Qdrant Edge Evangelist

Qdrant Edge brings high-performance vector search and AI capabilities directly to edge environments enabling fast private and efficient AI applications on devices in browsers and in constrained environments. It empowers developers to run intelligent search and retrieval wherever their users are.

Were looking for a hands-on technical evangelist to accelerate adoption of Qdrant Edge and help shape the future of edge-native AI.

Tasks

The Role
As the Qdrant Edge Evangelist you will be the technical and public-facing champion of Qdrant Edge. You will build compelling demos create integrations with modern AI stacks represent Qdrant at global events and develop partnerships that expand the ecosystem.

This is a highly cross-functional role spanning engineering developer relations product partnerships and growth.

What Youll Do

Build & Showcase

• Design and build high-quality demos that showcase Qdrant Edge in real-world scenarios (AI agents RAG on-device browser-based vector search IoT mobile etc.).
• Create reference architectures and example integrations with popular frameworks (LangChain LlamaIndex OpenAI-compatible APIs browser runtimes WASM etc.).
• Publish technical tutorials blog posts and videos demonstrating practical use cases.
• Develop reusable demo kits for conferences and partner enablement.

Drive Ecosystem & Partnerships

• Identify and develop strategic partnerships (frameworks device vendors browser runtimes AI toolkits).
• Collaborate with partners on joint demos blog posts webinars and announcements.
• Support integration efforts with key ecosystem players.
• Act as a technical liaison between Qdrant and external developer communities.

Represent Qdrant Globally

• Speak at conferences meetups and AI/edge events.
• Host workshops webinars and technical deep dives.
• Engage with developer communities online (GitHub Discord X LinkedIn etc.).
• Serve as the public technical voice of Qdrant Edge.

Drive Growth

• Identify high-impact use cases that unlock new market segments.
• Gather feedback from developers and partners to inform product direction.
• Support go-to-market initiatives with technical positioning and messaging.
• Track adoption patterns and help shape ecosystem strategy.

Requirements

What Were Looking For

Technical Skills

• Strong experience with modern AI stacks (RAG LLM tooling embeddings).
• Experience building production-grade demos or developer tools.
• Solid understanding of vector search and retrieval systems.
• Experience with edge runtimes (WASM browser environments serverless mobile IoT) is a strong plus.
• Proficiency in at least one major programming language (Python TypeScript Rust Go).

Evangelism & Communication

• Proven experience speaking at technical conferences or events.
• Ability to translate complex systems into compelling practical narratives.
• Strong technical writing skills.
• Comfortable creating content (blogs videos workshops).

Growth & Partnerships

• Experience building or supporting developer ecosystems.
• Strong networking skills within AI or developer communities.
• Entrepreneurial mindset with a bias toward action.

What Success Looks Like

• High-quality demos that clearly differentiate Qdrant Edge.
• Growth in community adoption and integrations.
• Strategic ecosystem partnerships established and nurtured.
• Increased visibility of Qdrant Edge at major AI and edge events.
• Clear feedback loops influencing product roadmap.

Benefits

Why Join Qdrant

• Work on cutting-edge AI infrastructure.
• Shape the future of edge-native vector search.
• Collaborate with a globally distributed highly technical team.
• High autonomy and real impact on product and ecosystem direction.

This is a remote position for people based near major European tech hubs like Berlin London Paris etc.