About the job
About Gumloop
Gumloop builds an AI automation platform focused on improving enterprise efficiency. Teams use Gumloop to create and launch AI agents inside Slack, Microsoft Teams, or as standalone apps, automating real business tasks through a wide range of integrations, no engineering background required.
The platform is organized around three core areas:
- Agents: Conversational AI assistants that use integrations, workflows, and code sandboxes to handle open-ended tasks. Unlike rigid workflows, agents choose the right tools for each situation. Users set up agents by selecting a system prompt, model, and tools, then deploy them in chat UIs or messaging platforms. Agents can run on schedules or in response to events.
- Workflows: Visual drag-and-drop automation lets users connect nodes representing operations like API calls, AI processes, spreadsheet reads, or email sends. Workflows are predictable and repeatable, triggered manually, on a schedule, by webhooks, or by external events such as incoming emails or Slack messages. Agents can also call workflows as tools.
- Gumstack: The managed computing platform (MCP) provides hosting, observability, and governance for AI apps. Organizations can provision managed servers, set which AI models are available, audit every tool call, and enforce security policies across agents and workflows.
Gumloop is scaling quickly. Teams at Gusto, Ramp, Shopify, Samsara, Instacart, and Opendoor already use the platform to automate important processes. The product is live and in daily use.
With $70 million raised from investors including Benchmark, First Round Capital, Y Combinator, Nexus Ventures, Shopify Ventures, BoxGroup, and The Cannon Project, Gumloop is building a strong team for the next phase of growth.
Role Overview
Gumloop is hiring a Software Engineer for its San Francisco office. This is a hands-on role with daily collaboration alongside the founders. Engineers here take features from idea to deployment, often shipping improvements based on user feedback within hours. The position is foundational to the company’s engineering team as it grows rapidly in the AI space.
What You'll Do
- Design, build, test, deploy, and maintain end-to-end features in production.
- Respond to user feedback quickly, delivering improvements with same-day releases when possible.
- Work closely with the founders to clarify priorities and remove blockers.
- Develop polished user interfaces and reliable backend services that scale.

