---
title: Analytics Engineer at Modal in New York, NY
description: Modal is hiring for the Analytics Engineer role in New York, NY. Pays $150K–$250K
  per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/analytics-engineer-at-modal-01a0cfd1-0821-7d86-88fa-26112d7912e1
date: 2026-09-28T02:31:32Z
og_description: Join Modal as Analytics Engineer in New York, NY. Pays $150K–$250K per year. Full-time,
  on-site role.
og_image: https://www.foundrole.com/og/5w86ia.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | Modal |
| **Location** | New York, United States |
| **Salary** | $150K/yr - $250K/yr |
| **Type** | Full Time |
| **Posted** | Sep 23, 2026 |
## Description

## About Us:

**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, 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 [Lovable](https://modal.com/blog/lovable-case-study), [Ramp](https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal), 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 recently raised a $355M [Series C](https://modal.com/blog/modal-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](https://github.com/mwaskom/seaborn),[Luig**i**](https://github.com/spotify/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 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:

- 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](https://modal.com/blog/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](https://modal.com/blog/qwen3-8-2-4t-a95b-now-available-on-modal) 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, Python proficiency

- Professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, Posthog

- Ability to extend their 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
## Skills

- Project Management
- Cloud Computing
- Blogs
- Influencing
- Analytics
- Data Reporting
- Financial Operations
- Python
- Distributed Ledger Technology
- Relationship Building
- HTTP/HTTPS
- Artificial Intelligence
- LLM Inference
- Hex
- Product Analytics
- SQL
- Snowflake
- Large Language Models (Llm)
- Attention to Detail
- Cost Reduction
- PostHog
- Dbt (Data Build Tool)
- Data Pipeline
- Sales
- Campaign Management

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/analytics-engineer-at-modal-01a0cfd1-0821-7d86-88fa-26112d7912e1?utm_source=ai_markdown)

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- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown)