Director, Data Analytics - Trust & Safety

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest helps Pinners discover and do what they love, and enable advertisers to effectively engage with the ideal audience to meet their marketing objectives. Pinterest has grown into one of the world's largest consumer products and advertising platforms, boasting over 600 million monthly active users and generating more than $4 billion in annualized advertising revenue. Our ongoing business success is reliant on our capacity to accelerate product innovation, which in turn allows us to deliver increased value to both our Pinners and Advertisers.

Pinterest is entering a new era-reimagining how trust, safety, and quality are measured, protected, and elevated across the digital landscape. Reporting to Pinterest's VP of Trust & Safety, the Director, Data Analytics - Trust & Safety will lead a globally dispersed team of ~15 data analysts and project/program managers tasked with turning trust measurement into governed, self-serve decision systems for Policy, Ops, Legal, Product, and Engineering.

As Director, Data Analytics - Trust & Safety, you will architect and accelerate our shift toward agentic, scenario driven analytics that measurably reduce timetodetection (TTD) and timetomitigation (TTM) of harm, and make roadmap tradeoffs more defensible across safety, expression, and growth. You'll stand up intelligent agents and scenario workflows where they matter most-incident impact sizing, policy/enforcement "whatif" reviews, and Ops floor playbooks-so decisions that used to take days become consistent, auditable calls made in hours or minutes.

This role isn't just about reporting what happened; it's about building the systems, agents, and simulators that help Pinterest see around corners and respond at the speed of the internet. You will democratize agentic data access, build always-on scenario simulators for abuse, fraud, and content quality, and turn incident impacts into seamless signals for continuous improvement. Your insights and systems will empower every stakeholder-from legal to operations, policy to product-to make bold, data-driven, and context-aware decisions in real time.

• Lead the Agentic Analytics Transformation: Spearhead the design and deployment of intelligent agents that proactively detect, simulate, and respond to abuse, fraud, and emerging risks-scaling our platform's safety, quality, and trust for the long term.
• Build Scenario Simulators: Create interactive, scenario-based analytics that allow teams to model risk, test interventions, and validate new policy and moderation approaches before launch-protecting users, creators, and merchants at scale.
• Automate Incident Impact Scoping: Operationalize automated agent workflows that instantly assess and size the platform, reputational, and regulatory impact of safety incidents, enabling rapid escalation, crystal-clear retrospectives, and lessons learned.
• Democratize Agentic Insights: Build self-service, agent-driven data tools that empower non-technical teams to ask deep questions, run "what if"…