The multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering so teams can build better models faster. Backed by Y Combinator and CRV.
About the role
As the Senior Customer Success Engineer, you will be a trusted advisor to our most strategic customers. You'll combine deep technical expertise with outstanding communication and relationship-building skills to ensure customers achieve success in deploying and scaling LanceDB across production workloads.
What they're looking for
- 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
More about this role
AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where a researcher curates petabytes of video, audio, and every signal derived from them with a few lines of Python, and the next training run starts as fast as the next idea. Customers like Runway, Midjourney, and Netflix build the future of AI on LanceDB, from frontier and world models to robots and autonomous vehicles.
As the Senior Customer Success Engineer, you will be a trusted advisor to our most strategic customers. You'll combine deep technical expertise with outstanding communication and relationship-building skills to ensure customers achieve success in deploying and scaling LanceDB across production 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. 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.
Partner closely with customers to design, deploy, and optimize LanceDB in...
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