Technical Program Manager III, AI Product Growth, Google Ads

Google•Mountain View, CA
•$163,000 - $236,000

About The Position

As a Technical Program Manager at Google, you will lead complex, multidisciplinary projects from start to finish. You will work with stakeholders to plan requirements, identify risks, manage schedules, and communicate with cross-functional partners, while explaining analyses and recommendations to executives and discussing technical tradeoffs with engineers. The role supports Google Ads measurement and revenue growth initiatives. Measurement is essential to performance advertising and helps bidding systems maximize advertiser return on investment. The work addresses changes in digital transaction data, advances in AI and machine learning, and shifts in consumer behavior across channels and formats. The team aims to build a cohesive measurement platform while addressing competitive and regulatory challenges and sustaining user and advertiser trust. Google Ads applies machine learning and Generative AI, including Gemini, to its global business. The work can affect billions of users through user protection, ad quality, and campaign performance, in collaboration with teams such as Google Research and DeepMind.

Requirements

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience in product and development portfolios.
  • Experience in workflow automation.

Nice To Haves

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience with Ads.
  • Experience with AI.

Responsibilities

  • Manage a portfolio of complex projects and workstreams, and take responsibility for overall program strategy, governance, operating model, and program operations.
  • Use leadership, product, and technical judgment to drive program delivery in partnership with engineering, product management, UX, and other teams.
  • Navigate interdependent workstreams, functional and technical concepts, and stakeholder conversations to drive collaboration and consensus.
  • Create integrated timelines and schedules, track progress, manage dependencies, proactively identify and communicate risks, and identify mitigations.
  • Manage program execution and issues through design, development, testing, and deployment.

Benefits

  • Equity
  • Benefits
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