Senior Product Manager, Deceptive Content

. Own Pinterest's strategy for reducing user victimization from scams, fake storefronts and merchants, AI-generated merchant clusters, and misleading commerce content .

Posted 10/14/2026full-timeUnited StatesSenior💰 $164,695 - $339,078 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on trust and safety, leveraging data fluency and SQL proficiency to drive enforcement strategies against scams and deceptive content. Proven ability to lead cross-functional teams and navigate complex detection infrastructures.

Highest-signal resume keywords

Product Management ExperienceTrust & Safety ExpertiseML-Powered Detection ProductsSQL ProficiencyCross-Functional Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementData FluencySQLEnforcement StrategiesMeasurement Metrics

Soft Skills

Cross-Functional CommunicationStrong Judgment

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Trust & SafetyFraudScamsMarketplace IntegrityAdversarial Domains

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own Pinterest's strategy for reducing user victimization from scams, fake storefronts and merchants, AI-generated merchant clusters, and misleading commerce content
Define and deliver the deception-defense strategy and roadmap across organic commerce surfaces
Align partners across Policy, Operations, MLE, Integrity Analytics, Data Science, Monetization, and related teams
Set metrics and measurement for deceptive-content prevalence, victim-exposure window, cluster takedown latency, and enforcement quality
Develop cluster- and merchant-level enforcement actions with the Enforcement Systems team
Partner with the Adversarial/Spam team on shared infrastructure signals
Define boundaries with Creator, Spam, Security/ATO, Text Safety, and Monetization teams
Anticipate emerging deception patterns, including AI-generated abuse, and reprioritize investments
Present recommendations to leadership and drive cross-functional alignment

Requirements

What you’ll need

5+ years of product management experience
Experience in trust & safety, fraud, scams, marketplace integrity, or adversarial domains
Proven track record owning ML-powered detection products and shipping enforcement at scale
Strong data fluency, including precision/recall, FPR, prevalence measurement, and adversarial dynamics
SQL proficiency for data investigation and analysis
Experience navigating complex detection and enforcement infrastructure
Strong cross-functional leadership and communication skills
Strong judgment on enforcement tradeoffs and false-positive impact
Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
US-based applicants only

Benefits

Comp & perks

Equity eligibility
Support and wellness resources for exposure to deceptive and harmful content
Flexible working model / PinFlex
In-person collaboration only 1–2 times per quarter
Equal opportunity employment and medical or religious accommodation support