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Gumloop

QA Engineer

Sorry, this job was removed at 03:15 p.m. (PST) on Tuesday, Apr 07, 2026
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA

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QA Engineer

About Gumloop

Gumloop is an AI operating system for enterprises. We enable business teams to build and deploy AI agents in Slack or Microsoft Teams that automate work across hundreds of in-house integrations.

Our workflow product allows teams to build automations on a visual canvas using modular nodes — no engineering bottlenecks required. Our observability, security, and MCP hosting product (Gumstack) gives InfoSec teams the confidence to deploy Gumloop, with its full capabilities and integrations, across their organization.

We’ve raised $70M from Benchmark, First Round Capital, Y Combinator, Nexus Ventures, Shopify Ventures, Box Group and The Cannon Project.

Our goal: give the people who do the work the power to automate it.

The Role

You will own Gumloop’s testing strategy end-to-end.

Today we have ~25% test coverage, a basic testing system, and minimal browser automation. You will define what “quality” means at Gumloop and build the systems to enforce it.

You will:

  • Design and implement our testing strategy (unit, integration, E2E, CI)

  • Build a scalable testing framework with clear standards and guardrails

  • Develop systems for testing AI-driven workflows and agents

  • Reduce flakiness, increase coverage, and improve deployment confidence

  • Automate aggressively; use manual QA deliberately and sparingly

  • Partner with product and engineering to prevent bugs before they ship

This is a foundational role with significant ownership.

You’ll Be Successful If You
  • Have built automated test systems for real-world products

  • Think in systems, not individual test cases

  • Care deeply about engineering quality and developer velocity

  • Have experience testing full-stack applications

  • Understand CI/CD and how to enforce quality without slowing teams down

  • Have designed tests for nondeterministic systems (LLMs, AI agents, etc.)

  • Thrive in small, fast-moving teams

If you’ve built products people actually use, years of experience matter less.

What We Offer
  • Competitive Bay Area salary + meaningful equity

  • Full health, dental, and vision

  • 401(k) with match

  • Paid relocation

  • A foundational role shaping the quality bar of an AI-native product

Process
  • Introductory chat

  • Technical interview

  • Paid 2-day work trial where we build together

How to Apply

We receive hundreds of low-effort applications.

If you care about this role, send a short note (bullets are fine) explaining why you’d be a great fit to [email protected] with subject line:

“QA Engineer – Your Name”

We reply fast.

HQ

Gumloop San Francisco, California, USA Office

San Francisco, California, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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