This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for an experienced and thoughtful Lead Ads Policy Manager to join our Content Product policy team. Our policy team keeps Pinterest a safe, positive and welcoming environment for our 450+ million global users by developing industry-leading content policies. You’ll develop policies on generative AI, advise on new product risk, autonomously lead complex projects, and set the strategy for the AI policy function. You’ll ensure our product policies are enforceable at scale and build a strong relationship with product teams. You’ll seek out feedback from internal stakeholders and external experts and collaborate with our Product, Engineering, Legal, Public Policy, and Communications teams. This role will sometimes involve reviewing graphic and disturbing content and discussing difficult subjects. - Collaborate with your Policy teammates, cross-functional partners, executives and outside experts to craft industry-leading generative AI policies to protect Pinners and keep Pinterest safe and inspiring. - Partner with Trust & Safety, Product, and Engineering teams to embed AI safety best practices in product launches and scale AI policy enforcement globally. - Anticipate opportunities and advise on risks of new generative AI policies to help keep Pinterest ahead of the next challenge. - Drive regulatory and compliance efforts for content policy matters. - Partner with the leadership team to set strategy for product policies, including how to prioritize among competing demands for our time and expertise, and mentor others. - Continuously evaluate and iterate on our policy approaches. - Evaluate high-profile escalations. - Facilitate and productively engage in complex policy discussions, including respectfully challenging team members and xfn partners, using contrarian techniques to strengthen policy analysis, and incorporating new and diverse viewpoints. Qualifications - Bachelor’s degree in a relevant field such as public policy, research or equivalent experience. - Substantial experience with AI policy, generative AI systems, trust and safety operations, or policy development for AI-driven products, including drafting guidance for a global audience and managing escalations. - Strong understanding of global online safety trends, generative AI and LLMs; can identify and mitigate policy risk areas. - Experience developing and scaling AI policy and enforcement at a global level. - An autonomous leader with strong writing skills and great verbal communication. - A skilled relationship builder who maintains collaborative partnerships within your team, across the company, and with outside audiences. Demonstrated experience working with cross-functional teams including Operations, Product, Legal, Public Policy and Comms. - Excellent project management skills and ability to work on multiple projects. - Excellent judgment and critical thinking skills: you can assess numerous inputs, weigh tradeoffs, manage ambiguity, and make difficult decisions. - A thoughtful leader with a demonstrated experience leading complex projects and mentoring others. Requirements - This position is not eligible for relocation assistance. - This role will need to be in the office for in-person collaboration 1-2 times a quarter and therefore can be situated anywhere in the country. Benefits - Visit our PinFlex page to learn more about our working model.

• Work with customers to deeply understand their pain and the job they need to do in order to be the voice of the customer within the product discovery and development process • Partner closely with your Engineering and UX counterparts to discover the problem to be solved and then iterate on the solution through the use of rapid experimentation and right sized prototypes (build, measure, learn) • Collaborate with AI/ML engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences • Engage deeply with engineering teams, understanding the technical complexities and trade-offs involved in building enterprise-grade AI solutions • Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures • Get your hands dirty – doing any job on the team necessary to build and ship a successful product • Work with Engineering to plan and build your product, including identifying and planning to mitigate risks and creating an MVP hypothesis • Work with QA, marketing, sales, support and research to ensure your product can be successfully tested, positioned, sold, supported and continually enhanced • Managing stakeholder relationships, keeping them informed about all aspects of your product through direct conversations, roadmaps, feature briefs, slide decks, etc • Measure and communicate your product outcomes • Work with leadership to align your product vision and strategy to company objectives.

**Key Partnerships****This role sits at the intersection of several teams. Success depends on building strong, trust-based relationships across the organization. - Enterprise Technology owns WCK's technology stack and will provide engineering capacity for implementation. The PM needs to deeply understand the existing stack, some components may already meet platform requirements, and stay tightly aligned on architecture decisions and build vs. buy trade-offs. - The Director of Knowledge Management (within Governance) holds functional ownership of Knowledge Management (KM) curation and implementation. The PM will partner closely with them to ensure the KMS component reflects governance standards while meeting operational needs. - Beyond these core partnerships, the PM will engage regularly with Response Operations, Community Response, People Response, and Response Security — the teams who will ultimately use the platform daily. **Key Responsibilities****Product Strategy & Vision** - Shape the product vision for the Response Support Platform across all components: KM, omnichannel helpdesk, AI Tier 0, Global Event Monitoring (GEM), and CRM - Develop comprehensive product requirements based on stakeholder needs across Response Operations, Community Response, People Response, Response Security, and Governance - Create and maintain a prioritized product roadmap aligned with organizational priorities - Navigate trade-offs across speed, safety, compliance, and user experience **Discovery & Requirements** - Conduct stakeholder interviews across all functional areas to understand support needs, pain points, and workflows - Document current-state processes and identify gaps in existing support capabilities - Define user personas and journey maps for field teams, remote coordinators, and central staff - Translate operational requirements into technical specifications in coordination with Enterprise Technology **Solution Evaluation & Selection** - Assess existing tools within WCK's technology stack for potential use, in partnership with Enterprise Technology - Research and evaluate enterprise platform options (e.g., ServiceNow, Salesforce Service Cloud, Zendesk, Genesys) with consideration for build vs. buy trade-offs - Evaluate AI/ML capabilities for Tier 0 self-service, NLP translation, and predictive routing - Assess CRM requirements and evaluate options — including expansion of current Salesforce implementation or alternative solutions - Develop solution recommendation documentation and evaluation criteria aligned with Enterprise Technology standards - Coordinate vendor demonstrations and technical evaluations as needed **Stakeholder Alignment & Communication** - Build cross-functional alignment with partner teams - Prepare and present progress updates to stakeholders - Manage stakeholder expectations and surface escalations as needed - Drive consensus on prioritization decisions **Deliverables** Phase 1: Discovery & Foundation (Months 1-3) - Stakeholder interview synthesis and requirements documentation - Current-state assessment and gap analysis - Product vision document and 12-month roadmap - Platform solution recommendation with evaluation criteria (build vs. buy analysis) - CRM requirements assessment and preliminary recommendation - 3-month checkpoint presentation to leadership Phase 2: Selection & Planning (Months 4-6) - Vendor evaluation summary and recommendation - Platform architecture and integration design - Detailed implementation plan and timeline - MVP scope definition and acceptance criteria Phase 3: Build & Iterate (Months 7-12) - MVP delivery oversight and iteration based on user feedback - CRM integration with Phase 1 platform deployment - Product documentation and training materials - Quarterly roadmap updates and stakeholder reviews - 12-month engagement summary and transition plan

• Own the end-to-end product experience of a unified ride-hailing platform • Drive product strategy, execution, and growth across a real-time, multi-partner API platform • Work closely with the BD team to evaluate and prioritise new partner opportunities • Enable new demand partners to launch services using the platform • Support new supply partners by helping them design APIs that align with platform standards • Act as the product point of contact for partners • Ensure a consistent, reliable experience across markets, suppliers, and demand partners • Use partner feedback and collaborate with data analysts to continuously improve partner experience • Balance demand-partner needs with supplier constraints to optimise conversion and margins • Create and maintain necessary product documentation for internal and external stakeholders • Stay up to date with ride-hailing, mobility and platform trends