Staff Product Engineer, Enterprise AI

Job description

Mozilla is hiring a Staff Product Engineer for Enterprise AI on a remote team. The role owns product implementation from concept through launch, adoption, and iteration, with work spanning front-end, back-end, APIs, integrations, and infrastructure-adjacent systems. The engineer will turn user, partner, and enterprise needs into technical plans and shipped experiences across AI chat, search, research, workflow automation, administration, and integrations. The position involves close collaboration with product, design, engineering, enterprise-facing teams, senior technical leadership, and open-source contributors. The posting emphasizes thoughtful tradeoffs, secure and maintainable code, measurement after launch, and identifying product gaps and technical risks. It is an explicitly classified full-time remote role. The day-to-day focus includes Shipped features that solve real user, partner, and enterprise needs. Stronger full-stack product capabilities across AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows. Clearer technical plans that translate product direction and enterprise requirements into executable work. Better post-launch understanding of whether features are being used, working as intended, and creating value. These activities connect the role to the wider team’s delivery goals and require clear coordination with the relevant technical, product, operations, design, or creative partners identified in the posting. The source also highlights qualifications including Own the implementation of Thunderbolt product features from concept through launch, adoption,

Requirements

• Own the implementation of Thunderbolt product features from concept through launch, adoption, and iteration.
• Translate product vision, user needs, partner feedback, and enterprise requirements into practical technical plans and shipped product experiences.
• Work across the stack to build, integrate, test, and ship complete product features.
• Build features for AI-powered chat, search, research, workflow automation, administration, integrations, and enterprise workflows.
• Partner closely with product, design, engineering, enterprise-facing teams, and open-source contributors to clarify requirements and deliver high-quality outcomes.
• Collaborate with senior technical leadership to turn product-shaping technical direction into executable product work.
• Use AI-assisted development tools thoughtfully to accelerate implementation while maintaining strong judgment around quality, security, maintainability, and reliability.
• Make thoughtful technical and product tradeoffs in ambiguous situations, balancing speed, usability, maintainability, reliability, and enterprise needs.
• Follow through after launch by reviewing usage, qualitative feedback, support signals, quality issues, and adoption patterns.
• Instrument features or collaborate on measurement approaches that help the team understand adoption, reliability, and product value.
• Identify product gaps, technical risks, edge cases, and opportunities to improve the user experience.
• Write clear, maintainable, well-tested code across front-end, back-end, APIs, integrations, and infrastructure-adjacent areas.