Product Manager Ii, Trust & Safety Tools

Pinterest Pinterest · Consumer · San Francisco, CA · Trust and Safety Ops

Product Manager for Trust & Safety Tools at Pinterest, focusing on AI-native internal tools for reviewers, ML engineers, and policy teams. The role involves owning the product roadmap, defining and shipping AI-native capabilities, and partnering with various teams to improve workflows and keep the platform safe. Experience with internal user products and SQL proficiency are required, with a preference for Trust & Safety or AI feature building experience.

What you'd actually do

  1. 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
  2. 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
  3. 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
  4. Manage the internal customer experience across a diverse user base with different needs and technical depth
  5. Triage inbound requests from cross-functional stakeholders, communicate priorities, and maintain roadmap focus

Skills

Required

  • 3+ years product management experience
  • Experience building products for internal users, operations teams, or enterprise customers
  • Strong user empathy
  • SQL proficiency
  • Excellent stakeholder management
  • Strong written and verbal communication
  • Growth mindset with enthusiasm for AI

Nice to have

  • Trust & Safety or content moderation experience
  • Experience building or integrating AI-powered features
  • Background in ops efficiency measurement (AHT, throughput, cost metrics)

What the JD emphasized

  • AI-native tool capabilities
  • AI-assisted workflows
  • AI-first future
  • how practitioners interact with T&S systems

Other signals

  • AI-first future
  • AI-native tool capabilities
  • AI-assisted workflows
  • intelligent routing
  • model testing interfaces
  • how practitioners interact with T&S systems