About the job
As a Product Manager for Trust & Safety Tools, you'll own the product strategy for the internal tools that power trust & safety at Pinterest — the systems that reviewers, ML engineers, risk analysts, and policy teams use every day to keep the platform safe. You'll drive the transformation of these tools toward an AI-first future, reimagining what internal tooling looks like when AI is a core participant in every workflow. Partnering closely with Operations, ML Engineering, Risk Intelligence, Policy, and Data Science, you'll shape tools that serve an expanding community of T&S practitioners across the company.
Responsibilities
Own and drive the T&S Tools product roadmap, including review queue systems (PinQueue), entity inspection and management (Lookup), bulk operations, and domain management tools
Define and ship AI-native tool capabilities — MCP integrations, AI-assisted workflows, intelligent routing, model testing interfaces, and new experiences that fundamentally change how practitioners interact with T&S systems
Partner deeply with T&S practitioners — ops reviewers, ML engineers, risk analysts, policy teams — to understand workflows, identify friction, and deliver improvements that compound over time
Manage the internal customer experience across a diverse user base with different needs and technical depth
Triage inbound requests from cross-functional stakeholders, communicate priorities, and maintain roadmap focus
Qualifications
Minimum
3+ years product management experience
Experience building products for internal users, operations teams, or enterprise customers
Strong user empathy — genuinely curious about how people work and motivated by making their workflows better
SQL proficiency — able to self-serve data investigation and analysis
Excellent stakeholder management — proven ability to juggle competing priorities from multiple teams
Strong written and verbal communication
Growth mindset with enthusiasm for AI — excited to learn and develop conviction about how AI transforms internal tooling
Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience
Preferred
Trust & Safety or content moderation experience
Experience building or integrating AI-powered features
Background in ops efficiency measurement (AHT, throughput, cost metrics)