Technical Program Manager, ML Demand Planning

Technical Program Manager, ML Demand Planning

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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

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:

• Bridge multi-year machine-level demand plans into data center power and space constraints.
• Operationalize location strategies (zone-level and global aggregation) without disrupting downstream delivery pipelines.
• Model complex allocation scenarios across key business segments, reconciling compute supply responses with site-level power and operational limits.
• Author and publish standardized operational playbooks to document tagging methodologies, deployment ramps, and capacity management mechanics into permanent institutional standards.
• Partner with Core Systems Engineering, DeciML, Data Science, and Operations teams to review design documents, establish technical specs, and drive User Acceptance Testing (UAT).
• Advocate for the adoption of practical AI workflows and modern tooling across the broader infrastructure team, providing technical mentorship to scale operational capacity.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.