Sr. Staff Product Manager, Adversarial Actors

Pinterest•Seattle, WA

1h•$195,738 - $402,990•Remote

About The Position

As a Senior Staff Product Manager for Adversarial Actors, you will own Pinterest’s end-to-end strategy for inauthentic behavior, including detection and enforcement for bots, account takeovers, and spam across the Pinterest funnel. You will work closely with Policy, Operations, Engineering, and Data Science teams to protect Pinners, advertisers, and the business. You will define the company-wide adversarial strategy across pre-authentication, login/signup, and post-authentication surfaces; set a multi-year vision; align executive stakeholders; and drive coordinated investment across Policy, Operations, MLE, Integrity Analytics, Data Science, Security, and Identity. You will lead the post-authentication roadmap and support the Bots & ATO Product Manager on the pre-authentication roadmap. The role includes developing spam account and domain detection signals and enforcement actions, defining measurement strategies, and adapting investments in response to evolving abuse patterns. The position can be based anywhere in the United States and requires in-office collaboration 1–2 times per quarter. It is not eligible for relocation assistance. The role offers a U.S. base salary range of $195,738–$402,990 and is also eligible for equity.

Requirements

At least 10 years of product management experience, with deep expertise in trust and safety, account integrity, anti-abuse, or adversarial domains.
Proven track record owning machine-learning-powered detection products and shipping enforcement systems at scale.
Strong data fluency, including comfort with precision, recall, false-positive rates, prevalence measurement, and reasoning about adversarial dynamics.
SQL proficiency and ability to independently investigate and analyze data.
Demonstrated systems thinking and experience navigating complex, interconnected detection and enforcement infrastructure.
Exceptional cross-functional leadership and executive-level communication, including driving alignment and decisions across functions and presenting strategy and recommendations to all levels of leadership.
Strong judgment on policy and enforcement tradeoffs, balancing enforcement with the impact of false positives on users.
Excellent written and verbal communication skills for explaining complex adversarial, machine-learning, and policy concepts to technical and non-technical audiences.
Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.

Responsibilities

Define and deliver Pinterest’s company-wide adversarial strategy across pre-authentication, login/signup, and post-authentication surfaces.
Set a multi-year vision, align executive stakeholders, and drive coordinated investment across Policy, Operations, MLE, Integrity Analytics, Data Science, Security, and Identity.
Develop and execute the post-authentication roadmap, including measurement, detection signals, and enforcement actions.
Support the Bots & ATO Product Manager on the pre-authentication roadmap.
Partner with Data Science and Engineering to build spam account and domain signals, including network-based detection, machine-learning models, and heuristic-based rules.
Partner with the Enforcement Systems team to develop spam account and domain enforcement actions, including warnings, rate limits, feature restrictions, deactivations, and domain-level actions.
Set metrics and measurement strategy for post-authentication spam prevalence, detection quality, and enforcement effectiveness.
Anticipate emerging adversarial patterns and reprioritize investments to stay ahead of evolving abuse.