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Salary
$66k – $149k per year (Estimated)
Location
In office (Hamburg)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
GDPR-compliant S3 object storage with exceptional performance and full data control. Ideal for backup, disaster recovery, and AI workloads.

WHAT YOU WILL DO:

  • 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.

WHAT YOU BRING TO THE TABLE:

    Core Requirements

    • 2+ years of experience in RevOps engineering 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.

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