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.
About the jobIn 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.
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 .
Responsibilities- Define the long-term goal and strategy for building YouTube's safety-focused interaction graph. Own the roadmap for detecting bad actors and coordinated abuse patterns across all interactive features.
- Scope, design, and launch advanced graph-based detection models and behavioral classifiers. Partner closely with Engineering to scale network analysis systems that process real-time interaction data at YouTube's scale.
- Create frameworks to measure the precision and recall of detection models. Ensure the detection layer adapts rapidly to evolving tactics and high-stakes safety incidents.
- Partner with Policy, Enforcement, and Intelligence teams to translate emerging threat patterns into technical detection requirements. Serve as the executive technical voice for engagement safety in strategy reviews with leadership.
