Analytics Engineer
Modal Labs, Inc. operates Modal, a serverless cloud and AI infrastructure platform for developers running inference, training, batch processing, and isolated sandboxes.
Maintainer signals as of 9/24/2026
Funding history
About Modal
Modal provides code-first, elastic CPU/GPU compute infrastructure for AI workloads, including model inference, fine-tuning and training, large-scale batch jobs, and secure ephemeral execution environments.
Skills
About the Role
You will help build a modern analytics stack that supports AI-driven self-serve analysis, key-metric tracking, and external customer reporting. You will develop product analytics for new offerings, identify cost-saving opportunities, write operational data pipelines, and create foundational datasets for product, financial, and marketing questions.
Requirements
- Fluency in SQL
- Proficiency in Python
- Professional experience with at least two of Snowflake, dbt, dlt, Modal, Hex, or Posthog
- Ability to translate data reporting into action and impact
- High attention to detail
- Excellent, precise communication skills
- Relationship-building skills
Responsibilities
- Build a modern analytics stack for self-serve analysis, metric tracking, and customer reporting
- Develop product analytics tracking for new products
- Identify cost savings and optimization opportunities across tools and financial operations
- Write data pipelines for business operations, including cloud compute economics and sales compensation
- Create foundational datasets for product use cases, financial reporting, and marketing campaigns