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Forward Deployed Agentic Engineer

Gumloop


Job Location:

San Francisco, CA - USA

Yearly Salary: USD 175000 - 265000
Posted: 29 September 2026 (Yesterday)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

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.

Were a small team building as fast as humanly possible. Gusto Ramp Shopify Samsara Instacart and Opendoor are running agents on Gumloop across their company. Weve raised over $70M 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.

Heres what life at Gumloop is like:

Role Overview


As one of Gumloops first Forward Deployed Engineers youll 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 youll 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 youll also help define how Gumloop partners with enterprise customers to change the way they work.

What youll 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 customers 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.

  • Comfort with JSON JavaScript Git MCPs and data-structure conversations enough to build and debug in the field.

  • Clear communication with technical and non-technical audiences from frontline users to executives.

  • Judgment under ambiguity: you pick the problem that matters and get hands-on rather than waiting to be scoped.

  • Willingness to travel up to 30% for work onsite with customers flexible to fit your life.


Bonus

  • Experience in consulting professional services or implementation at a high-growth company.

  • Prior FDE solutions engineering or deployment-engineering work

  • Familiarity with agent tooling MCP servers and production LLM workflows.

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%


Required Experience:

Unclear Seniority


About Company

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The no-code platform to build and host AI-powered business automations.

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