4 дня назад
Staff Product Engineer, Enterprise AI
155 000 - 185 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Engineer, Enterprise AI (AI/full-stack): Building and shipping Thunderbolt features, integrations, and customer-specific customizations for enterprise AI deployments with an accent on full-stack development, partner integrations, and self-hosted infrastructure. Focus on supporting production deployments, diagnosing cross-layer issues, and turning one-off customer requirements into reusable product capabilities.
Location: Remote in Canada; permanent work authorization in Canada is required. Regular overlap with European business hours is expected.
Salary: $155,000–$185,000 CAD per year in Canada.
Company
Thunderbird Technologies Corporation develops open-source, privacy-respecting communication, productivity, and AI products, including Thunderbolt, an AI client for organizations that need control over their data, infrastructure, and model choices.
What you will do
- Build and ship full-stack features, integrations, and customer-specific customizations across the Thunderbolt codebase.
- Work with technical partners and enterprise customers to understand environments, requirements, and deployment constraints.
- Support pilots, proofs of concept, and early production deployments in partner-hosted and customer-controlled environments.
- Diagnose and fix complex issues across application, infrastructure, identity, integration, and data-access layers.
- Turn recurring customer requests into reusable product capabilities and contribute deployment feedback to roadmap decisions.
- Create documentation, deployment guidance, and runbooks that help partners resolve routine issues independently.
Requirements
- 10+ years of professional software engineering experience, including Staff-level production engineering scope and impact.
- Strong full-stack experience with TypeScript or JavaScript, component-based frontend frameworks, backend services, APIs, and integrations.
- Technical customer, partner, systems integrator, forward-deployed, consulting, or implementation engineering experience combined with hands-on coding.
- Experience building or supporting AI-enabled applications such as LLM platforms, RAG systems, agents, enterprise search, or data connectors.
- Understanding of enterprise deployment concerns including authentication, identity providers, access control, self-hosted and hybrid infrastructure, observability, and reliability.
- Applicants must reside in Canada and have permanent Canadian work authorization; visa sponsorship is not provided.
Nice to have
- Experience with self-hosted, private cloud, sovereign, or regulated deployment environments.
- Experience with Docker, Kubernetes, CI/CD, and cloud deployment.
- Experience with European enterprise or public-sector customers, data residency, or data sovereignty requirements.
- Experience supporting security reviews, privacy assessments, or enterprise procurement processes.
- Open-source contributions or experience in open, highly collaborative engineering environments.
Culture & Benefits
- Fully remote work with schedule flexibility and collaboration across a distributed team and open-source community.
- Company-provided laptop, monthly remote work stipend, annual professional development stipend, Coursera access, and industry conferences.
- 24 days of PTO, birthday leave, year-end company shutdown, wellbeing days, public holidays, and other paid leave.
- RRSP contributions, health, dental, and vision insurance, disability and life insurance, employee assistance, paid parental leave, and paid sick days.
- Annual bonus program, quarterly wellbeing stipend, company all-hands, and team gatherings.
Hiring process
- Submit a thoughtful cover letter and complete the screening questions with authentic responses.
- Generic or unoriginal AI-generated application responses may result in disqualification.
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