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Thunderbolt is an open-source, cross-platform AI product initiative from the team behind Thunderbird. It is being built around a clear principle: people and organizations should be able to use AI while staying in control of their data, infrastructure, model choices, and long-term options. Thunderbolt is designed to support flexible deployment models, integrations with AI tools and workflows, and use cases across desktop, web, and mobile. We are looking for a Senior Engineering Manager to lead engineering execution, people management, and operating practices for Thunderbolt as it moves from R&D incubation into a more mature product and enterprise development phase.
Job Responsibility
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
Partner across product, design, enterprise-facing teams, and technical leadership to balance speed, user experience, privacy, quality, enterprise readiness, and long-term sustainability
Lead hiring, onboarding, and resource planning as the Thunderbolt engineering team grows
Help Thunderbolt scale from an incubation-stage product into a reliable, enterprise-ready open-source AI product
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
A track record of leading a team that shipped polished, top-tier products held to a genuine standard of craft
Strong ability to translate ambiguous product and technical direction into clear plans, ownership models, and delivery momentum
Technical fluency with AI-enabled products, including the ability to evaluate tradeoffs across areas such as LLM applications, RAG workflows, agents, enterprise search, automation, on-device AI, or AI evaluation
Demonstrated experience delivering complex applications across multiple platforms, such as desktop, web, and mobile, using technologies such as 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, including tradeoffs related to data storage, sync, privacy, reliability, and user experience
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
Nice to have
Experience working in open-source or maintainer-style engineering environments
Experience with compliance or security standards such as SOC 2, HIPAA, ISO 27001, or similar frameworks
Experience helping take a product from zero to one in a startup or new product initiative
What we offer
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