Gumloop is the AI automation platform for the enterprise. We give teams the power to easily build and deploy AI agents, in Slack, Microsoft Teams, or standalone, that automate real work across hundreds of integrations with no engineering background required. The platform has three pillars:
1. Agents — Conversational AI assistants that use tools (integrations, workflows, code sandbox, MCP servers) to accomplish open-ended tasks. Unlike workflows that follow fixed paths, agents decide which tools to use and when, adapting based on context. Users configure agents with a system prompt, a model, and a set of tools. Agents can be deployed to a chat UI, Slack, or Microsoft Teams, and can run autonomously via scheduled or event-based triggers.
2. Workflows — Visual, drag-and-drop automations composed of connected nodes on a canvas. Each node is a discrete operation (call an API, run AI, read a spreadsheet, send an email). Workflows are deterministic and repeatable. They can be triggered manually, on a schedule, via webhook, or by external events (new email, Slack message, etc.). Workflows can also be attached to agents as callable tools — the agent orchestrates, the workflow executes.
3. Gumstack — Enterprise-grade MCP hosting, observability, and AI governance. Organizations provision managed MCP servers, control which AI models are available, audit every tool call, and enforce security policies across all agents and workflows.
We're moving fast. Teams at Gusto, Ramp, Shopify, Samsara, Instacart, and Opendoor are already building and deploying AI agents on Gumloop to automate real work across their organizations. That's not a demo. That's production.
We've raised $70M from Benchmark, First Round Capital, Y Combinator, Nexus Ventures, Shopify Ventures, BoxGroup, and The Cannon Project to build a world class team.
We're looking for an experienced Full Stack Engineer to ship product at the highest level. You'll own features end-to-end — design, build, test, deploy, and operate them in production. This is a role for engineers who want close proximity to users, fast feedback loops, and the opportunity to directly shape the trajectory of an AI-native platform.
Ship end-to-end features — design, code, test, deploy, and own them in production
Work directly with users to turn feedback into improvements within hours, not days
Build and operate frontend and backend systems that stay fast and reliable as traffic grows
Review PRs, share context, and mentor junior engineers to raise the bar across the team
5–10 years of professional experience building products as a full stack developer
Relentlessly resourceful — you've built real-world applications with a high bar for quality
If you've personally built something people use, years of experience is basically irrelevant
Comfort working in a small team where ownership and speed are the norm
Prior experience as a founder or founding engineer
Strong sense of product taste
Experience building LLM-powered products
Proficiency in Python, TypeScript, React, TailwindCSS, Redux
Highly competitive salary and meaningful equity
Generous paid time off: 24 days for SF employees and 20 days globally, use them as you need
$350/month wellness benefit to spend on gym, spa, equipment, or whatever keeps you at your best
15 days of temporary remote work flexibility per year
401k match up to 6%
Skills Required
- Experience building real-world applications
- Ability to build full stack applications from scratch
- Experience tackling difficult problems
- Ability to work effectively in a small team
What We Do
A platform for building LLM-powered automations.
