Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or a related technical role.
- 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
- 5 years of experience building and shipping developer-facing platforms, APIs, or technical infrastructure products.
- Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:- Master's degree in a technology or business related field.
- 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
- 4 years of experience in a role preparing and delivering technical presentations to executive leadership.
- 3 years of experience in software development or engineering.
- 3 years of people management experience with direct reports, and in technical leadership.
About the jobAt 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.
Advertisers increasingly do not want to navigate UI interfaces to run their campaigns. They want to delegate. AI agents - in Claude, ChatGPT, Cursor, and purpose-built marketing tools - are quickly becoming a primary way advertisers interact with Google Ads, and third-party platforms have already built large businesses offering tools for these apps to connect with Ads systems. Meanwhile, the Google Ads API remains the programmatic backbone of the business, serving tens of thousands of active developers and touching the large majority of Google Ads spend.
In this role, you will own how that experience works. You will decide what advertisers and their agents can actually accomplish in Google Ads, how good the results are, and how easily developers can get started.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
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
Learn more about benefits at Google .
Responsibilities- Own the goal, strategy, and roadmap for external interfaces allowing agents to buy ads on Google.
- Partner with teams in Ads on critical user journeys for agentic buying. Define the tool surface itself: which capabilities are exposed, how they are named, described, and scoped.
- Work closely with cross-functional partners to develop a deep understanding of how third-party platforms, agencies, and enterprise advertisers build on Google Ads.
- Own the API release train, access tiers, onboarding, quotas, and the developer policy and required minimum functionality framework - including extending policy to cover autonomous agents.
- Build relationships with AI platform partners and the third-party developer community.
