Weaviate

Weaviate powers semantic search, RAG, and intelligent agents in one AI-native vector database platform

51-100 employees
Database
Private Company

Remote-First Company

This company operates with a remote-first culture, allowing team members to work from anywhere.

Open Positions4

Location: EuropeFull-TimeAI Database InfrastructurePosted
  • Own the Weaviate Database roadmap by prioritizing across engineering teams and keeping the plan grounded in customer reality.
  • Partner with Weaviate Cloud teams to ensure the database roadmap surfaces required capabilities.
  • Define success metrics for major features and track outcomes post-ship.
  • Drive product direction across schema, storage, filtering, replication, cluster topology, and migrations.
  • Translate customer and operational pain into clear requirements and sequence dependency-heavy work across releases.
  • Translate applied research outcomes for search quality, compression, and new retrieval modes into shippable features.
  • Shape developer integrations with MCP, client SDKs, and other future integrations.
  • Run ongoing discovery with developers and enterprise customers to reduce time-to-value.
Product ManagementDistributed Systems
Showing 1 of 4 positions

About Weaviate

Weaviate pioneers the next generation of AI applications. You will build with an open-source, AI-native vector database. Developers use Weaviate for semantic search, retrieval-augmented generation (RAG), and intelligent agents. Weaviate helps them store, index, and query both structured data and high-dimensional vector embeddings. You will work with built-in model integration and hybrid search (vector + keyword) all in one system. Weaviate powers applications like recommendation systems, chatbots, and customer service agents. This technology serves various industries including finance, e-commerce, and healthcare. Weaviate was named one of Forbes' Top 50 AI startups and has over 1 million monthly downloads.

How We Work

Weaviate is a remote-first company with flexible work hours. Our team members work globally, enjoying the flexibility to work from anywhere, at any time. We operate with a strong sense of ownership and collaboration. Our teams prioritize results, empowering each individual to do their best work. We value transparency, kindness, collaboration, trust, and excellence. We rely on asynchronous communication, primarily Slack, respecting diverse work rhythms. We organize company trips to foster in-person connections.

Engineering at Weaviate

You will build the core of AI-native data infrastructure. Weaviate tackles complex challenges in vector database performance and scalability. This involves optimizing semantic and hybrid search across vast datasets. Our engineers translate cutting-edge AI research into shippable features. You will work with a modern tech stack including React, Next.js, TypeScript, and Golang. We emphasize robust CI/CD practices. You will integrate with diverse ML models and frameworks. This means crafting client libraries in Python, Go, TypeScript/JavaScript, and Java. You will empower developers to innovate with AI. Your work will directly impact how developers interact with and build on Weaviate.

Why Join Us

  • You will shape the future of AI applications, building an open-source vector database for millions of developers.
  • You will enjoy 100% remote work with flexible hours, giving you true autonomy over your schedule and location.
  • You will grow in an atmosphere that encourages continuous learning and personal development in ML/AI.
  • You will receive competitive compensation and a budget for home office equipment, conferences, and co-working spaces.
  • You will contribute to a product named one of Forbes' Top 50 AI startups, backed by $68M in funding.

Benefits & Perks

  • 100% remote with flexible work hours
  • Competitive compensation, including paid time off
  • Budget for conferences, co-working space, and home office equipment
  • MacBook provided for work
  • Atmosphere that encourages learning and personal growth

Tech Stack

web_serverwidgetsmobileframework

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