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 |
|---|---|---|
| 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 |
| 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 |