layiq
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new york, United States; San Francisco, California, USA
Source: Modal careers · View original posting
From Modal's posting. “We” and “our” refer to the employer.
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
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.
GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal.
Like the infrastructure beneath the Magic Kingdom
, much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal.
We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform to building agents for account research.
We're looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you'll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation.
SQL fluency and Python proficiency.
You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same.
Experience building data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex.
Hands-on experience with CRM architecture, integrations, and revenue or marketing operations.
An understanding of how leads, accounts, opportunities, and revenue move through a business; experience with usage-based businesses is a plus.
High attention to detail and a habit of testing, documenting, and monitoring the systems you build.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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