Weaviate
Data AI · Vector DB
Data AI · Vector DB
Weaviate currently has 3 active AI-related roles in our index. The most common open titles are: Applied Research Intern, Developer Advocate Intern, Product Engineer - Growth (Remote/GMT/CET). Most positions are in Engineering.
Weaviate's active AI hiring is concentrated in: application (33%), agents (33%), serving infrastructure (33%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Weaviate most frequently reference: vector db, rag, recommender systems, inference infra, model serving.
In the past 30 days, Weaviate has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Applied Research Intern Weaviate is seeking an Applied Research Intern to contribute to their AI-native vector database. The intern will work on projects related to vector indexes, graph algorithms, information retrieval, RAG, and end-to-end applications, including fine-tuning embedding models, developing recommendation systems, and optimizing model inference. The role involves low-level work on core database components and potential contributions to cloud-storage-based vector indexes. | ServeAgent | 7 |
| Product Manager, Database Product Manager for Weaviate's core database, focusing on storage, schema, developer integrations, and search quality. The role involves owning the roadmap, translating customer needs into requirements, and ensuring successful market launches. Experience with developer-facing or infrastructure products is required, with a preference for those familiar with databases, search infrastructure, or AI/ML developer tooling. | — | 5 |
| Product Engineer - Growth (Remote/GMT/CET) Product Engineer focused on growth for Weaviate Cloud, an AI-native vector database. The role involves building and iterating on PLG features, identifying and resolving user journey friction through data insights, and collaborating cross-functionally to improve the end-to-end user experience. The engineer will own the full loop of instrumenting, shipping, measuring, and iterating on product features. | Ship | 5 |
| Developer Advocate Intern Weaviate is seeking a Developer Advocate Intern to create social media content, technical visualizations, and example projects using their AI-native vector database. The role involves communicating complex AI concepts to a technical audience and supporting blog and video content creation. | Agent | 5 |
| Developer Marketing Manager This role is for a Content & Community Operations Manager at an AI startup (Weaviate) that develops an AI-native vector database. The role is hybrid (60% operations, 40% creative execution) and focuses on managing social media channels, creating content (visuals, videos, written), engaging with the community, and leveraging AI tools for content marketing. The company emphasizes learning and growth in the AI field. | — | 5 |