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Staff Product Engineer, Enterprise AI

Mozilla· Thunderbird
Apply on company site
RemoteCA$155k - CA$185kfull-timePosted 1mo ago

About the role

Staff Full-Stack Product Engineer focused on Thunderbolt, an open-source AI client for organizations, working with partners and enterprise customers to build, deploy, and maintain production code, integrations, and customizations.

Responsibilities

  • Build and ship full-stack features, integrations, and customer-specific customizations in the Thunderbolt codebase, from front-end UI through APIs, services, and deployment configuration.
  • Work directly with technical partners and enterprise customers to understand environments, requirements, and constraints, and turn them into technical plans and working software.
  • Support pilots, proofs of concept, and early production deployments, including partner-hosted and customer-controlled environments.
  • Diagnose and fix complex issues across application, infrastructure, identity and access, integration, and data-access layers, including bugs and regressions requiring code changes and releases.
  • Maintain customer-specific customizations over time as the core product evolves.
  • Identify customer requests that should become general product capabilities and collaborate with product/engineering to generalize them.
  • Provide deployment feedback to roadmap and prioritization discussions.
  • Write documentation, deployment guidance, and runbooks for partners to handle routine issues.
  • Use AI-assisted development tools judiciously to balance speed with quality, security, and maintainability.]
  • qualifications([
  • 10+ years of professional software engineering experience with Staff-level impact.
  • Strong full-stack skills in modern TypeScript/JavaScript, component-based front-end frameworks, and back-end services/APIs/integrations.
  • Experience working directly with customers/partners/systems integrators in a technical role where you also wrote code.
  • Experience building or supporting AI-enabled applications (LLM platforms, RAG, agents, enterprise search, data connectors).
  • Solid understanding of enterprise deployment concerns (authentication providers, access control, self-hosted/hybrid infra, observability, reliability).
  • Judgment on when to build vs generalize vs push back on requests.
  • Clear communication to technical and non-technical stakeholders.
  • Strong collaboration with product managers, designers, engineers, and cross-functional teams.
  • Ability to operate independently in an early-stage product where requirements/architecture evolve.

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.

Skills

Required:Full-stack software engineeringAI-enabled product development

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
  • 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
Last updated Oct 7, 2026. Interested? Apply on the company site.

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