Weaviate Jobs

Weaviate is seeking a Director of Product to own product strategy and decision-making for their AI-native vector database, cloud offering, and agent products. This role involves significant customer interaction to understand enterprise requirements and translate them into a product roadmap that engineering can execute. The Director will work closely with the CTO on vision and tech leads on feasibility, acting as a player-coach by managing a small product team while also owning specific product areas. The ideal candidate is comfortable engaging with enterprise customers, making data-driven prioritization decisions, and collaborating effectively with engineering teams, understanding the trade-offs involved in product development.

WRITER is a leading enterprise AI company focused on expanding human capacity through superintelligence. Our platform enables businesses to build and deploy AI agents grounded in their data, powered by enterprise-grade LLMs. We are seeking a Software Engineer, Generative AI to build the secure, scalable foundation for our AI solutions in complex corporate environments. This role is for a well-rounded engineering generalist with a strong focus on generative AI and a whole-systems mindset for architectural design. You will own projects from proposal to deployment, shaping the future of AI and contributing to a product that is changing how the world works.

WRITER is seeking a Software Engineer, Generative AI to join their team. This role is at the forefront of expanding human capacity by building the secure, scalable foundation that allows generative AI solutions to thrive in complex corporate environments. The ideal candidate is a well-rounded engineering generalist who leans heavily into generative AI and brings a whole-systems mindset to architectural design. You will own projects from proposal to deployment, shaping the future of AI and contributing to a product that's changing how the world works. This is a hybrid role based out of San Francisco, New York City, or London.

Embedded Infrastructure Engineers at Sarvam design, build, and maintain the data infrastructure essential for deploying AI systems at client sites. You will collaborate with Embedded Data Scientists and Strategic Deployment Engineers to ensure the reliable and performant ingestion, storage, querying, and serving of terabyte-scale datasets to AI reasoning engines. This involves constructing and managing data platforms capable of handling large volumes of structured records, documents, imagery, audio, and geospatial data, including databases, object stores, ingestion pipelines, and processing layers. You will be responsible for making key decisions regarding storage architecture, indexing strategies, pipeline orchestration, and system performance, often in challenging environments like air-gapped or operationally sensitive settings that preclude the use of standard cloud services or enterprise tooling. Ultimately, you will own the reliability and performance of the infrastructure layer for your assigned accounts.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. As a Backend Engineer, you will design and implement the core system infrastructure powering Sarvam's 'atoms', including MCP servers, on-prem deployment tooling, document ingestion pipelines, agentic backends, and API layers. These systems operate in constrained environments, and the architecture decisions you make will have a lasting impact. You will ship real systems and be accountable for their performance in the field.