Senior Solutions Engineer

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.

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.