Senior Product Manager, Compute Strategy and Planning

Google; Sunnyvale (CA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time 40 hours/year (Seattle 69)

Job summary

Google LLC is seeking a senior Product Manager for Cloud AI capacity planning and infrastructure forecasting. You will own the product strategy, align demand with supply across data centers, and drive the allocation model for constrained capacity.

This role partners with Finance, Engineering, and SRE to deliver scalable, data-driven decisions. You will shape forecasting, model economics, and cross-team execution for multi-year infrastructure investments across regional centers and third-party

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 8 years of product management experience with a focus on infrastructure strategy or capacity planning.
• Experience partnering with Finance and Engineering leadership on multi-year infrastructure investment decisions.
• Experience with inference and infrastructure components.
• Experience building forecasting, planning, or resource-allocation system.

Responsibilities

• Own the product strategy and roadmap for compute demand planning, supply planning, and allocation across Cloud AI.
• Establish an 18–24 month forward-looking demand signal segmented by customer, product surface, model family, consumption type, location, and capacity tranche.
• Define and standardize translation functions that convert business units into infrastructure units, ensuring changes propagate across layers.
• Partner with Infrastructure, SRE, and Finance to create a near-real-time view of supply across data centers.
• Build the allocation and prioritization model governing constrained capacity and drive scenario analysis ahead of model launches.

Skills

8 years of product management

Infrastructure strategy

Capacity planning

Forecasting systems

Education

Bachelor's degree in a technical field

Master's degree or MBA in technical/quantitative field

Job description

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.

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; Kirkland, WA, USA; San Francisco, CA, USA.

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in product management with a focus on infrastructure strategy or capacity planning.
• Experience partnering with Finance and Engineering leadership on multi-year infrastructure investment decisions.
• Experience with inference and infrastructure components.
• Experience building forecasting, planning, or resource-allocation system.

Preferred qualifications:

• Master's degree or MBA in a technical, operations research, or quantitative field.
• Experience planning accelerator fleets (TPU or GPU), including chip qualification, model-to-chip compatibility, and fungibility constraints.
• Experience with machine learning inference workloads, and with the unit economics that connect tokens, throughput, utilization, and cost.
• Experience translating heterogeneous demand signals into a single allocation model across compute, memory, storage, and network resources.
• Experience with data residency and in-country deployment requirements for regulated markets.

About The Job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

For inference to be successful, capacity planning needs to be a product. Cloud AI serves Gemini and partner frontier models to external developers, enterprise customers, and internal products. These commitments depend on securing the right accelerators, in the right regions, at the right time, and predicting needs over a year in advance. Today, this planning is distributed across product, engineering, Finance, and go-to-market teams.

In this role, you will own the product strategy and planning process end-to-end. You will define how Cloud AI ingests demand and matches it against supply across first- and third-party data centers, and how it allocates constrained capacity when demand exceeds supply. You will also determine how these products should work with our inference stack to improve model economics.

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.

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

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Own the product strategy and roadmap for compute demand planning, supply planning, and allocation across Cloud AI.
• Establish an 18-24 month forward-looking demand signal segmented by customer, product surface, model family, consumption type, location, and capacity tranche.
• Define and standardize translation functions that convert business units into infrastructure units, ensuring changes in one resource layer propagate to dependent layers.
• Partner with Infrastructure, SRE, and Finance to create a near-real-time view of supply across first-party and third-party data centers.
• Build the allocation and prioritization model governing constrained capacity and drive scenario analysis ahead of model launches, large customer requests, or chip qualification delays.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .