Product Manager I

Google•Kirkland, WA

7d•$138,000 - $197,000

About The Position

At Google, Product Managers work cross-functionally to guide products from conception to launch, connecting technical and business considerations and breaking complex problems into steps that drive product development. Product Management teams collaborate with engineers, designers, marketers, and others to guide products throughout execution, including analyzing, positioning, packaging, promoting, and tailoring solutions to users. The Product Manager will join the Ads Data Management team and help shape privacy-centric advertising products, including Google Tag Gateway, Data Manager, and Confidential Compute. The role focuses on how advertisers ingest, manage, and activate first-party data across Google's advertising platforms. The Product Manager will address ambiguous problems, develop long-term product strategies, and influence stakeholders across the organization, with a focus on data and the advertising technology ecosystem. Google Ads applies machine learning and Generative AI to its global advertising business. The work supports user safety, ad quality, and advertiser campaign return on investment, in collaboration with teams such as Google Research and DeepMind.

Requirements

Bachelor's degree or equivalent practical experience.
3 years of experience in product management or a related technical role.
1 year of experience taking technical products from conception to launch, such as ideation to execution, end-to-end, or 0 to 1.
Experience managing ad tech products.

Nice To Haves

Master's degree in a technology- or business-related field.
2 years of experience preparing and delivering technical presentations to executive leadership.
2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
Experience with API development and management.

Responsibilities

Drive innovation in how advertisers ingest, manage, and activate their first-party data across Google's advertising platforms.
Leverage new and existing privacy-preserving techniques and define the outlook for conversion measurement in response to ecosystem, regulatory, and industry changes.
Ideate and apply advanced machine-learning and modeling techniques to deliver measurement breadth and accuracy for advertisers in a data-constrained environment.
Enable customers to bring in and make sense of first-party data from disparate sources, including CDPs, CRMs, databases, and cloud stores.
Collaborate with Google Ads Advertiser, Google Analytics, and Enterprise Platforms teams to bring product outlooks and solutions to life in the Google Ads UI.