About the role

Senior Engineering Manager scaling Mozilla’s open-source Thunderbolt AI product. Leading engineering execution, people management, and production readiness for enterprise adoption.

Responsibilities

Lead engineering execution by clarifying priorities, ownership, timelines, risks, dependencies, and quality expectations.
Manage engineers and contractors through coaching, feedback, prioritization, performance support, and team development.
Contribute code, review technical work, evaluate tradeoffs, and maintain code quality and execution momentum.
Partner with technical and product leadership to translate product direction, AI strategy, user experience goals, and technical priorities into engineering plans.
Establish planning, review, release, and follow-through practices to improve predictability and reduce bottlenecks.
Maintain standards for code quality, testing, documentation, reliability, security awareness, maintainability, and release readiness.
Build product and architectural context across AI-enabled workflows, integrations, local-first or customer-controlled architectures, and release requirements.
Partner across product, design, enterprise-facing teams, and technical leadership to balance speed, user experience, privacy, quality, enterprise readiness, and sustainability.
Lead hiring, onboarding, and resource planning as the engineering team grows.
Help scale Thunderbolt from incubation into a reliable, enterprise-ready open-source AI product.

15+ years of professional software development experience, including significant experience in senior engineering leadership or complex product delivery roles.
5+ years of experience managing technical teams, including senior engineers or senior individual contributors.
Track record of leading a team that shipped polished, top-tier products held to a genuine standard of craft.
Ability to translate ambiguous product and technical direction into clear plans, ownership models, and delivery momentum.
Technical fluency with AI-enabled products, including LLM applications, RAG workflows, agents, enterprise search, automation, on-device AI, or AI evaluation.
Experience delivering complex applications across desktop, web, and mobile using Tauri, Electron, React Native, or comparable frameworks.
Experience with enterprise software, regulated environments, or similarly complex technical products, including security, privacy, compliance readiness, administration, integrations, and customer-controlled deployment models.
Practical experience with local-first, offline-capable, self-hosted, hybrid, on-premise, air-gapped, or other customer-controlled product architectures.
Experience improving engineering practices related to technical planning, code review, release readiness, testing, documentation, CI/CD, maintainability, or technical debt management.
Excellent communication skills around technical prioritization, release risk, ownership, quality expectations, and tradeoffs.