Analytics Engineer
Modal Labs · New York · Stockholm · San Francisco
CHECKED 17H AGO
Infrastructureonsite$150k–$250k
At a glance
Highlights
- Build self-serve AI analytics to track goals and drive evidence-backed decisions.
- Influence new LLM inference products through product analytics tracking.
- Uncover millions in cost savings powering cloud compute economics.
Ideal candidate
A detail-oriented, personable communicator who turns analysis into action and loves partnering with teams to drive business strategy with data.
Requirements
- SQL fluency and Python proficiency
- Professional experience with at least 2 of: Snowflake, dbt, dlt, Modal, Hex, Posthog
- Ability to drive action and impact beyond data reporting
- High attention to detail
- Excellent and precise communication skills
- Strong personability and relationship-building skills
Lab profile
About Modal Labs
Serverless cloud infrastructure for AI workloads with instant GPU compute.
What they build
- Serverless GPU cloud platform
- Python SDK
- Cloud sandboxes
Known for
- Systems engineering at scale
- ML performance optimization
- Developer-first experience