Quick summary
- Work type
- Remote
- Location
- San Francisco, CASeattle, WA
- Salary
- $195,738–$402,990 / yr
- Posted
- 13 days ago
- Freshness
- Confirmed live today
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 95% of similar roles. Most pay $189,887–$257,100 — the blue band above. At the midpoint, this role pays about $299k versus about $223k for comparable roles.
Based on 240 similar postings.
Employer
About Pinterest
Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.
Pinterest currently has 76 open roles on FindRole.
Listed pay typically runs $177,185–$339,078 across 70 roles with salary data.
Most-posted roles
- Software Engineer 17
- Machine Learning Engineer 14
- Product Manager 11
- Data Scientist 7
- Technical Program Manager 5
At a glance
TL;DR · Senior Staff Product Manager, Adversarial Actors
As a Sr. Staff Product Manager, Adversarial Actors, you will own the end-to-end strategy for inauthentic behavior on Pinterest. You will lead the detection and enforcement of bots, account takeovers, and spam across the entire platform funnel. Your daily responsibilities include defining multi-year visions for pre-authentication and post-authentication surfaces, developing roadmaps for detection signals, and partnering with cross-functional teams to build spam account and domain signals. You will utilize ML models, heuristic-based rules, and network-based detection while managing enforcement actions like rate limits and deactivations. The role requires deep expertise in trust and safety, data fluency in precision and recall, and SQL proficiency. You will solve complex adversarial problems by balancing enforcement actions against false-positive user impacts to protect the business and its users.
What does a Product Manager earn in California?
Median $222500 from 327 postings across 57 companies.
Skills
What you'll do
- Define and deliver a company-wide adversarial strategy for pre-authentication, login, and post-authentication surfaces.
- Develop and execute the post-authentication roadmap including detection signals and enforcement actions.
- Build spam account and domain signals using network-based detection, ML models, and heuristic rules.
- Develop a suite of enforcement actions such as warnings, rate limits, and account deactivations.
- Establish metrics and measurement strategies for spam prevalence, detection quality, and enforcement effectiveness.
- Anticipate emerging adversarial patterns and reprioritize investments to stay ahead of evolving abuse.
- Align executive stakeholders and drive coordinated investment across Policy, Engineering, Data Science, and Security teams.
What we're looking for
- 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 including precision/recall/FPR, prevalence measurement, and reasoning about adversarial dynamics.
- SQL proficiency for self-serve data investigation and analysis.
- Demonstrated systems thinking with experience navigating complex, interconnected detection and enforcement infrastructure.
- Exceptional cross-functional leadership and executive-level communication skills to drive alignment and present strategy to all leadership levels.
- Strong judgment on policy and enforcement tradeoffs, balancing enforcement with false-positive user impact.
- Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.
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