Senior Forward Deployed Agentic Engineer
Gumloop, San Francisco Office +1
- Pay
- $175K – $265K • Multiple Ranges
- Work type
- Onsite
- Level
- Senior
- Area
- Software engineering
- Posted
- Sep 25, 2026
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About the role
About Us
Gumloop is the multiplayer AI agent builder. We believe the people who know the work best should be able to automate it, and use what they build to help their whole team do more.
Anyone at a company can build, share, and optimize agents with any AI model and any integration. Teams can orchestrate those agents across their business, while IT keeps full control over data, access, and spend.
We're a small team building as fast as humanly possible. Gusto, Ramp, Shopify, Samsara, Instacart, and Opendoor are running agents on Gumloop across their company. We've raised over $70M https://www.gumloop.com/blog/series-b from Benchmark, First Round Capital, Y Combinator, Nexus Ventures to scale and are looking for people who care as much as we do to join the team.
Here’s what life at Gumloop is like:
- Our beliefs – The Handbook https://www.gumloop.com/handbook
- Our adventures – Wall of Photos https://www.gumloop.com/photos
- What our users are saying - Wall of Love https://www.gumloop.com/love
- What we’re working on – Changelog https://www.gumloop.com/changelog
Role Overview
As one of Gumloop’s first Forward Deployed Engineers, you’ll be embedded with enterprise customers from day one to understand their business, identify how AI can solve their biggest problems, and build the agents to do it.
After a contract is signed, you’ll own technical delivery from discovery to deployment, combining hands-on building with practical AI strategy. The work is execution-first. You scope high-value AI opportunities with operators and executives, connect the systems those agents depend on, and measure success by adoption and business impact.
As an early member of the team, you’ll also help define how Gumloop partners with enterprise customers to change the way they work.
What you’ll do
- Work directly with customer teams and executives to identify and scope high-value AI opportunities.
- Map the process, connect the systems, and structure the data so agents run reliably in the customer's environment.
- Build, test, deploy, and iterate on Gumloop agents, and judge success by adoption and business impact.
- Partner with Customer Success and Education to help customers take ownership, enable broad usage, and keep building without us.
- Turn what you learn in deployments into reusable patterns and concrete feedback for Product and Engineering.
- Travel to customer sites as needed, up to about 30%, and operate through ambiguity without waiting for a perfect spec.
What you bring
- 4+ years of technical experience, with a track record of shipping useful agents or connected systems past a prototype.
- A technical foundation, ideally in Computer Science, Mathematics, Software Engineering, Data Science, or equivalent hands-on experience.
- Experience deploying or implementing software in enterprise environments, including process mapping and working with customer data.
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Listed on Gumloop's Ashby job board; checked 2 h ago. First seen by us 33 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.