Full Stack Engineer - Gumloop

About Us

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.

Role Overview

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.

What You'll Do

• 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

What You Bring

• 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

Bonus

• 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

Benefits

• 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%