Customer Support Engineer (EMEA)

Location: EMEA (Applications from outside EMEA will be automatically discarded)

We help businesses harness modern AI technologies by providing state-of-the-art neural search capabilities at scale. Our flagship product is the open-source Qdrant vector database, and we also offer a managed cloud solution for enterprise use.

We’re looking for a hands-on Customer Support Engineer who is eager to work closely with customers and solve complex technical issues. This is a high-impact opportunity for someone who leads by example and is excited to help shape the future of a growing support function in a fast-paced AI infrastructure startup.

Tasks

• Provide direct technical support to our customers, addressing issues related to our vector database and SaaS platform.

• Investigate and troubleshoot complex issues involving infrastructure, cloud, and database layers.

• Collaborate with engineering and platform teams to resolve customer problems and influence product improvements.

• Build and improve internal tooling for support workflows and observability.

• Participate in the on-call rotation to ensure timely response to critical issues.

• Create and maintain clear, useful internal and customer-facing documentation.

• Lead by example through excellent technical work, initiative, and collaboration with stakeholders.

Requirements

Must Have:

• Strong experience in a customer-facing support or infrastructure role.

• Proficiency in Python or similar language

• Good understanding of Kubernetes and managing workloads.

• Experience with cloud environments (AWS, GCP, or Azure).

• Excellent communication and collaboration skills across technical and non-technical audiences.

• Familiarity with vector databases or similar search technologies.

• A proactive, problem-solving mindset and willingness to take ownership.

• Based in the EMEA region (mandatory).

Nice to Have:

• Experience troubleshooting complex issues with customer production deployments.

• Experience with observability tools and automating support workflows.

• Understanding of DevOps tools and practices.

Benefits

• A remote-first, international team working on cutting-edge AI infrastructure.

• A competitive salary with additional perks.

• Flexible working hours and async-friendly culture.

• Regular team offsites and virtual events.

• Hardware budget – choose your own setup.