Senior Solutions Engineer
Company: LanceDB
Location: San Francisco
Posted on: April 1, 2026
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Job Description:
About LanceDB LanceDB is a developer-friendly, open-source data
lake for multimodal AI. From hyper-scalable vector search to
advanced retrieval for RAG, from streaming training data to
interactive exploration of large-scale AI datasets, LanceDB is the
best foundation for your AI application, and powers some of the
most groundbreaking applications and challenging requirements
today. About the Role 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. Your Responsibilities Will Include 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. Bonus Points If You 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. About the LanceDB Team
LanceDB was created by experts with decades of experience building
tools for data science and machine learning. From co-authors of
pandas to Apache PMC of HDFS, Arrow, Iceberg and HBase, the LanceDB
team has created open-source tools used by millions worldwide.
Keywords: LanceDB, Lodi , Senior Solutions Engineer, IT / Software / Systems , San Francisco, California
