VP of Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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, 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.
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