Jobs / Moz***
Senior Engineering Manager, AI Product (Thunderbolt)
Moz*** · Toronto, Ontario, Canada
Visa sponsorship details are locked. Unlock company name and apply link with .
Toronto, Ontario, CanadaHybrid
Remuneration
Not specified
Location
Toronto, Ontario, Canada
Visa sponsorship
Sponsors visa
Job summary
Thunderbird is one of the world’s most trusted open-source email applications, empowering more than 20 million people globally. At MZLA, the team behind Thunderbird, we build privacy-respecting communication and productivity tools that help people manage their digital lives while staying in control of their data. We are open source by design.
Benefits
And employment policies.To learn more, visit www.thunderbird.net and www.thunderbolt.io.The opportunityThunderbolt is an open-source, cross-platform AI product initiative from the teaThunderbolt is designed to support flexible deployment models, integrations withWe benchmark our base salaries to local markets and target the 60th percentile oThe salary ranges for this role are:Canada: $190,000 - $220,000 CADIn addition to competitive salaries, we offer a comprehensivePackage designed to support your whole self.Work & careerFully remote work & schedule flexibility
Qualifications
- 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.
- What You Bring
- 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
Skills
CommunicationLeadership
Certifications
ISO 27001
Degrees
Associate
Languages
ArabicPolish
Industry
AutomotiveDefenseEnergyInsurance
Company size
EnterpriseSmbStartup