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4 дня назад

Staff Product Engineer (Enterprise AI)

185 000 - 220 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Product Engineer (Enterprise AI): Building full-stack features, integrations, and customer-specific customizations for Thunderbolt, an open-source AI client for enterprise deployments, with an accent on partner enablement, enterprise infrastructure, and production reliability. Focus on supporting self-hosted and hybrid deployments, solving complex identity, integration, and data-access issues, and turning deployment-specific requirements into reusable product capabilities.

Location: Remote US; candidates must reside in the United States and have permanent US work authorization. Regular overlap with European business hours is expected. Visa sponsorship is not available.

Salary: $185,000–$220,000 USD annually for the US market.

Company

Thunderbird Technologies Corporation develops open-source, privacy-respecting communication, productivity, and AI products, including Thunderbolt for enterprise organizations.

What you will do

  • Build and ship full-stack features, integrations, and customer-specific customizations across front-end UI, APIs, services, and deployment configuration.
  • Work directly with technical partners and enterprise customers to understand environments, requirements, and constraints, then turn them into technical plans and production software.
  • 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 and access, integration, and data-access layers.
  • Convert recurring customer requests into reusable product capabilities and provide deployment documentation, guidance, and runbooks.
  • Use AI-assisted development tools while maintaining strong standards for quality, security, and maintainability.

Requirements

  • 10+ years of professional software engineering experience, including significant Staff-level production delivery and impact.
  • Strong full-stack skills with modern TypeScript or JavaScript, component-based front-end frameworks, back-end services, APIs, and integrations.
  • Experience working directly with customers, partners, or systems integrators while also writing production code.
  • 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.
  • Strong communication, collaboration, independent judgment, and experience operating in an early-stage product environment.

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 sovereignty requirements.
  • Experience supporting security reviews, privacy assessments, enterprise procurement, or open-source projects.

Culture & Benefits

  • Fully remote work with schedule flexibility and collaboration across a distributed international team.
  • Company-provided laptop, monthly remote-work stipend, annual professional-development stipend, and access to Coursera.
  • Annual bonus program, industry conferences, company all-hands, and team gatherings.
  • 24 days of PTO, birthday leave, year-end shutdown, wellbeing days, public holidays, and other paid leave.
  • 401(k) contributions, health, dental, and vision insurance, disability and life insurance, paid parental and sick leave, and wellbeing support.

Hiring process

  • Submit a cover letter and thoughtful responses to the screening questions through the career page.
  • Applications are reviewed for authentic, original responses; generic AI-generated answers may result in disqualification.

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