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Stelle · Senior

Senior Solutions Engineer

IT Consultant • Senior • Remote • Vollzeit Europäische Union Americas timezones, EU/EMEA

LanceDB is looking for a Senior Solutions Engineer who combines deep AI/ML infrastructure knowledge with strong communication skills, serving as a trusted advisor to prospective customers and strategic accounts.

Responsibilities

  • Serve as the technical lead in pre-sales conversations, partnering with account executives
  • Lead technical discovery and architecture design sessions with prospects across AI infra, LLM ops and multimodal data pipelines
  • Build and deliver custom demos and proof-of-concepts highlighting how LanceDB solves RAG, vector search and feature engineering problems
  • Act as the bridge between customer pain points and engineering/product teams, informing roadmap priorities
  • 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

  • 5+ years of experience in a Sales Engineer, Solutions Engineer, ML Engineer or AI Infrastructure role
  • Strong knowledge of AI/ML frameworks like PyTorch or TensorFlow and how they integrate with model training, fine-tuning and inference infrastructure
  • Hands-on experience working with distributed systems such as Ray, Spark or Kubernetes
  • Familiarity with cloud services (AWS, GCP, Azure) including compute and storage such as EC2, GKE, S3
  • Confident communicating with both technical and non-technical stakeholders
  • Based in the San Francisco Bay Area, willing to travel to customer sites as needed

Nice to have

  • Experience building or supporting feature engineering workflows or vector search pipelines
  • Experience with feature stores such as Feast, Tecton, or designing custom ML feature pipelines
  • Experience in observability and monitoring (Prometheus, Grafana, ELK/EFK)
  • Familiarity with open-source data/streaming frameworks such as Apache Spark, Flink, Delta Lake, Kafka or Airflow
  • Deep Python skills, or curiosity about Rust
  • Comfortable creating technical content, workshops or presenting at meetups/conferences
  • Experience deploying ML infrastructure in customer environments using tools like Terraform, Docker and CI/CD pipelines

Soft skills

Excellent communication and solution-building skillsConfident bridging technical and non-technical stakeholders

About the company

LanceDB is a developer-friendly, open-source data lake for multimodal AI, offering hyper-scalable vector search, advanced retrieval for RAG, and streaming and exploration of large-scale AI datasets.

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