Role Description Bluesky’s mission is to build an open protocol for the social internet. As Bluesky continues to grow and explore new product surfaces, Trust & Safety needs to be embedded early in product strategy, design, and launch readiness. We’re looking for a Senior Product Manager, Trust & Safety and AI Safety to serve as the primary product partner between Trust & Safety, Product, Engineering and Legal. This person will own our product risk assessment process, lead operational readiness for AI-adjacent product work, and help ensure new features are built with safety considerations from the start. This is a high-context, cross-functional role for someone who can move between strategy and execution: - Understanding emerging product risks - Translating them into clear operational requirements - Driving alignment across teams - Building repeatable systems that help Bluesky ship quickly and responsibly 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. Qualifications - Have experience in product management, Trust & Safety, integrity, platform safety, AI safety, risk, or a closely related field. - Have worked on consumer products at scale, especially products with user-generated content, social interactions, recommendations, messaging, AI features, or other high-risk surfaces. - Are strong at identifying product risks early and translating them into practical mitigations, operational requirements, and launch criteria. - Can build systems from scratch: intake processes, risk assessment frameworks, launch readiness checklists, product requirements, trackers, and cross-functional operating rhythms. - Are comfortable working across Product, Engineering, Policy, Legal, Comms, and Operations, and can drive clarity when ownership is ambiguous. - Have strong product judgment and can balance user experience, safety, operational feasibility, legal exposure, and company velocity. - Are 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. - Are excited to help build the safety foundations for an open social protocol. Additional Information - We’re a fully remote team, but meaningful overlap with Pacific Time working hours is required. - For this role, proximity and willingness to travel to San Francisco, Seattle, or team offsites is a plus. - We offer health, dental, and vision insurance.

• Own the product vision, strategy, and multi-year roadmap for Ascentia’s application product lines in coordination with Collins Aerospace executive leadership, sales, marketing, and engineering. • Use evidence-based decision-making — grounded in airline operational data, customer feedback, and measurable business outcomes — to prioritize initiatives effectively. • Drive the evolution of the platform’s analytics capabilities and the customer experience around them. • Partner closely with Collins OEM systems experts, data scientists, and ML engineers to translate deep domain knowledge into commercially viable product features. • Lead integration strategy across the broader connected aviation ecosystem. • Develop and maintain product roadmaps that guide engineering, marketing, and sales teams on priorities and deliverables. • Clearly articulate the “what,” “when,” and “why” of what Ascentia is building. • Effectively coordinate between airline customers, internal Collins stakeholders, and the technical team to align on priorities and tradeoffs. • Collect, analyze, and prioritize input about Ascentia’s products and markets from customers, prospects, industry analysts, airframers, and internal stakeholders. • Support sales and marketing by attending customer and prospect meetings, supporting RFPs, participating in industry events, and creating product-related content. • Make sound business decisions based on tradeoffs between cost, engineering effort, regulatory considerations, and customer value. • Mentor and grow Product Owners, Data Engineers, Data Scientists and other PMT members to foster an extremely high-performing team. • Lead and support a culture of collaboration, critique, and candid feedback. • Motivate the team with clear, engaging goals and initiatives tied to measurable outcomes for airline customers.

• Planejamento, acompanhamento e governança dos projetos • Estruturar o roadmap de produtos • Conduzir estudos/análises para decisões embasadas

• Business Ownership of Data Across the Value Stream • Responsible for business decisions related to data used across the product value stream • Collaborate with Value Stream Leader(s), P&C Leadership, and other stakeholder’s to understand value stream data needs • Understand how data flows across systems, products, and processes • Assess business impacts, dependencies, and tradeoffs of data‑related decisions • Enabling Product Teams with Data • Facilitate cross P&C discussions to define Data Product standards and designs, in close collaboration with Product Owners and Architects • Partner with Product Owners to co-own identification and prioritization of all data-related work across Agile PODS initiatives and features with support from P&C Leadership • Support teams to make sure they have data to measure value, outcomes, and adoption • Enable consistent, fact‑based planning, prioritization, and review discussions • Partnership with IT and Enterprise MDM • Work closely with the IT Data Product Owner, Data Architects, and Enterprise Master Data Management team to articulate data business context and definitions • Collaborate on technical design options, sequencing, and feasibility assessments • Balance business priorities with architectural standards and platform constraints • Stakeholder Engagement & Decision Support • Engage business stakeholders to understand decision needs and data requirements • Synthesize inputs to support transparent, value‑based decisions • Communicate impacts and tradeoffs of data decisions clearly to leadership • Data Quality, Governance & Adoption (Business Perspective) • Champion business definitions, data quality standards, and usage expectations • Partner with IT and governance teams to ensure data is trusted and consistently interpreted • Ensure IT Commercial Data Delivery and Enterprise MDM are governing necessary data updates, maintaining data quality and data accuracy according to defined data business context • Drive adoption by ensuring data aligns to real business decisions and workflows • Collaborate with the Architects to drive Master Data improvements.