OfficeNew York
Analytics Engineer
О роли
Описание вакансии
About the company
- Modal is building a new infrastructure layer for AI
- Customers include Ramp, Cognition, DoorDash, and Suno
- Passed $1B in annualized run rate; raised a $750M Series D led by Accel at a $15.75B valuation
- Team includes creators of popular open-source projects (Seaborn, Luigi), academic researchers, olympiad medalists
Responsibilities
- Contribute to building the most modern analytics stack to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting
- Influence work on new products like LLM Inference Endpoints through product analytics tracking
- Identify cost savings and optimization across tools and financial operations
- Write data pipelines that power business operations, such as cloud compute economics or sales comp
- Create foundational datasets for people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns
Requirements
- Fluent in SQL and proficient in Python
- Professional experience with at least 2 of: Snowflake, dbt, dlt, Modal, Hex, PostHog
- Extend work beyond data reporting into action and impact
- High attention to detail
- Excellent and precise communicator
- Personable and great at building relationships
Nice to have
- Experience with AI products, especially LLM inference and sandboxes
- Experience in fin ops, fraud, sales ops, or risk, especially in the context of AI (e.g. token cost optimization)
- Project management skills
- Strong presence in the data community
Стек и навыки
С чем работаем