Senior Engineering Manager, AI Product (Thunderbolt)
New
M
MozillaOpen Source AI
Remote Canada, Global collaboration across time zonesFull-TimeManager
Salary$190,000 - $220,000 CAD
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Job Details
- Experience
- 15+ years of professional software development experience
- Required Skills
- Artificial IntelligenceReact NativeSoftware ArchitectureCI/CDLLM
Requirements
- 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.
- Ability to translate ambiguous product and technical direction into clear plans, ownership models, and delivery momentum.
- Technical fluency with AI-enabled products (LLMs, RAG, agents, enterprise search, automation, or on-device AI).
- Experience delivering complex applications across desktop, web, or mobile using Tauri, Electron, React Native, or comparable frameworks.
- Experience with enterprise software, regulated environments, or complex technical products including security, privacy, and compliance.
- Practical experience with local-first, offline-capable, self-hosted, or customer-controlled architectures.
- Experience improving engineering practices related to planning, CI/CD, testing, documentation, and maintainability.
- Excellent communication skills around technical prioritization, risk, and tradeoffs.
Responsibilities
- Lead engineering execution by clarifying priorities, ownership, timelines, risks, dependencies, and quality expectations.
- Manage engineers and contractors, including coaching, feedback, prioritization, performance support, and team development.
- Stay close to the codebase by contributing code, reviewing technical work, evaluating tradeoffs, and helping the team maintain momentum and quality.
- Partner with technical and product leadership to turn product direction, AI strategy, user experience goals, and technical priorities into coordinated engineering plans.
- Establish planning, review, release, and follow-through practices that improve predictability and reduce bottlenecks.
- Maintain high standards for code quality, testing, documentation, reliability, security awareness, maintainability, and release readiness.
- Build strong product and architectural context across AI-enabled workflows, integrations, local-first or customer-controlled architectures, and release requirements.
- Lead hiring, onboarding, and resource planning as the engineering team grows.
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