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# Go to Market Engineer / RevOps Engineer

- **Company:** Impossible Cloud GmbH
- **Location:** Hamburg, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Cleansing, Relational Databases, Middleware, SQL Databases, Large Language Models, Multi-Agent Systems, Backend, Hubspot, Webhooks
- **Published:** August 3, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=f947a316dfbcc70b

## About the Role

* 2+ years of experience in GTM engineering, RevOps engineering, growth engineering, or solutions architecture operating in a B2B (Tech) Sales environment.
 * Hands-on experience building and managing operational workflows using HubSpot, Clay, and n8n.
 * Solid understanding of CRM schemes, custom objects, relational data structures, and lifecycle funnel logic.
 * Problem-Solving Mindset: Ability to take vague GTM strategy requests and engineer clean, repeatable, automated solutions.
 * AI-embedded working style: using Claude, multi-agent workflows, and automation tooling is already part of how you work.

Nice to Have

 * Solid backend and data fundamentals: comfortable with SQL, and data models to understand system behaviour and troubleshoot issues independently.

Always

 * You have taken ownership of complex systems end-to-end and can clearly explain the impact you delivered. We care about specifics and measurable outcomes.

## Description

* Architect the Revenue Tech Stack: Build and maintain scalable integrations across HubSpot, Clay, Superset (Business Intelligence), and Claude via webhooks, APIs, and automation middleware (e.g. n8n).
 * System of Record Ownership (HubSpot): Maintain the health, custom objects, workflows, and data syncs within HubSpot to ensure reps receive actionable leads and enrichment context in real time.
 * Scalable Data Enrichment (Clay/Surfe): Design and manage automated enrichment waterfalls and prospecting workflows in Clay, pulling from multiple data vendors to dynamically populate company and contact profiles.
 * AI & Operational Workflow Optimization: Implement modern AI agents and LLM-assisted workflows for automated lead qualification, personalized outreach, CRM record updates, and technical sales enablement.
 * Product Telemetry & Warehouse Activation (Superset): Surface intent signals (e.g., accounts approaching usage limits) and activate them in downstream sales and marketing systems.
 * Cross-Functional Collaboration: Partner with Sales and Marketing teams to translate non-technical revenue ideas into robust, automated software workflows.


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