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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.

Google plays an essential role in keeping the internet safe from bad advertisements. Advertising policies are paramount to a trustworthy ecosystem that generates significant business each year and is under constant scrutiny by regulators and policymakers worldwide.

In this role, you will work on a horizontal function across Ads, impacting one of Alphabet's core businesses while applying some of the most advanced AI technologies to work on real-life topics like election advertising, healthcare, and adult content. You will collaborate closely with teams across Trust and Safety, Public Policy, Legal, Sales, and Engineering to ensure a safe and trustworthy experience across our platforms.

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.
  • Deliver an Ads-wide OKR end-to-end, interacting and influencing senior executives in Ads and other functions.
  • Create new policies or refine existing ones to drive outcomes of user protection across billions of users while mitigating risks for Google Ads.
  • Leverage AI technologies to pioneer innovative and scalable methods for detecting and mitigating bad ads, ensuring a safe and trustworthy experience across platforms.
  • Develop product features including requirements documentation, legal and privacy reviews, launch reviews, and executive reviews.

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).
  • Experience integrating generative AI tools or LLM interfaces into workflows.
  • Experience in product abuse detection, anti-abuse, or trust and safety.

Preferred qualifications:

  • 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  • 4 years of experience in a role preparing and delivering technical presentations to senior leadership.
  • 3 years of experience in software development or engineering.
  • Strong track record of creating and executing effective strategies with internal and external partners.
  • Knowledge of online advertising or experience creating medium to large-scale advertising campaigns.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Los Angeles, CA, USA.