[Hiring] Staff Product Engineer @Mozilla

Role Description

We’re looking for a Staff Product Engineer to help build Thunderbolt as it moves from early product development into enterprise use cases. This role sits at the intersection of full-stack product engineering, AI-enabled product development, enterprise workflows, technical execution, product judgment, and post-launch iteration.

• 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.
• Help establish reusable product and engineering patterns that allow future features to be built more efficiently.
• Contribute to a product engineering culture grounded in ownership, quality, experimentation, user value, and practical execution.

Qualifications

• 10+ years of professional software engineering experience, including significant experience building and shipping production applications with Staff-level scope, leadership, and impact.
• Strong full-stack engineering skills, with the ability to work across user interfaces, APIs, services, integrations, data flows, and infrastructure-adjacent areas.
• Demonstrated experience owning complex product features from technical planning through implementation, launch, evaluation, and iteration.
• Experience building AI-enabled products or features, with practical familiarity in LLMs, RAG, agents, model/provider abstraction, data connectors, retrieval systems, or AI application architecture.
• Practical experience evaluating and using multiple AI tools, models, frameworks, or development harnesses, with the ability to explain tradeoffs, limitations, and preferred tooling choices.
• Experience working with open-source enterprise products, developer tools, infrastructure products, platform products, or technically complex enterprise software.
• Strong product judgment, including the ability to translate product direction, user feedback, partner input, customer needs, and product signals into practical technical plans and follow-up iterations.
• Comfort operating independently in a fast-changing product environment where product direction, technical architecture, and enterprise requirements are still being defined.
• Strong understanding of software quality, testing, maintainability, security, performance, reliability, and implementation tradeoffs.
• Strong collaboration and communication skills across engineering, product, design, open-source, and customer- or partner-facing stakeholders.
• Awareness of enterprise software needs, including privacy, security, administration, access control, compliance, deployment flexibility, supportability, and responsible AI considerations.

Requirements

• Experience with self-hosted, hybrid, customer-controlled, or regulated deployment environments.
• Familiarity with regulatory or compliance considerations affecting AI and enterprise software, such as the EU AI Act, Cyber Resilience Act, GDPR, HIPAA, SOC 2, or similar frameworks.
• Experience working with enterprise customers, public sector organizations, systems integrators, technical partners, or customer-facing engineering teams.
• Experience contributing to reusable product patterns, component libraries, technical frameworks, or shared engineering practices.
• Experience with instrumentation, observability, experimentation, or other approaches to understanding product adoption, reliability, and value.

Benefits

• Fully remote work & schedule flexibility
• Company-provided laptop
• Annual bonus program
• Monthly remote work stipend
• Annual professional development stipend
• Access to Coursera learning platform
• Industry conferences
• Company all-hands and team gatherings
• 24 days PTO per year (prorated)
• Your birthday off
• Year-end company shutdown
• 9 wellbeing days
• Public holidays
• Other paid leave
• Quarterly wellbeing stipend for personal / family activities
• 401(k) / RRSP contributions
• Health, dental, & vision insurance
• Disability insurance
• Life insurance
• Employee assistance program
• Paid parental leave
• Paid sick days