Senior Solutions Engineer

🕒 Julho 10

🏄 California – Remoto

🏄 California – Remote

💵 $180.000 - $250.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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LanceDB

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2022

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

LanceDB é o primeiro Lakehouse Multimodal Nativo de IA de código aberto, projetado para lidar com necessidades complexas de dados de IA em grande escala. Ele oferece uma solução unificada para dados multimodais, integrando armazenamento, busca, engenharia de características e análise em uma única plataforma. Isso permite que os usuários gerenciem eficientemente tipos de dados e fluxos de trabalho diversos, facilitando a rápida iteração e a implementação de modelos de IA. Com capacidades avançadas, como busca híbrida e pipelines de treinamento otimizados, a LanceDB é ideal para empresas que desejam utilizar seus dados de maneira eficaz em aplicações de IA.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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