Senior Solutions Engineer

🕒 July 10

🏄 California – Remote

🏄 California – Remote

💵 $180k - $250k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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LanceDB

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.

📋 Description

• 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. • You must be based out of the San Francisco Bay Area, and be willing to travel to customer sites as needed. This position is only available to candidates that fulfill this criteria.

🏖️ Benefits

• 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