---
title: 'GTM Engineer at Gumloop'
canonical: 'https://feeny.ai/job/gtm-engineer-gumloop-san-francisco-tgzb6pq36s1s'
type: 'job'
last_seen: '2026-09-09'
---

# GTM Engineer at Gumloop

- **Company:** Gumloop
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-29
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/gumloop/009e7242-01da-4b78-beb1-a39e8156b766

## 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

## ROLE OVERVIEW

We're looking for a GTM Engineer to build and operate the automated systems that power Gumloop's revenue engine. You'll focus on three areas first and foremost: sales outbound, marketing automation and customer success. This is an individual contributor role on a GTM function that exists but is still in its earliest days, so you'll have a real greenfield opportunity to shape how we work.

You'll build agents and workflows on Gumloop to automate our own go-to-market, and you'll also work across Salesforce, Clay, Apollo, HeyReach, Ads Platforms to connect the full GTM stack into one automated system. We've seen what a technical person can do in this role and we want more of it: someone who thinks in systems, is comfortable with APIs and data, and can ship automations that make our sales, marketing, and CS teams dramatically more productive.

## WHAT YOU'LL DO

- Build the GTM engine on Gumloop: Design and deploy AI agents and workflows that automate our own go-to-market, from signal-based prospecting and enrichment to meeting scheduling, CRM hygiene, and post-call follow-ups. Dogfood the platform harder than anyone.
- Connect the full GTM stack: Integrate Salesforce, Clay, Apollo, and other tools into a cohesive system where data flows cleanly between them. Build the enrichment logic, sync architecture, and routing rules that keep everything accurate and deduplicated.
- Own and build inside Salesforce: Take ownership of the objects, fields, tables, flows, automations, validation rules, and integrations that keep our revenue motion running cleanly - and give every GTM team the structure and clean data they need to execute.
- Automate sales outbound: Build the outbound engine end-to-end, covering intent detection, account enrichment, AI-personalized touchpoints, human review checkpoints, and CRM sync, all wired to a single output: qualified meetings on the calendar.
- Automate marketing and CS workflows: Ship playbooks for lifecycle marketing, lead scoring, churn-risk alerts, onboarding sequences, and customer health monitoring. Turn manual, repetitive work across marketing and CS into automated systems.
- Partner with GTM leadership to turn strategy into systems: Work directly with sales, marketing, and CS leadership to translate go-to-market strategy into automated playbooks, dynamic scoring models, and signal-driven workflows that produce measurable revenue outcomes.
- Own data quality and governance: Build the validation rules, deduplication logic, and data structure that the rest of the GTM stack depends on, so every team can trust the data they're working from.
- Build for reliability and document your work: Design observability, monitoring, and debugging into the systems you build to keep them running at high uptime, and document what you ship so others can understand, trust, and extend it.
- Influence the product: Your experience automating Gumloop's own GTM is a direct input to product development. Surface friction, propose features, and help shape what we build next.

## WHAT YOU BRING

- Technical aptitude: You're comfortable working with APIs, webhooks, data integrations, and SQL. You can write scripts to connect systems and manipulate data. You don't need to be an advanced coder, but you think in systems and can build automations from scratch.
- 3+ years in a GTM Engineering, Growth Engineering, Revenue Operations, or technical RevOps role where you worked closely with sales, marketing, or CS teams. We're also open to people from adjacent technical roles who want to move into GTM.
- GTM fluency: You understand the sales funnel, CRM data models (Salesforce, HubSpot), enrichment ecosystems (Clay, Apollo, 6sense), and how revenue teams actually work day-to-day. You can speak the language of AEs, SDRs, and CSMs.
- GTM tooling fluency: You're comfortable across the modern outbound and prospecting stack - LinkedIn Sales Navigator, Unify (and similar sequencers), HeyReach, PhantomBuster, and other GTM tooling - and can wire these tools together into automated workflows.
- Attribution & analytics literacy: You understand attribution models and when to apply each (first-touch, second-touch, last-touch, view-through, and multi-touch attribution), and you're comfortable with the analytics and tracking stack: PostHog, Google Analytics 4, Google Tag Manager, the Meta (Facebook) Pixel, and working with server-side conversion events. You can build reporting that reflects how revenue is actually created.
- Builder mentality: You see a manual process and immediately think about the automation or agent that replaces it. You've shipped internal tools, automation pipelines, or data workflows that measurably improved a team's output.
- AI-native mindset: You've built with LLMs, prompt engineering, or AI agents, whether in production or on the side. You have opinions about when AI should make decisions versus when a deterministic workflow is the right call.
- High ownership in ambiguity: You thrive in early-stage environments where the requirements aren't fully defined. You figure out what matters, build it, ship it, iterate, and own the outcome.

## BONUS

- Fluency with AI-native GTM tools -Gumloop, Claude, Cursor, OpenAI or equivalent
- CS degree or equivalent technical background
- Open source contributions or side projects related to automation, agents, or data pipelines
- Familiarity with ad platforms is a plus - LinkedIn Ads, Google Ads (search, YouTube, display), and Meta Ads
- Experience building ABM (account-based marketing) campaigns from scratch is a plus
- Experience shipping production LLM applications, or a background in analytics / data engineering

## 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
- [Solutions Engineer (Pre-Sales)](https://feeny.ai/job/solutions-engineer-pre-sales-gumloop-san-francisco-44damqh296t5) — 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
- [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
- [GTM Engineer](https://feeny.ai/job/gtm-engineer-suger-io-san-francisco-mfc7ehhbe39k) — San Francisco, CA