---
title: 'Solutions Engineer (Pre-Sales) at Gumloop'
canonical: 'https://feeny.ai/job/solutions-engineer-pre-sales-gumloop-san-francisco-44damqh296t5'
type: 'job'
last_seen: '2026-09-09'
---

# Solutions Engineer (Pre-Sales) at Gumloop

- **Company:** Gumloop
- **Location:** San Francisco, CA
- **Compensation:** $150k–$210k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/gumloop/94b10dd5-8498-4339-8b23-01bed81b2fc2

## Job description

## About Us

Gumloop is the piece of AI infrastructure companies roll out to let everyone build agents securely. Let people who understand the problem build and share agents, manage their access to data, choose your AI models and host it all in your own cloud.

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 we’re working on – Changelog https://www.gumloop.com/changelog

## 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.

## About the Role

As a Pre-Sales Solutions Engineer at Gumloop, you'll be the technical partner Account Executives rely on to win deals, and work directly with prospects to turn their highest-value automation opportunities into production reality on our platform. You'll run discovery on live opportunities, build tailored demos and proofs of concept, and lead technical evaluations through to signed contracts.

This is a hands-on role. You'll scope solutions, build them on the platform, get them running reliably, and make sure customers can take ownership and keep building. You own outcomes, not just demos.

## WHAT YOU'LL DO

- Partner with Account Executives on active opportunities — run technical discovery calls, qualify fit, and surface the highest-value automation use cases for each prospect.
- Build and deliver tailored demos and proofs of concept that show prospects exactly how Gumloop solves their problem, and own the technical win through to signed contract.
- Field technical, security, and integration questions that come up during evaluation, looping in Engineering for anything outside your depth.
- Pilot new customers end-to-end — scope the right use cases, build working solutions on the platform, and drive to production.
- Train customer teams to build, iterate, and scale their own automations and agents.
- Be the trusted technical advisor customers rely on for architecture decisions and best practices, from first conversation through scale.
- Be the voice of the customer back to Product and Engineering — turning patterns from deals and deployments into roadmap input.
- Build reusable demo environments, templates, and reference architectures that make every future deal and deployment faster.

## WHAT YOU BRING

- Have worked in a customer-facing technical role that touches the sales cycle (Sales Engineer, Solutions Engineer, Solutions Architect, or similar) and are comfortable owning a technical win, not just supporting one.
- Are a builder, not just a presenter — you'll scope it, prototype it, and iterate until it works, rather than clicking through a canned demo.
- Have strong technical fundamentals — comfortable with APIs, integrations, and data pipelines, and can read/write code (Python, JS/TS).
- Have hands-on experience with AI/LLM-powered applications — prompt engineering, agent architectures, evaluation, or automation frameworks.
- Can lead a room — effective with non-technical teams and C-suite alike, translating technical capabilities into business impact.
- Thrive in ambiguity and move fast — you're defining the playbook, not following one.

## BONUS

- Experience with automation/agentic platforms (n8n, Zapier, Make, Retool, or similar).
- Background in consulting, professional services, or implementation at a high-growth SaaS company.
- Familiarity with enterprise security and compliance concerns (SOC 2, SSO/SCIM, VPC deployments).

## 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%

## 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

- [Software Engineer - Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-gumloop-san-francisco-hzhp4m57wmgg) — San Francisco, CA
- [Founding Product Designer](https://feeny.ai/job/founding-product-designer-gumloop-san-francisco-vgf07annx5ym) — San Francisco, CA
- [Founding Customer Success Manager](https://feeny.ai/job/founding-customer-success-manager-gumloop-san-francisco-45fhqjtyc5wy) — 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
- [Head of Marketing](https://feeny.ai/job/head-of-marketing-gumloop-san-francisco-adaan4syw8h2) — San Francisco, CA
- [GTM Engineer](https://feeny.ai/job/gtm-engineer-gumloop-san-francisco-tgzb6pq36s1s) — San Francisco, CA
- [Design Engineer Intern](https://feeny.ai/job/design-engineer-intern-gumloop-san-francisco-gmenjhabcb5f) — San Francisco, CA
- [Design Engineer](https://feeny.ai/job/design-engineer-gumloop-san-francisco-xrrhdr8w02yb) — San Francisco, CA