Go to Market Engineer / RevOps Engineer
Impossiblecloud · Hamburg ·
- Category
- Sales
- Experience
- 2+ years
Impossiblecloud · Hamburg ·
ABOUT US:
Impossible Cloud is a fast-growing B2B cloud company headquartered in Hamburg, Germany. We have built a cloud object storage solution comparable to AWS S3, purpose-built and optimised for AI and compute workloads. Our commercial hyper-growth speaks for itself, powered by our channel-first go-to-market strategy.
We are now expanding beyond storage: we are building a high-performance compute platform, offering an end-to-end solution from GPU infrastructure to full GPU platform software stack. In doing so, we are redefining the cloud ecosystem by bridging the gap between decentralised infrastructure (DePIN), mainstream B2B cloud use cases, and AI applications.
Find out more about us here.
Please note that we can only consider candidates who have a valid, unrestricted work permit for the EU.
Impossible Cloud's go-to-market motion is built on automation, data, and speed. As our Go to Market Engineer, you own the technical infrastructure that makes it run: from Inbound lead automations that connect our Marketing efforts with the CRM to the Sales quoting process. In this role you will actively own and develop the data model and automated processes in and around the CRM.
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.
Core Requirements
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.
WHAT WE OFFER:
OUR CULTURE:
We are committed to success. We embrace individuals from all backgrounds who share the goal of building a future European cloud champion, celebrated through a richly diverse team of 15+ nationalities and 10+ languages spoken.
OUR HIRING PROCESS:
Apply: Submit your CV or LinkedIn profile via the application form.
First response: We review every application carefully and get back to you within a few days. If your profile is a strong match, we'll invite you to an intro call via Google Meet.
Get to know us: We move quickly through two to four interview steps, including a meeting with our founders.
Offer: If it's a mutual fit, you'll receive a personal offer and feedback call, followed by a written offer document.
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