Назад
Company hidden
2 часа назад

VP of Engineering (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
c_level
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

VP of Engineering (AI): Leading and scaling a distributed engineering organization for a vector search engine with an accent on cloud platform growth, enterprise reliability, and technical direction. Focus on scaling B2B SaaS infrastructure, optimizing core database performance, and establishing engineering excellence in a high-growth environment.

Location: Remote (Preference for candidates based in Europe)

Company

hirify.global is the leading open-source Vector Search Engine powering the next generation of AI applications, from semantic search and RAG to recommendation systems and AI agents.

What you will do

  • Lead and scale a distributed engineering organization across core database infrastructure, cloud platform, and developer experience.
  • Partner with the leadership team on product roadmap and architectural decisions to translate strategy into executable plans.
  • Drive reliability, performance, and velocity across the core engine, hirify.global Cloud, Hybrid Cloud, and Edge products.
  • Establish engineering excellence including code quality standards, incident response, observability, and operational rhythms.
  • Define and execute the engineering hiring plan, focusing on Rust, distributed systems, and ML infrastructure talent.
  • Champion a culture of rigor, ownership, and technical craft.

Requirements

  • 10+ years in engineering leadership, including senior roles in cloud/platform engineering.
  • Proven track record in building and scaling B2B SaaS platforms and managing distributed teams.
  • Deep expertise in distributed systems, Kubernetes, and cloud-native architectures.
  • Experience operating high-scale, production-critical infrastructure in AWS, GCP, or Azure.
  • Strong understanding of DevOps, CI/CD, and infrastructure-as-code.
  • Knowledge of enterprise security and compliance frameworks.

Nice to have

  • Experience with search engines, databases, storage systems, or data infrastructure.
  • Experience working within open-source companies.
  • Familiarity with AI/ML infrastructure or vector search systems.

Culture & Benefits

  • Remote-first culture with a globally distributed, high-talent engineering team.
  • Opportunity to shape the future of AI infrastructure and lead cloud strategy.
  • Competitive compensation package and equity.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →