Sr. Staff Product Manager, Adversarial Actors

Pinterest is hiring a Senior Staff Product Manager to own the end-to-end strategy for inauthentic behavior across its platform. The role leads detection, enforcement, measurement, and cross-functional investment to protect Pinners, advertisers, and the business from bots, account takeovers, and spam.

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. Support the Bots & ATO PM on pre-authentication roadmap
• 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