Senior Solutions Engineer bridging AI engineering and business use cases for a data lake company in a hybrid setup. Leading technical discovery and solution demonstrations to prospective customers.
Responsibilities
Serve as the technical lead in pre-sales conversations—partnering with account executives to scope, solution, and articulate the value of LanceDB for customer-specific workflows.
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.
Act as the bridge between customer pain points and our engineering/product teams—informing roadmap priorities with real-world feedback.
Partner closely with design partners and early adopters to ensure successful onboarding and expansion.
Champion a superior developer experience with a sharp focus on documentation, SDK ergonomics, and integration workflows.
Requirements
You thrive in a fast-paced, startup environment and enjoy working with high-caliber teams.
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).
Confident communicating with both technical and non-technical stakeholders, and able to translate complex infrastructure into actionable solutions.
Benefits
Medical, dental, vision, and life insurance
401(k) retirement plan
Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
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