← All roles

Senior Customer Success Engineer

LanceDB· Field Engineering
Apply on company site
United States | Canada$180k - $250kFull-timePosted 11mo ago

About the role

Senior Customer Success Engineer at LanceDB providing technical leadership to strategic customers, guiding onboarding, adoption, and expansion, and acting as a liaison between customers, product, and engineering to drive adoption and product improvement.

Responsibilities

  • Partner closely with customers to design, deploy, and optimize LanceDB in production environments, ensuring reliability, scalability, and performance for distributed, cloud-native workloads.
  • Lead technical onboarding and architecture reviews; provide best-practice guidance on system configuration, query optimization, and integration patterns.
  • Proactively identify adoption barriers, troubleshoot complex distributed-system issues, and coordinate with product and engineering teams to drive timely resolutions.
  • Own customer success metrics: deployment time, usage growth, retention, and satisfaction. Build dashboards and track health across accounts.
  • Develop and deliver technical enablement: create sample code, automation tools, and documentation to accelerate customer outcomes.
  • Serve as the customer's technical advocate internally — communicating feature requests, influencing roadmap priorities, and improving developer experience.
  • Collaborate cross-functionally with sales engineering (for technical evaluations, proofs-of-concept, and demos) and support engineering (for escalations and issue triage).
  • Contribute to internal tooling, runbooks, and playbooks that will form the foundation of LanceDB's future customer success organization.
  • Help to shape processes, tooling, and team culture as we scale customer success and post-sales engineering.

Qualifications

  • 10+ years of professional experience in technical roles such as post-sales engineering, customer success, solutions architecture, or technical support, ideally within the data infrastructure or distributed systems space.
  • Proven track record supporting or deploying distributed database systems or large-scale cloud-native data platforms (e.g., high-availability, multi-region, and horizontally scalable environments).
  • Strong proficiency in Rust and Python — able to read, debug, and write production-grade code in both languages.
  • Deep understanding of distributed systems concepts: sharding, replication, consensus, partitioning, failure recovery, and performance tuning.
  • Experience deploying and managing workloads on Kubernetes or other container orchestration frameworks, and familiarity with cloud environments (AWS, GCP, Azure).
  • Exceptional communication and presentation skills: able to engage directly with customers' engineering leaders, architects, and executives with credibility and empathy.
  • Strong problem-solving ability, coupled with a customer-first mindset and the ability to operate autonomously in fast-moving, ambiguous environments.
  • Willingness and ability to flex across functions — including pre-sales engineering, technical support, and post-sales enablement — as needed by the business.

Skills

Required:10+ years of relevant experienceRustPythonDistributed systemsKubernetes / cloudCommunicationAutonomy in fast-moving environments

Benefits

  • Medical, dental, vision, and life insurance
  • 401(k) retirement plan
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
  • Commuter benefits
  • Generous paid time off
  • Paid parental leave program for birthing, non-birthing, adoptive, and foster parents
Last updated Sep 16, 2026. Interested? Apply on the company site.
LanceDB logo

About LanceDB

Designed for Multimodal. Built for Scale.

LanceDB is the first open-source AI-Native Multimodal Lakehouse.

Vector DatabaseMultimodal dataAI workloadsData infrastructureHybrid searchModel trainingStorageSearch
Company profileWebsite

More open roles at LanceDB