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 a Senior Infrastructure Engineer to own and scale the systems that power Gumloop. You'll architect and roll out large-scale infrastructure projects independently, define our technical roadmap, and work directly with founders daily to push reliability and performance. This is a high-ownership role for someone who wants to solve hard infrastructure problems at a company at the edge of AI.
Architect, implement, and roll out large-scale infrastructure projects independently
Help define the technical roadmap and speak directly with customers to inform priorities
Work directly with founders daily to improve reliability and scale our infrastructure
Design and maintain Kubernetes clusters, CI/CD pipelines, and cloud infrastructure on GCP
Ensure high availability, security, and performance of our systems
Hands-on experience with Kubernetes, Docker, Redis, GCP, Terraform, Prometheus, and CI/CD
Track record of owning infrastructure at scale in a fast-moving environment
Comfort working in a small team where ownership and speed are expected
Strong communication skills — you can talk to customers and collaborate directly with founders
Experience at a high-growth startup scaling infrastructure rapidly
Exposure to AI/ML infrastructure and model serving
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%
What We Do
A platform for building LLM-powered automations.
