We are seeking a high-level commercial operator to build our OEM and Embedded AI business from the ground up.
You will identify, negotiate, and close complex "White-Label" and "Embedded" partnerships where Qdrant becomes the underlying vector engine for major ISVs, SaaS platforms, and Global Systems Integrators.
You will hunt for the "Whales"—the platforms that need semantic search, RAG, or recommendation engines native to their own products.
Simultaneously, you will align with the innovators.
You will forge strategic alliances with cutting-edge System Integrators and Developer Platforms that are building the next wave of AI.
You will ensure that when these builders define the modern AI stack—whether via a boutique AI consultancy or a next-gen agent framework—Qdrant is the embedded default.
You will define the "Stripe for AI" strategy for Qdrant.
Requirements
OEM Mastery: You have specific experience selling "Embedded," "OEM," or "White-Label" technology.
Technical Fluency: You can explain to a Product VP why they should embed Qdrant rather than building their own vector search on top of PostgreSQL or ElasticSearch.
Commercial Creativity: You are comfortable structuring non-standard partnerships.
Patience & Grit: You have the resilience to manage 6-12 month partnership cycles with multiple stakeholders (Product, Engineering, Legal, Procurement).
Collaboration: You can work hand-in-glove with our Solutions Architects to prove technical feasibility during the "design-in" phase of a partnership.
Tech Stack
ElasticSearch
Postgres
Benefits
Global Environment: A diverse, international team with the freedom to work remotely or in a hybrid setup.
Professional Growth: Continuous learning opportunities, with support for professional development and technical conferences.
Competitive Compensation: A comprehensive package that includes a competitive salary, benefits, and equity options.