Senior Product Manager, Trust and Safety - AI Safety

Responsibilities

• Own the Product Risk Assessment process end-to-end for new feature launches, including intake, scoping, risk categorization, mitigation tracking, launch readiness, and post-launch review.
• Serve as the primary Trust & Safety liaison to Product and Engineering for new product development, ensuring safety considerations are included early in specs, roadmap conversations, and launch planning.
• Lead Trust & Safety product thinking for AI-adjacent product work, including harm framework operationalization, launch readiness, tooling needs, queue impact, escalation paths, moderator training, and communications posture.
• Build and maintain repeatable launch readiness frameworks for Trust & Safety, including checklists, templates, trackers, and feedback loops from post-launch moderation and operational observations.
• Partner with Product, Engineering, Policy, Legal, Comms, and Operations to identify risks, define mitigations, and clarify ownership across complex or ambiguous product launches.
• Establish a forward-looking roadmap for Trust & Safety product needs, including internal tooling, AI safety capabilities, detection systems, queue routing, escalation infrastructure, reporting, and risk dashboards.
• Act as the Trust & Safety product counterpart in roadmap reviews, product planning rituals, spec reviews, and launch readiness checks.
• Translate operational Trust & Safety needs into product requirements that Engineering and Product can act on.
• Identify strategic opportunities where Trust & Safety systems, automation, tooling, or process improvements can compound over time.
• Help move Trust & Safety from a reactive review function to a proactive product partner embedded in how Bluesky builds.

Requirements

• Experience in product management, Trust & Safety, integrity, platform safety, AI safety, risk, or a closely related field.
• Experience working on consumer products at scale, especially products with user-generated content, social interactions, recommendations, messaging, AI features, or other high-risk surfaces.
• Strong ability to identify product risks early and translate them into practical mitigations, operational requirements, and launch criteria.
• Experience building systems from scratch: intake processes, risk assessment frameworks, launch readiness checklists, product requirements, trackers, and cross-functional operating rhythms.
• Comfortable working across Product, Engineering, Policy, Legal, Comms, and Operations, and can drive clarity when ownership is ambiguous.
• Strong product judgment and can balance user experience, safety, operational feasibility, legal exposure, and company velocity.
• Thoughtful about AI safety and can reason about how AI-enabled features may create new forms of user harm, abuse, manipulation, operational burden, or regulatory risk.
• Communicate clearly in writing and can create crisp documentation that helps teams make decisions.
• Like working on small, fast-moving teams with high autonomy.

Nice-to-Haves

• Proximity and willingness to travel to San Francisco, Seattle, or team offsites.