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Senior Solutions Engineer

lancedbSan Francisco Bay AreaField Engineering
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Salary
$180K – $250K
Job type
Full-time
Experience
Senior · 5+ yrs
Posted
22 Sept 2026
Status
Open · checked 7d ago

About this role

LanceDB is hiring a Senior Solutions Engineer in the San Francisco Bay Area to act as a technical advisor for prospective customers and strategic accounts. This full-time position suits an experienced technical professional who enjoys combining customer engagement with AI and machine learning infrastructure expertise.

Role Overview

LanceDB seeks a Senior Solutions Engineer to bridge the gap between complex AI engineering and practical business use cases. The person in this role will guide prospective buyers, design partners, and strategic accounts through technical evaluations and architecture design.

Key Responsibilities

Lead technical pre-sales discussions alongside account executives to scope workflows and explain platform value.
Conduct architecture design and technical discovery sessions for prospects in AI infrastructure, LLM operations, and multimodal data pipelines.
Create and present customized proof-of-concepts and demonstrations addressing vector search, retrieval-augmented generation, and feature engineering challenges.
Relay customer feedback and product requirements back to internal product and engineering teams.
Support early adopters and design partners during onboarding and expansion phases.
Support developer experience by focusing on documentation, SDK usability, and integration pathways.

Requirements

Minimum of 5 years of professional background working as a Solutions Engineer, Sales Engineer, ML Engineer, or within AI Infrastructure supporting machine learning platforms.
Working knowledge of machine learning frameworks such as TensorFlow or PyTorch, including model training, inference, and fine-tuning integrations.
Practical background utilizing distributed systems like Spark, Ray, or Kubernetes.
Understanding of cloud computing platforms and storage systems across AWS, Azure, and GCP.
Ability to communicate effectively with both technical and business audiences.
Residence in the San Francisco Bay Area with willingness to travel to customer locations as required.

Nice to Have

Background in developing or supporting vector search pipelines or feature engineering workflows.
Experience utilizing feature stores or creating custom machine learning feature pipelines.
Knowledge of monitoring and observability tools like Prometheus, Grafana, and the ELK stack.
Familiarity with open-source streaming and data frameworks including Apache Flink, Spark, Kafka, Airflow, or Delta Lake.
Programming capabilities in Python or familiarity with Rust.
Experience delivering technical workshops, creating content, or presenting at industry events.
Background deploying machine learning infrastructure utilizing Docker, Terraform, and CI/CD pipelines.
Prior experience in a customer-facing technical role supporting enterprise accounts.

Skills and Tools

PyTorch
TensorFlow
Ray
Spark
Kubernetes
AWS
GCP
Azure
S3
EC2
GKE
Feast
Tecton
Prometheus
Grafana
ELK
EFK
Flink
Delta Lake
Kafka
Airflow
Python
Rust
Terraform
Docker

Salary and Benefits

Compensation ranges from $180K to $250K.
Equity offerings are included.
Commission incentives are included.

About the Company

LanceDB develops an open-source data lake designed for multimodal artificial intelligence applications. The technology supports vector search, retrieval-augmented generation, streaming training data, and the exploration of large-scale AI datasets.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

PyTorchTensorFlowRaySparkKubernetesAWSGCPAzureEC2GKES3FeastTectonPrometheusGrafanaELKEFKFlinkDelta LakeKafkaAirflowPythonRustTerraformDockerLLMRAGFine-tuningDistributed Systems

Questions candidates ask

What is the geographic location requirement for this role?

Candidates must be based out of the San Francisco Bay Area and be willing to travel to customer sites as needed.

How many years of experience are required?

Applicants must have 5+ years of experience in a Solutions Engineer, Sales Engineer, ML Engineer, or AI Infrastructure role.

What is the salary and compensation structure?

The salary ranges from $180K to $250K, and the position includes offers for equity and commission.

What frameworks and infrastructure tools should candidates know?

Candidates need strong knowledge of machine learning frameworks like PyTorch or TensorFlow, and hands-on experience with distributed systems such as Ray, Spark, or Kubernetes.

What types of tasks will the Senior Solutions Engineer perform?

Responsibilities include leading pre-sales technical conversations, conducting architecture design sessions, building custom demos and proof-of-concepts, and relaying real-world customer feedback to engineering teams.

Ready to apply?

The application is on the official lancedb careers page.

Apply on company site