Growth Engineer

Posted 27 Days Ago
San Francisco, CA, USA
In-Office
150K-300K Annually
Mid level
Information Technology • Software
The Role
You will be responsible for designing dimensional models, establishing dbt standards, and ensuring data quality in the data stack at Comfy.
Summary Generated by Built In

The Role

You'll be our first dedicated growth engineer, building the data foundation that every team at Comfy will rely on. We stood up the basics of a data stack recently now we need someone to take ownership of it and turn it into something the whole company trusts.

This means designing dimensional models, establishing dbt standards, building pipeline observability, and making data self-serve for product, BizOps, growth, and engineering. You'll work across Comfy Cloud usage, open-source telemetry, Registry activity, GPU scheduling, and billing data. Our stack includes Snowflake and dbt, but we care way more about your ability to learn and ship than whether you've used these exact tools before.

You might be a good fit if

  • You've owned a data warehouse end-to-end and built the modeling standards that kept it trustworthy as things scaled

  • You care about data quality enough to write the tests before anyone asks you to

  • You're comfortable working directly with non-technical stakeholders to define metrics, resolve ambiguity, and build models people can actually self-serve against

  • You instinctively reach for automation to eliminate toil, not because it's trendy, but because life is short

  • You've shipped dimensional models that survived contact with stakeholders who kept changing their minds

What you'll do

  • Own the warehouse end-to-end. Design dimensional models, establish dbt conventions, and build datasets that serve analytics, product, and finance — starting with unifying Comfy Cloud events, open-source install metrics, and Registry activity into a clean model with dbt tests that prove it's correct.

  • Build observability into the stack. Alerting, lineage, freshness monitoring from ingestion to consumption — so you know when an upstream schema change breaks something before the Monday metrics review, not after.

  • Catch data quality problems at the source. Write the controls and tests that surface issues before they show up in a dashboard and someone has to ask why the numbers look wrong.

  • Make data self-serve for every team. Work directly with BizOps, product, and engineering to understand what they're trying to answer, then build the models that let them answer it themselves — including the free-to-paid conversion funnel, a single agreed-upon definition of "active user," and an end-to-end billing model that reconciles usage events with invoices and flags discrepancies automatically.

Nice to have

  • Python for data engineering (not notebooks, actual pipeline code)

  • Snowflake, BigQuery, or similar cloud warehouse

  • Airflow, Dagster, or similar orchestration

  • Experience with product analytics or BI tools

  • Familiarity with ComfyUI or node-based workflow tools

About Comfy

Comfy (https://www.comfy.org) is the AI creation engine for visual professionals who demand control over every model, every parameter, and every output. The most powerful workflow engine for visual AI.

Unlike tools that hide everything behind a prompt box, Comfy lets you connect models, processing steps, and outputs on a canvas where every decision is visible and every step is inspectable. It gives you the building blocks to create workflows nobody's imagined yet, and share them with everyone.

What started as an open-source project in 2023 now has 4 million users, 60,000+ community-built nodes, and 150,000+ daily downloads. It's used by artists, filmmakers, game studios, designers, researchers, and VFX houses, including teams at OpenAI, Netflix, Amazon Studios, Ubisoft, EA, and Tencent.

We're a small, intense team in San Francisco. Our team comes from Stability AI and Google, and many contributed to the ComfyUI ecosystem long before working here. Low ego, high ownership. We work hard and demand a lot of each other, but we have fun. Everyone here is building something meaningful that will end up being our life's work.

If this mission excites you and you view yourself as top-tier talent, your future latent self is waiting for you at Comfy.

Check out our Github (https://github.com/comfyanonymous/ComfyUI) and blog (https://blog.comfy.org). We recently raised $30M at a $500M valuation. The round was led by Craft, with participation from Pace Capital, Chemistry, TruArrow, and others.

Skills Required

  • Experience owning a data warehouse end-to-end
  • Ability to write data quality tests
  • Comfortable working with non-technical stakeholders
  • Experience with Python for data engineering
  • Familiarity with Snowflake, BigQuery, or similar
  • Experience with orchestration tools like Airflow or Dagster
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
40 Employees
Year Founded: 2024

What We Do

Building ComfyUI

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