LanceDB
Artificial Intelligence • Enterprise • SaaS
LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.
11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Senior Customer Success Engineer
November 5
🇺🇸 United States – Remote
💵 $180k - $250k / year
⏰ Full Time
🟠 Senior
🧑🔧 Technical Customer Success Manager
LanceDB
Artificial Intelligence • Enterprise • SaaS
LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.
11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
📋 Description
• Partner closely with customers to design, deploy, and optimize LanceDB in production environments • Lead technical onboarding and architecture reviews • Proactively identify adoption barriers and troubleshoot complex distributed-system issues • Own customer success metrics • Develop and deliver technical enablement • Serve as the customer’s technical advocate internally • Collaborate cross-functionally with sales engineering and support engineering • Contribute to internal tooling, runbooks, and playbooks • Shape processes, tooling, and team culture as we scale customer success
🎯 Requirements
• 10+ years of professional experience in technical roles such as post-sales engineering, customer success, solutions architecture, or technical support • Proven track record supporting or deploying distributed database systems or large-scale cloud-native data platforms • Strong proficiency in Rust and Python • Deep understanding of distributed systems concepts • Experience deploying and managing workloads on Kubernetes or other container orchestration frameworks • Familiarity with cloud environments (AWS, GCP, Azure) • Exceptional communication and presentation skills • Strong problem-solving ability • Willingness and ability to flex across functions
🏖️ Benefits
• Competitive compensation • Equity • Remote-first culture • Flexible hours • Significant career growth potential
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