LanceDB
Senior Solutions Engineer
San Francisco Bay Area · Senior
Sponsorship not specifiedDetected 253 days ago
PythonDistributed SystemsAWSGCPAzureDockerTerraformCI/CDPrometheusGrafanaKafkaMachine LearningTensorFlowPyTorchSparkLLMsRAGLLMOpsSalesCommunicationPublic Speaking
About the role
- This role is ideal for someone who thrives at the intersection of technical depth and customer interaction, and who enjoys crafting solutions, demos, and integrations that showcase LanceDB's strengths in production environments.
- Act as the bridge between customer pain points and our engineering/product teams-informing roadmap priorities with real-world feedback.
Responsibilities
- Lead technical discovery and architecture design sessions with prospects across verticals including AI infra, LLM ops, and multimodal data pipelines.
- Build and deliver custom demos and proof-of-concepts to highlight how LanceDB solves challenging RAG, vector search, and feature engineering problems.
- Partner closely with design partners and early adopters to ensure successful onboarding and expansion.
- You'll collaborate on systems that power next-generation AI workloads while shaping how LanceDB operates and scales production environments.
Requirements
- You have 5+ years of experience in a Sales Engineer, Solutions Engineer, ML Engineer, or AI Infrastructure role, supporting AI/ML products or platforms.
- Strong knowledge of AI/ML frameworks like PyTorch or TensorFlow, and how they integrate with infrastructure for model training, fine-tuning, and inference.
- Hands-on experience working with distributed systems such as Ray, Spark, or Kubernetes.
- Familiarity with cloud services (AWS, GCP, Azure) including compute and storage (e.g., EC2, GKE, S3).
- You must be based out of the San Francisco Bay Area, and be willing to travel to customer sites as needed.
- Have experience in observability and monitoring (Prometheus, Grafana, ELK/EFK).
- Have experience deploying ML infrastructure in customer environments using tools like Terraform, Docker, and CI/CD pipelines.
Company info
- In this role, you will serve as a trusted advisor to prospective customers, design partners, and strategic accounts-bridging the gap between cutting-edge AI engineering and real-world business use cases.
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This listing is sourced directly from LanceDB's careers page and normalized into a canonical job model.