Solutions Engineer (US)

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.

Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.

As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.

As a Solutions Engineer at Qdrant, you'll partner closely with Sales and customers to translate business needs into technical solutions. You'll join discovery calls, lead demos, and help run proofs of concept, with support from experienced Solutions Engineers and our Forward Deployed Engineers when the work gets complex.
It's a front-row seat to how modern companies adopt AI at scale, and a role built for learning fast. You'll become a power user of vector search and its tradeoffs, and help make our deployments repeatable for the most common use cases.

• Discovery with Sales: join customer discovery calls, usually the second call, and turn what you hear into clear technical requirements.

• Demos and scoping: lead demos and align with customers on success criteria, architecture, and deployment approach.

• POC execution: scope proofs of concept and keep everyone aligned on timeline, deliverables, and next steps. You're the project lead, and you know when to pull in Forward Deployed Engineers for deeper technical work.

• Repeatable deployments and benchmarks: run standard deployment patterns and benchmarks across text, image, and video use cases, and advise on tradeoffs like disk versus RAM, or latency versus throughput.

• Playbooks for common use cases: turn what you learn into reusable demos, configurations, and guides the team can use again.

• 1 to 2+ years in a commercial, customer-facing role, pre-sales or post-sales, such as Solutions Engineering, Technical Account Management, Customer Success, or Support Engineering.

• Hands-on professional experience in a technical area that translates to Qdrant, such as data science, data or database engineering, infrastructure, or search.

• A mix of commercial mindset and technical curiosity: you're as comfortable with customers as with technical stakeholders.

• Strong communication skills, including running structured discovery and clarifying ambiguous requirements.

• Able to script and prototype quickly in Python, including with AI coding tools. You won't need to write production code.

• Organized and proactive: you keep projects moving and follow through.

• Hands-on experience with designing search infrastructure

• Experience running or supporting benchmarks or proofs of concept.

• Familiarity with RAG and embeddings, or with Kubernetes and cloud infrastructure tradeoffs.

• 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.

Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.

Come build with us!