# Analytics Engineer

[Modal](https://www.jorb.ai/firms/modal.md) · New York · United States · [Data Engineering](https://www.jorb.ai/jobs/data-engineering.md)

Modal is hiring a Analytics Engineer in New York. Posted 2026-09-23; applications close 2026-11-22.

**Apply**: https://jobs.ashbyhq.com/modal/a518f2cd-e0c7-4105-9004-d7971f7b1daf

Posted 3d ago.

## Role details

## About Modal

AI needs a new infrastructure layer. We're building it at Modal.

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; it touches everything instead of just one slice, and the window to build the layer underneath it is open right now.

Our customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, making it simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.

We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.

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.

## About Modal Data

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.

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:

    
- Self-serve AI analytics tools (Hex, Snowflake)
    
- Embedding with teams as a “data adviser,” providing strategic analysis and consulting

## What You'll Do

    
- Contribute to building the most modern analytics stack in Data today 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 millions of dollars of cost savings and optimization across our tools and financial operations.
    
- Write data pipelines that power the operations of our business, such as our cloud compute economics or sales comp.
    
- Create foundational datasets that can be used by people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns.

## What You Should Have

    
- SQL fluency and Python proficiency.
    
- Professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, Posthog.
    
- Ability to extend work beyond just data reporting and into action and impact.
    
- High attention to detail.
    
- Excellent and precise communicator.
    
- Strong personability and relationship building skills.

## 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 online and offline.

## Applying to this role

This Analytics Engineer role at Modal runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

[Tailor this application](https://www.jorb.ai/signup?ref=job-atom&firm=modal&job=6ab43054f3210b410d44e753)

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Updated: 2026-09-26
Canonical: https://www.jorb.ai/jobs/6ab43054f3210b410d44e753
