LanceDB
Senior Customer Success Engineer
Americas timezones · Senior
Sponsorship not specifiedDetected 11 days ago
PythonRustDistributed SystemsAWSGCPAzureCloud PlatformsKubernetesPrometheusGrafanaMachine LearningAI OrchestrationSalesCustomer SuccessCustomer SupportCommunicationProblem Solving
About the role
- As the Senior Customer Success Engineer, you will be a trusted advisor to our most strategic customers.
- You'll serve as the connective tissue between our customers, product, and engineering teams, driving continuous improvement in both the customer experience and the product itself.
- Serve as the customer's technical advocate internally - communicating feature requests, influencing roadmap priorities, and improving developer experience.
Responsibilities
- 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.
- Collaborate cross-functionally with sales engineering (for technical evaluations, proofs-of-concept, and demos) and support engineering (for escalations and issue triage).
- You'll collaborate on systems that power next-generation AI workloads while shaping how LanceDB operates and scales production environments.
- Own customer success metrics: deployment time, usage growth, retention, and satisfaction.
Requirements
- 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.
- Experience deploying and managing workloads on Kubernetes or other container orchestration frameworks, and familiarity with cloud environments (AWS, GCP, Azure).
- Strong problem-solving ability, coupled with a customer-first mindset and the ability to operate autonomously in fast-moving, ambiguous environments.
Skills
- Previous experience as a founding or early member of a customer success or solutions engineering function at a high-growth startup.
- Hands-on experience with vector search, feature stores, or AI-native data systems.
- Contributions to open-source projects (especially in Rust or Python) or experience authoring developer-facing technical content.
- Familiarity with modern observability stacks (Prometheus, Grafana, OpenTelemetry) and incident management best practices.
- Experience designing or leading enterprise architecture workshops or technical proof-of-concepts.
- LanceDB is a high-performance, open-source, cloud-native data platform built for AI-native and multimodal workflows.
Benefits
- Build dashboards and track health across accounts.
Company info
- Partner closely with customers to design, deploy, and optimize LanceDB in production environments, ensuring reliability, scalability, and performance for distributed, cloud-native workloads.
- You'll guide customers from onboarding through adoption and expansion - while flexing seamlessly into pre-sales or technical support capacities as business needs require.
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This listing is sourced directly from LanceDB's careers page and normalized into a canonical job model.