L
LanceDBvia Ashby
Senior UX/AX Engineer
Americas timezones$180K - $250K/yrPosted 1w ago
OtherSeniorFull-time#ai-lab
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About the Role
ROLE
- Engineer focusing on providing optimal user and agent experiences on the LanceDB platform.
- Takes high-level direction (e.g., "identify where UX is significant ahead of AX and drive more parity") and drives to results
- Success looks like a LanceDB platform that incorporates compelling user and agent experiences for exploring and managing their multimodal data, enabling more adoption and increased usage.
Day-to-day
- Work with the rest of engineering to optimize user and agent experience across their parts of the platform.
- Build scalable backends for LanceDB Enterprise to support user and agent experiences across billion-scale datasets.
- Our tech stack: Rust, Typescript, React, Python, k8s, Terraform, CSPs
Qualifications
- 8+ years as a software engineer
- Experience working on frontend and backend parts of large-scale data platforms (e.g., databases, data infra, ML/AI systems), including work on concurrency and multitenancy
- Experience crafting UIs using Typescript, React/next.js/Vercel, CLIs, and APIs
- Experience building elegant user-oriented and agent-oriented experiences
- Experience building infrastructure with CSP stacks, Terraform, and k8s
- Demonstrated ownership of ambiguous projects with minimal guidance
- 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
Please apply for this role only if you meet all of the above qualifications, and agree with the day-to-day responsibilities.
About LanceDB
LanceDB is a developer-friendly, open-source data platform for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale datasets, LanceDB is the best foundation for your AI workloads.
- Engineer focusing on providing optimal user and agent experiences on the LanceDB platform.
- Takes high-level direction (e.g., "identify where UX is significant ahead of AX and drive more parity") and drives to results
- Success looks like a LanceDB platform that incorporates compelling user and agent experiences for exploring and managing their multimodal data, enabling more adoption and increased usage.
Day-to-day
- Work with the rest of engineering to optimize user and agent experience across their parts of the platform.
- Build scalable backends for LanceDB Enterprise to support user and agent experiences across billion-scale datasets.
- Our tech stack: Rust, Typescript, React, Python, k8s, Terraform, CSPs
Qualifications
- 8+ years as a software engineer
- Experience working on frontend and backend parts of large-scale data platforms (e.g., databases, data infra, ML/AI systems), including work on concurrency and multitenancy
- Experience crafting UIs using Typescript, React/next.js/Vercel, CLIs, and APIs
- Experience building elegant user-oriented and agent-oriented experiences
- Experience building infrastructure with CSP stacks, Terraform, and k8s
- Demonstrated ownership of ambiguous projects with minimal guidance
- 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
Please apply for this role only if you meet all of the above qualifications, and agree with the day-to-day responsibilities.
About LanceDB
LanceDB is a developer-friendly, open-source data platform for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale datasets, LanceDB is the best foundation for your AI workloads.
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