical Program Manager II, Data Center Planning, Machine Learning at Google

RoleTPM
LevelMid Level
LocationKirkland, WA, United States
WorkOn-site
TypeFull-time
Posted3 days ago
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About the role

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XIn 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

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Austin, TX, USA; New York, NY, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 2 years of experience in program management.
  • Experience in one of the following planning areas (e.g., capacity planning, supply planning, demand planning, or data center planning).
  • Experience in data modeling and analysis.

Preferred qualifications:

  • 5 years of experience in capacity planning, strategic operations planning, data analytics, inventory optimization, or management/operations consulting.
  • 2 years of experience managing cross-functional or cross-team projects.
  • Experience collaborating and influencing stakeholders spanning across multiple organizations and different levels of responsibilities.
  • Demonstrated ability to take complex, ambiguous topics and create compelling narratives and present them to leadership.
  • Ability to shift between direct detailed analysis and big picture thinking and customizing communication based on the audience.
  • Excellent data analysis skills (e.g., Sheets, SQL).

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 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.

The Data Center Planning organization is responsible for identifying the most cost-efficient set of data centers to meet a 5-year forecast demand signal and for identifying and planning the Product Areas (PAs) who will occupy them. We drive alignment on what we should build, where, when, and who may occupy it through the Building Demand Plan (BDP) and Earmarks, an extensive set of optimization processes which provides demand justification and outlook for capital funding of data centers. This in turn provides signals to the downstream partner teams to identify new supply options and expansion of current facilities and assets. Within DCP, the Demand and Allocation Planning team is responsible for developing and maintaining our end-to-end power plan of record and continuously seeking to deliver further optimization through extensive scenario planning. We provide key upstream and downstream partners with chase signals, driving the acquisition of additional capacity, configuration of facilities to support the latest ML chips, and even where we may need to shape demand between geographies.

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 $138,000-$198,000 + 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

  • Offer clear, concise, and logical judgment and actionable recommendations to partners and executives in a timely manner regarding Google’s data center capacity needs.
  • Use data to identify planning solutions and provide advice to business leaders across the organization.
  • Codify, maintain, and update Google PAs’ technical and business requirements in partnership with Product Area Resource Managers (PARMs), and use them to influence execution and Google’s spend and capacity allocation decisions.
  • Implement new DC power planning initiatives, including automation with engineering support and cross-functional policy changes.
  • Work with the customer to manage and resolve all DC capacity related issues and escalations.

Required skills

Program management

Data center planning

Stakeholder coordination

Technical execution

Risk tracking

About Google

Kirkland

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