Forward-Deployed CRM Architect

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GTM Base

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

🤝 B2B

🤖 Artificial Intelligence

B2B • Artificial Intelligence

GTM Base is an AI-first RevOps and GTM (go-to-market) agency that designs and builds revenue operations systems for B2B companies. They specialize in CRM architecture and data foundations, enrichment from many sources, AI agents and automations for prospecting and data entry, and connecting tech stacks with the CRM as the hub. GTM Base offers audits and roadmaps, managed RevOps/GTM engineering, project-based builds, and advisory services focused on scaling GTM operations and improving pipeline efficiency.

📋 Description

• You'll build and maintain GTM process and automation inside our clients' CRMs, mostly HubSpot. • Working from the direction set in your pod, you turn requirements into a clean, well-built system the sales team can rely on. • You're a builder with an admin's discipline. • You sweat the details others miss, you test before you ship, and you document what you build so the rest of the pod can run it. • When something breaks, you find the root cause and fix it properly. • Architect and build in client HubSpot instances: information architecture (objects, associations, lifecycle stages, pipeline structure), workflows, deal logic, lead scoring, routing, properties, and permissions. • Build and debug automations across the GTM stack: HubSpot workflows, n8n, APIs, and webhooks. • Guard data integrity: deduplication, field validation, association hygiene, and import discipline so reporting and forecasting can be trusted. • Build the reporting leadership relies on: pipeline coverage and velocity, stage-by-stage conversion, and full-funnel dashboards. • Design integrations and data flows between HubSpot and the rest of the stack (Clay, Aircall, telephony, billing, enrichment pipelines). • Keep multiple client instances healthy at once, with fast turnaround and nothing falling through the cracks. • Work client-facing: you can talk through a data question with a technical lead and walk a frustrated AE through a new flow in the same afternoon. • Codify what works into our library of reusable plays and patterns, so every client build sharpens the whole team.

🎯 Requirements

• Deep HubSpot expertise: hands-on across Sales, Marketing, Service, and Operations Hubs. • Strong CRM and RevOps fundamentals: lead lifecycle and qualification, routing and assignment, pipeline and deal-stage setup, the data model, and the governance that keeps it clean. • An admin's discipline: precise, reliable, and detail-obsessed. • A builder's instinct: you build workflows and integrations, debug them when they break, and aren't intimidated by APIs, webhooks, or a tool you haven't used yet. • AI-first, and we mean it literally: AI is your default operating mode, not a novelty. • Forward-deployed temperament: comfortable building across multiple clients in parallel, client-facing, proactive, and able to move fast without waiting for perfect requirements • Full-time availability with reliable overlap to CET hours. • Nice-to-have Salesforce: admin or build experience, especially HubSpot to Salesforce sync and migrations (relevant to Groupon and enterprise work) • A working understanding of the GTM Engineer's toolkit: Clay, Apify, enrichment providers (ZoomInfo, Apollo, Clearbit), scraping. Enough to collaborate, spec, and integrate. • n8n orchestration and custom API integrations • Scripting (Python, SQL, or JavaScript) for data manipulation and custom connectors • German: a good chunk of our client base is DACH • HubSpot certifications: a plus, never a gate. Demonstrated depth matters more.

🏖️ Benefits

• Real client build work from day one, with no busy work and no hand-holding • A front-row seat in a genuinely AI-first environment: Claude Code as the operating system, Clay, and the full modern GTM stack • Direct collaboration with one of the most experienced RevOps leaders in Europe • Exposure to a wide range of B2B companies, stacks, and GTM problems • A seat at the table in a growing practice, not a cog in a machine