As a
Solutions Engineer, you'll take ownership from day one, acting as a technical guide for our clients. We're looking for someone with a strong builder mindset who's self-reliant and truly passionate about vector search. An entrepreneurial streak will set you up for success in this role.
What you will own- Support the Technical-to-Commercial Translation: Help translate architectural requirements (Multi-AZ, sharding, replication) into accurate pricing models and contract terms, working alongside senior team members to protect deal value.
- Help Drive Deal Execution: Coordinate with Support, Product, and Engineering to unblock proofs of concept (POCs), and keep the technical sales workflow moving in Jira and Salesforce.
- Flag Deployment Risks Early: Learn to spot noisy neighbour issues, latency bottlenecks, and resource contention before they affect renewals or expansions.
- Support Architectural Reviews and Migration Assessments: Join discovery sessions to help validate use cases and map migration paths from legacy search engines like Elastic, Solr, and OpenSearch to Qdrant.
- Contribute to Resilient Architecture Design: Help spec high-availability search clusters that meet customer SLAs and throughput needs.
- Build Trust with Client Stakeholders: Act as a technical point of contact during the evaluation process, helping customers reach value quickly.
Who you are- 2-4 years of technical, customer-facing experience in Sales Engineering, Solutions Architecture, or Technical Consulting.
- Background in data science, computer engineering, or a previous DevOps role.
- Scripting ability in Python or Bash, used to validate business value rather than for its own sake.
- Ability to calculate total cost of ownership (TCO) and estimate hardware requirements (RAM, CPU, disk) for distributed systems.
- Experience with Kubernetes and cloud platforms (AWS, GCP, or Azure), and how infrastructure choices affect cost and performance.
- Strong communication skills: comfortable explaining technical concepts to both engineers and business stakeholders.
Nice to have- Experience with vector databases or search technologies (Elasticsearch, Solr, OpenSearch, Lucene, or similar).
- Exposure to enterprise procurement processes, infosec questionnaires, or MSA redlines.
Why join us- A remote-first, international team working on cutting-edge AI infrastructure.
- A competitive salary with additional perks.
- Flexible working hours and async-friendly culture.
- High ownership and real impact.
- Open-source, engineering-driven culture.
- Choose your own laptop equipment.
For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
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