Senior Product Manager, Engagement Safety, YouTube

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.

As a Product Manager for Engagement Safety, you will drive the detection strategy and roadmap to protect YouTube’s interactive ecosystems. This is a highly technical role requiring expertise in graph systems and behavioral detection to address complex, fast-evolving safety issues in real-time.

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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role.
  
• 4 years of experience in ML/AI-driven product development (e.g., building and shipping classifiers, recommendation systems, or detection models).

Preferred qualifications:

• Experience building or leveraging behavioral or network analysis systems to detect patterns (e.g., fraud, abuse, coordinated behavior).
• Experience in safety-critical environments, abuse detection, fraud prevention, or trust and safety, with a strong understanding of precision/recall trade-offs at scale.
• Track record of defining strategy for ambiguous spaces and communicating technical roadmaps to executive leadership.