Senior Solutions Engineer at LanceDB in United States | Canada

Job description

• Application
• About LanceDB
• We are looking for a Senior Solutions Engineer who blends deep technical understanding of AI/ML infrastructure with excellent communication and solution-building skills. 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.
• 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.

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.
• Have experience building or supporting feature engineering workflows or vector search pipelines.
• Have worked with feature stores (e.g., Feast, Tecton) or have designed custom ML feature pipelines.
• Have experience in observability and monitoring (Prometheus, Grafana, ELK/EFK).
• Are familiar with open-source data/streaming frameworks such as Apache Spark, Flink, Delta Lake, Kafka, or Airflow.
• Have deep Python skills or are curious about Rust.
• Are comfortable creating technical content, workshops, or presenting at meetups/conferences.
• Have experience deploying ML infrastructure in customer environments using tools like Terraform, Docker, and CI/CD pipelines.
• Have supported enterprise customers or worked in a customer-facing technical capacity before.

Skills

Required

• Excellent communication
• Solution-building skills
• Enjoys working with high-caliber teams
• PyTorch
• TensorFlow
• Ray
• Spark
• Kubernetes
• AWS
• GCP
• Azure
• EC2

Benefits

• LanceDB is committed to equitable and competitive compensation. Actual compensation is determined based on factors such as skills, experience, location, and the interview process.
• In addition to base salary, new hires receive compelling equity grants and access to a comprehensive benefits package including:
• Medical, dental, vision, and life insurance
• 401(k) retirement plan
• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
• Commuter benefits
• Generous paid time off
• Paid parental leave program for birthing, non-birthing, adoptive,
• and foster parents
• $180K – $250K • Offers Equity • Offers Commission
• Compensation & Benefits