Sr. Staff Product Manager, Adversarial Actors

Overview

All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.

In this role you will own Pinterest’s end-to-end strategy for adversarial behavior, from pre- to post-authentication surfaces. You will partner with Policy, Ops, Engineering, and Data Science to protect pinners, advertisers, and the business. You’ll define multi-year vision, build ML-driven detection, and oversee enforcement actions. This is a mission-driven opportunity to shape trust and safety at scale while collaborating across teams to stay ahead of abuse. You’ll work in a data-driven, cross-functional environment that values clear thinking and practical impact.

Compensation / Benefits

equitybase salary range $195,738—$402,990in-office collaboration 1–2 times/quarterremote-friendly / #LI-REMOTEcareer growth and impact on a global productinclusive workplace
Responsibilities

Define and deliver a company-wide adversarial strategy spanning pre- and post-authentication surfaces, aligning stakeholders and investments.Develop and execute the post-authentication roadmap with measurement, detection signals, and enforcement actions.Collaborate with Data Science and Engineering on spam account/domain signals, ML models, and heuristic rules.Coordinate with Enforcement Systems to implement warnings, rate limits, feature restrictions, deactivations, and domain actions.Set metrics for post-authentication spam prevalence, detection quality, and enforcement effectiveness. xklufbp Anticipate evolving abuse patterns and reprioritize investments accordingly.Support pre-authentication roadmap alongside Bots & ATO PM.
Key requirements

Minimum 10 years of product management in trust & safety, account integrity, anti-abuse, or adversarial domainsProven track record shipping ML-powered detection products and enforcement systems at scaleStrong data fluency with precision/recall/FPR and prevalence measurementSQL proficiency for self-serve data analysisDemonstrated systems thinking for complex detection/enforcement infrastructureExceptional cross-functional leadership and executive-level communicationStrong policy/enforcement judgment balancing enforcement with user impactExcellent written and verbal communication of adversarial, ML, and policy conceptsBachelor’s degree in a relevant field such as Computer Science, or equivalent experiencecross-functional leadershipexecutive-level communicationstrategic judgmentML-powered detectionspam account and domain signalsnetwork-based detection