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Build self-serve analytics tools, key metrics tracking, and data pipelines for Modal's Data team, including cloud compute economics and sales comp. Also create foundational datasets for product, financial, and marketing questions. Requires fluent SQL and Python, plus experience with at least 2 of Snowflake, dbt, dlt, Modal, Hex, or PostHog.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction.
The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via:
Compensation: $150K - $250K
