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Developer-friendly, open source database for multi-modal AI
Senior Customer Success Engineer
Location
United States
Posted
86 days ago
Salary
$180K - $250K / year
Seniority
Senior
Job Description
Senior Customer Success Engineer
LanceDB
• 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 in Rust and Python. • 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. • As the first senior hire in this function, shape processes, tooling, and team culture as we scale customer success and post-sales engineering.
Job Requirements
- 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.
Benefits
- Offers Equity
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