7 дней назад
Staff Product Engineer (AI)
155 000 - 185 000CAD
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Product Engineer, Enterprise AI (AI/full-stack): Building Thunderbolt, an open-source enterprise AI platform for chat, search, research, workflow automation, administration, and integrations with an accent on full-stack product engineering and AI application architecture. Focus on translating ambiguous product and enterprise requirements into reliable shipped features, evaluating LLM and AI tooling, and improving adoption, security, and maintainability after launch.
Location: Remote, limited to applicants residing in Canada or the United States with permanent work authorization
Salary: CAD 155,000–185,000 in Canada; USD 185,000–220,000 in the US
Company
’s MZLA Technologies Corporation develops Thunderbird and Thunderbolt, open-source privacy-respecting communication, productivity, and AI products.
What you will do
- Own Thunderbolt product features from concept and technical planning through launch, adoption, and iteration.
- Build, integrate, test, and ship full-stack capabilities for AI-powered chat, search, research, workflow automation, administration, and enterprise workflows.
- Translate user needs, product direction, partner feedback, and enterprise requirements into executable technical plans and complete product experiences.
- Collaborate with product, design, engineering, enterprise-facing teams, contractors, and open-source contributors.
- Use AI-assisted development tools while maintaining quality, security, reliability, and maintainability.
- Instrument features, review adoption and reliability signals, identify product gaps and technical risks, and establish reusable engineering patterns.
Requirements
- 10+ years of professional software engineering experience, including Staff-level scope, leadership, and impact.
- Strong full-stack skills across user interfaces, APIs, services, integrations, data flows, and infrastructure-adjacent areas.
- Experience owning complex product features from planning through implementation, launch, evaluation, and iteration.
- Experience building AI-enabled products or features, with practical knowledge of LLMs, RAG, agents, model and provider abstraction, data connectors, retrieval systems, or AI application architecture.
- Experience with open-source enterprise products, developer tools, infrastructure products, platform products, or technically complex enterprise software.
- Permanent work authorization and residence in Canada or the United States are required; visa sponsorship is not provided.
Nice to have
- Experience with self-hosted, hybrid, customer-controlled, or regulated deployments.
- Familiarity with the EU AI Act, Cyber Resilience Act, GDPR, HIPAA, SOC 2, or similar frameworks.
- Experience with enterprise customers, public sector organizations, systems integrators, technical partners, or customer-facing engineering.
- Experience with reusable product patterns, component libraries, instrumentation, observability, or experimentation.
Culture & Benefits
- Fully remote work with schedule flexibility across time zones.
- Collaboration with a distributed team and global open-source community.
- Company-provided laptop, annual bonus, remote work stipend, and professional development stipend.
- 24 days of PTO, wellbeing days, public holidays, paid leave, and a year-end company shutdown.
- Health, dental, vision, disability, and life insurance; retirement contributions; paid parental and sick leave.
Hiring process
- Submit a cover letter and screening-question responses through the career page.
- Responses should reflect the candidate’s own experience and perspective; generic AI-generated answers may lead to disqualification.
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