LanceDB

LanceDB

Senior Solutions Engineer

Americas timezones · Senior

Sponsorship not specifiedDetected 11 days ago
PythonDistributed SystemsAWSGCPAzureDockerTerraformCI/CDPrometheusGrafanaKafkaMachine LearningTensorFlowPyTorchPandasSparkData ScienceLLMsRAGLLMOpsSalesCommunicationPublic 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.

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.