The vacancy is well-structured with clear responsibilities and a competitive salary, but lacks some company visibility.
Job description
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.
Responsibilities
### What You Will Do:
- Own the self-serve revenue engine end-to-end, including the n8n → HubSpot → Stripe pipeline. You manage trial-to-paid conversion, dunning flows, payment retries, and overall billing reliability with clear ownership of revenue impact.
- Build, maintain, and troubleshoot the broader GTM automation stack across n8n workflows, HubSpot routing, Webflow, lead capture, and partner infrastructure, ensuring leads are properly captured, attributed, and routed.
- Improve the self-serve funnel by identifying conversion drop-offs, implementing fixes, and measuring results using Supabase, SQL, and event data.
- Proactively identify gaps and edge cases across the revenue stack before they become problems, from silently failing automations to billing issues that hurt conversion.
- Stay current with GTM engineering, automation tooling, and AI workflows, and apply new approaches where they create real business value.
Requirements
### What You Bring to the Table:
#### Core Requirements
- Hands-on experience building and maintaining production-grade automations using n8n, APIs, webhooks, HubSpot, and Stripe.
- Strong understanding of usage-based billing and revenue operations, including trial conversion, dunning, failed payments, and Stripe billing workflows.
- Solid backend and data fundamentals: comfortable with Supabase, SQL, and data models to understand system behaviour and troubleshoot issues independently.
- Engineering mindset: you use GitHub, version your automations, and treat GTM infrastructure with the same discipline as production software.
- AI-native working style: using Claude, multi-agent workflows, and automation tooling is already part of how you work. This is a baseline expectation at Impossible Cloud, not a differentiator.
#### Nice to Have
- Experience with analytics and tracking tools such as GA4, GTM, Mixpanel, and attribution systems.
- Familiarity with Webflow, conversion optimisation, landing pages, and lead-routing logic.
- Exposure to technical SEO, GEO, or performance marketing.
#### 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.
Conditions
### What We Offer:
- Competitive salary coupled with direct engagement in your success through an enticing ESOP.
- Clear and transparent career progression scheme inspired by the best performing organisations incl. fast track promotion opportunity for exceptional performance to support your growth ambitions.
- Prime growth-stage company with proven revenue and a sharp edge in cloud — founded by serial entrepreneurs with multiple successful exits.
- Experienced, passionate team working with cutting-edge cloud technology.
- A vibrant office in a trendy location with free brain food and a canteen — plus a subsidized premium gym membership and monthly team meet-ups that bring the whole crew together!
About Impossiblecloud
Impossible Cloud provides sovereign S3 object storage, bare metal GPU servers, and enterprise-grade cloud services with a focus on European digital sovereignty, GDPR compliance, high performance, and transparent pricing. They serve thousands of customers across Europe, initially focused on the DACH region, with a decentralized architecture for AI and data-intensive workloads.