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August 5, 2025

Product Manager I, Detection, YouTube Trust and Safety

Mid • On-site

$132,000 - $189,000/yr

San Bruno, CA

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 3 years of experience in product management or business data analysis experience in an operations heavy environment.
  • 1 year of experience taking technical products from conception to launch.

Preferred qualifications:

  • Master’s degree or PhD in a technology or business related field.
  • 2 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  • 2 years of experience in a role preparing and delivering technical presentations to executive leadership.
  • 2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
  • 1 year of experience in software development or engineering.

About the job

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.

YouTube Trust and Safety’s top goal is to keep YouTube users safe and to maintain KOF (Key Opinion Former) trust.

In this role, you will build exceptional Artificial Intelligence (AI) and Machine Learning (ML) powered content detection that works at scale and adapts quickly in the case of escalations or sensitive world events.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Contribute to the roadmap to scale how YouTube addresses harmful altered/synthetic (AI-created) content.
  • Improve the recall of the systems by scoping, building, and launching classifier signals while also expanding the usability of those signals via tooling improvements, with a tight understanding of current, or future operational constraints.
  • Build feedback loops for understanding how well signals are achieving their goals in addition to building the right systems to respond excellently to high sensitivity events, or elections.
  • Work with the Intelligence desk and the operation teams to understand and prioritize key risk areas.
  • Design and implement systems to mitigate those gaps, partner across all parts of the detection teams, operations, and tooling teams.