---
title: 'Senior Forward Deployed Agentic Engineer at Gumloop'
canonical: 'https://feeny.ai/job/senior-forward-deployed-agentic-engineer-gumloop-san-francisco-2d7vg57j33m8'
type: 'job'
last_seen: '2026-10-14'
---

# Senior Forward Deployed Agentic Engineer at Gumloop

- **Company:** Gumloop
- **Location:** San Francisco, CA
- **Compensation:** $175k–$265k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/gumloop/f5b326dc-99b0-4a4f-bad4-b3ba54b32d2e

## Job description

## 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.
- 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/RRSP match up to 6%

## About Gumloop

## Company Overview
- **One-liner**: Gumloop is a no‑code AI automation platform that enables non‑technical teams to build and deploy AI agents for work workflows.
- **Entity Type**: Private (Series B, raised $50M led by Benchmark)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2023
- **Founders**: Max Brodeur‑Urbas (co‑founder; additional co‑founders not publicly named)

## Core Business
- **Primary industry**: AI‑powered workflow automation / No‑code AI agent platform
- **Target customers**: Mid‑market and enterprise teams (Marketing, Sales, Ops, Support, Engineering) — primarily B2B
- **Mission**: “To make everyone an AI engineer” — help users get promoted, help their companies go AI‑native, and help everyone focus on work that matters.

## Products & Services
- **Gumloop Platform** (SaaS): A drag‑and‑drop canvas for building multi‑step AI agent workflows. Users connect modular components to automate repetitive tasks without writing code. Includes pre‑built agents:
  - **Data Analysis Agent** – answers questions from data warehouses.
  - **Support Agent** – triages bugs, creates tickets, spots support patterns.
  - **Call Analysis Agent** – surfaces objection patterns, coaching insights, competitive intelligence from call recordings.
  - **CRM Agent** – manages deals, researches prospects, keeps CRM updated.
  - **Meeting Prep Agent** – auto‑generates briefs before meetings.
- **Gumstack** (Logging & Analytics Layer): A single source of truth for all AI activity across the organisation; traces every tool call and MCP interaction.
- **Enterprise Features**: SSO/SCIM, role‑based access control, audit logging, AI model restrictions, usage monitoring, VPC deployment, bring‑your‑own‑API‑key proxy.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Key Metric**: **Total Funding** – $70.2M across four rounds (Seed $3.1M, Series A $17M, Series B $50M) as of March 2026.
- **Notable Investors/Partners**: Benchmark (Series B lead), Nexus Venture Partners (Series A lead), First Round (Seed lead), Y Combinator (Winter 2024 batch).
- **Growth Signals**:
  - Headcount grew 130.8% year‑over‑year (40 employees, +7.1% monthly).
  - Trusted by enterprise clients including Shopify, DoorDash, Instacart, and Webflow.
  - SOC 2 Type II certified and GDPR compliant.
  - Multiple pre‑built agent templates and enterprise features added in the last year.

## Competitive Advantages
- **No‑code accessibility**: Non‑technical teams can build complex AI agents as fast as they can type, eliminating engineering bottlenecks.
- **Zero Data Retention**: Gumloop never uses customer data to train AI models; DPAs and ZDR agreements with third‑party model providers.
- **Enterprise‑grade security**: SOC 2 Type II, VPC deployments, audit logging, role‑based access, and AI model restrictions.
- **Model agnostic**: Supports multiple AI models with no vendor lock‑in; customers can bring their own API keys and proxies.

## Strategic Focus
- **Current priorities**: Scaling the platform for enterprise adoption, expanding the Gumstack observability layer, and deepening integrations with internal and external data sources. Recent focus on “making everyone an AI engineer” through self‑serve automation.

## Why Work Here
- **Culture**: Very small, world‑class team (≈40 people) building infrastructure used by some of the largest companies. Emphasis on impact and speed.
- **Interview process**: Includes a paid work trial — candidates spend a day working on the product alongside founders to assess mutual fit.
- **Mission‑driven**: “Help our users get promoted, help their company go AI‑native, and help everyone focus on work that matters.”
- **Work policy**: Not explicitly stated as fully remote/hybrid; headquarters in San Francisco. Likely a hybrid or in‑office preference given the small team, but check during application.
- **Notable perks**: Direct access to founders, fast decision‑making, and chance to shape the future of AI automation.

## Sources
1. [gumloop.com](https://www.gumloop.com/) – Official website (product, features, security, Series B announcement)
2. [gumloop.com/careers](https://www.gumloop.com/careers) – Careers page (mission, team size, interview process)
3. [ycombinator.com](https://www.ycombinator.com/companies/gumloop) – Y Combinator profile (founding, funding timeline, team size)
4. [linkedin.com](https://ca.linkedin.com/company/gumloop) – LinkedIn company page (headcount, funding details, culture, customers)

## Other roles at Gumloop

- [Founding Business Recruiter](https://feeny.ai/job/founding-business-recruiter-gumloop-san-francisco-jf5cb1az3vsd) — San Francisco, CA
- [Founding Product Marketer](https://feeny.ai/job/founding-product-marketer-gumloop-san-francisco-3jq9gb5tcfyn) — San Francisco, CA
- [Senior Customer Success Manager](https://feeny.ai/job/senior-customer-success-manager-gumloop-san-francisco-45fhqjtyc5wy) — San Francisco, CA
- [Video Content Producer](https://feeny.ai/job/video-content-producer-gumloop-san-francisco-qe4hbtqm2pvf) — San Francisco, CA
- [Strategic Partnerships Lead](https://feeny.ai/job/strategic-partnerships-lead-gumloop-san-francisco-tsv6t931jt30) — San Francisco, CA
- [Senior Accountant](https://feeny.ai/job/senior-accountant-gumloop-san-francisco-46nm30zj00r9) — San Francisco, CA
- [Senior Product Designer](https://feeny.ai/job/senior-product-designer-gumloop-san-francisco-vgf07annx5ym) — San Francisco, CA
- [Solutions Engineer (Pre-Sales)](https://feeny.ai/job/solutions-engineer-pre-sales-gumloop-san-francisco-44damqh296t5) — San Francisco, CA
- [Staff Brand Designer](https://feeny.ai/job/staff-brand-designer-gumloop-san-francisco-pwhn47kymmew) — San Francisco, CA
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-gumloop-san-francisco-bm03jjgxrpv5) — San Francisco, CA