Sr. Staff Product Manager, Adversarial Actors

As a Senior Staff Product Manager for Adversarial Actors, you'll own the end-to-end strategy for inauthentic behavior on Pinterest.

This includes detection and enforcement for bots, account takeovers, and spam across the entire Pinterest funnel.

You'll partner closely with teams across Pinterest, including Policy, Operations, Engineering, and Data Science to protect Pinners, advertisers, and the business.

Responsibilities:

• Define and deliver Pinterest's company-wide adversarial strategy spanning pre-authentication, login/signup, and post-authentication surfaces , setting multi-year vision, aligning executive stakeholders, and driving coordinated investment across Policy, Ops, MLE, Integrity Analytics, Data Science, Security, and Identity.
• Develop and execute on the post-authentication roadmap, including measurement, detection signals, and enforcement actions.
• Partner with Data Science and Engineering to build spam account and domain signals, including network-based detection, ML models, and heuristic-based rules.
• Partner with the Enforcement Systems team to develop the associated suite of spam account and domain enforcement actions such as warnings, rate limits, feature restrictions, deactivations, and domain-level actions.
• Set the metrics and measurement strategy for post-authentication spam prevalence, detection quality, and enforcement effectiveness.
• Anticipate emerging adversarial patterns and continuously reprioritize investments to stay ahead of evolving abuse.

Requirements:

• Minimum 10 years of product management experience, with deep expertise in trust & safety, account integrity, anti-abuse, or adversarial domains
• Proven track record owning ML-powered detection products and shipping enforcement systems at scale
• Strong data fluency , comfortable with precision/recall/FPR, prevalence measurement, and reasoning about adversarial dynamics
• SQL proficiency , able to self-serve data investigation and analysis
• Demonstrated systems thinking , experience navigating complex, interconnected detection and enforcement infrastructure
• Exceptional cross-functional leadership and executive-level communication , proven ability to drive alignment and decisions across functions, and present strategy and recommendations to all levels of leadership.
• Strong judgment on policy and enforcement tradeoffs, balancing enforcement with false-positive user impact
• Excellent written and verbal communication of complex adversarial, ML, and policy concepts to both technical and non-technical audiences.
• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience