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LanceDB

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  • Senior Fullstack Engineer

    HQ | Remote

    remote Salary not disclosed

    Senior Fullstack Engineer HQ | Remote ABOUT LANCEDB LanceDB http://lancedb.com/ is a developer-friendly, open-source database for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking and challenging applications today. ABOUT THE ROLE We're seeking an experienced Fullstack Engineer to join our world-class team, polishing the user experience of the frontier of high-performance vector databases in the cloud. YOU'LL BE: - Creating the most compelling experience for users to explore and manage their multimodal data. - Closely working with the rest of team and designers to optimize user experience. - Building scalable backends for LanceDB Cloud that offer a serverless experience for billion-scale datasets - Fast pace with a stellar team of core contributors to incredible projects like Python Pandas, Arrow, Delta-rs, Hadoop, to define the next generation data system for AI - Future leadership opportunities as the team grows. - Be the driving force to raise the bar and strive for better architecture and best practices within the company. - Our tech stack: Typescript, React, Python, Rust, AWS / Google Cloud / Azure / K8s / Terraform REQUIREMENTS: - You have at least 6 years of experience in developing front-end applications. - You have a thorough understanding of Typescript, React/Next.js/Vercel, HTML, CSS, and can independently work with designers to build stunning applications. - You have worked on both frontend UIs as

  • Senior Solutions Engineer

    San Francisco | OnSite

    onsite Salary not disclosed

    Senior Solutions Engineer San Francisco | OnSite ABOUT LANCEDB LanceDB http://lancedb.com/ is a developer-friendly, open-source data lake for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking applications and challenging requirements today. ABOUT THE ROLE We are looking for a Senior Solutions Engineer who blends deep technical understanding of AI/ML infrastructure with excellent communication and solution-building skills. In this role, you will serve as a trusted advisor to prospective customers, design partners, and strategic accounts-bridging the gap between cutting-edge AI engineering and real-world business use cases. This role is ideal for someone who thrives at the intersection of technical depth and customer interaction, and who enjoys crafting solutions, demos, and integrations that showcase LanceDB's strengths in production environments. YOUR RESPONSIBILITIES WILL INCLUDE - Serve as the technical lead in pre-sales conversations-partnering with account executives to scope, solution, and articulate the value of LanceDB for customer-specific workflows. - Lead technical discovery and architecture design sessions with prospects across verticals including AI infra, LLM ops, and multimodal data pipelines. - Build and deliver custom demos and proof-of-concepts to highlight how LanceDB solves challenging RAG, vector search, and feature engineering problems. - Act as the bridge between customer pain points and our engineering/product teams-informing roadmap priorities with real-world feedback. - Partner closely with design partners and early adopters to ensure successful onboarding and expansion.

  • Senior Software Engineer

    HQ | Remote

    remote Salary not disclosed

    Senior Software Engineer HQ | Remote ABOUT LANCEDB LanceDB http://lancedb.com/ is the preeminent data platform for multimodal AI use cases. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking applications and challenging requirements today. ABOUT THE ROLE We're looking for a Senior Software Engineer to help expand the reach of Lance and LanceDB within the broader data infrastructure ecosystem. You'll work at the intersection of high-performance computing, big data, and open-source systems. You will contribute scale and performance improvements, integrations with the wider data and AI ecosystem, simplifying distributed operations, and usability and maintainability enhancements. YOU'LL BE RESPONSIBLE FOR - Designing and maintaining efficient distributed Lance dataset operations - Building efficient indices to enable predicate pushdown and accelerate queries in Spark, Ray, or Trino - Working on table formats, data encodings, and various aspects of the Lance format in Rust - Driving open-source community efforts to integrate the Lance format with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems - Operating and improving internal data processing infrastructure - Promoting the Lance format in open-source communities and at Big Data conferences REQUIREMENTS - 10+ years of experience building high-performance databases, big data systems, or large-scale data services - Deep understanding of internals of open-source Big Data or AI training systems (e.g., Hadoop, Spark, Flink, Ray, Iceberg, Delta Lake, Hudi, ClickHouse, Trino,

  • Senior Product Manager

    HQ | Remote

    remote Salary not disclosed

    Senior Product Manager HQ | Remote Role - Our first product-focused engineer - Takes high-level direction (e.g., "analyze X") and drives to results - Success looks like a LanceDB platform that is even more tightly focused on our ICP, and providing clarity on what engineering builds Day-to-day - Shape roadmap with CTO + eng leadership - Deep dives into competitors, users, and adjacent tech - Talk to users constantly; turn insight into product changes - Drive cross-team decisions on priorities (eng, field, support) - Work with engineering directly as a technically-respected peer Qualifications - 5-8+ years as a software engineer or in a highly technical product role - Shipped and iterated on products end-to-end - Experience working on large-scale data platforms (e.g., databases, data infra, ML/AI systems) - Understanding of AI researcher persona - what success looks like for them, what are their pain points, what increases their happiness - Regularly engaged with users (interviews, support, design partners, or community) - Demonstrated ownership of ambiguous projects with minimal guidance - Experience influencing or driving roadmap / prioritization decisions - Strong written and verbal communication (can drive alignment across teams) - Comfortable using data (metrics, experiments, usage) to guide decisions - Experience contributing to or working with open source communities Why - Help define and execute product at LanceDB - Work directly with teams building real AI systems in production - Sit at the center of infra + product-few roles like this exist - High ownership, zero PM theater - Early

  • Senior Support Engineer

    HQ | Remote

    remote Salary not disclosed

    Senior Support Engineer HQ | Remote About LanceDB LanceDB is a high-performance, open-source, cloud-native database built for multimodal workflows. From vector search at multi-billion scale to real-time retrieval, feature engineering, and analytics across large-scale datasets, LanceDB powers AI data infrastructure. We're looking for a hands-on, technically strong Support Engineer who will be the bridge between our engineering team and enterprise users of LanceDB, helping our customers debug distributed databases built in Rust. YOUR ROLE - As one of the early team members, build our support infrastructure and practices while handling customer cases: - Develop and maintain knowledge-base articles, runbooks, and support tooling that document common issues, best practices, deployment patterns, and performance tuning. - Contribute to metrics around support response-times, resolution times, customer satisfaction, and help build a scalable support organization as we grow. - Work proactively: identify recurring issues, escalate product bugs or UX gaps, propose improvements in the support process, and advocate for the customer in the roadmap. - Serve as one of the primary technical points of contact for our customers: troubleshoot issues, respond to escalations, and guide customers through full lifecycle support for large-scale deployments of LanceDB. - Work in close collaboration with our engineering and product teams to reproduce issues, debug root causes, propose remediation, and drive fixes or enhancements. - Dive deeply into distributed database internals: query execution, storage engine, indexing, sharding, replication, fail-over, and cloud orchestration (Kubernetes, serverless-style deployments). - Use and contribute to Rust codebases: reproduce customer environments, inspect logs, build diagnostic