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Kubermatic

Manages Kubernetes across multi-cloud and on-prem

GTM Engineer - HubSpot, Automation & AI

Sales OperationsUpdated on Nov 12
Full-timeRemote in GermanyNo salary listed

About the Job

Requirements

  • Hands-on experience administering HubSpot Marketing Hub, Sales Hub, and CRM, including properties, workflows, lifecycle stages, pipelines, lists, forms, and reporting.
  • Experience building automations and integrations using Make, n8n, Zapier, or native integrations, and comfort working with APIs, webhooks, and JSON.
  • Scripting skills in Python, JavaScript, or a similar language sufficient to call an API, transform data, or write a custom code step in a workflow.
  • Practical experience with web and campaign tracking, including GA4, UTM structures, conversion tracking, and attribution.
  • Understanding of day-to-day B2B sales and marketing processes, including lead qualification, handoffs, pipeline stages, and the information sales representatives need to act on a lead.
  • Experience structuring, cleaning, and maintaining a CRM database.
  • Fluent English at C1 level and ability to explain technical setups clearly to non-technical colleagues.

Responsibilities

  • Administer and configure the HubSpot portal, including properties, lifecycle stages, lead scoring, pipelines, forms, lists, user permissions, and settings; maintain HubSpot as the single source of truth for customer and contact data.
  • Define and maintain lifecycle stages, lead status, lead routing, and the marketing-to-sales handoff, including service-level agreements and clear ownership at each stage.
  • Set up, connect, and maintain tools around HubSpot, such as Make, Luma, Pretix, Google Analytics, and website forms, ensuring data syncs correctly between systems.
  • Build workflows for contact and account enrichment, scoring and prioritization, event follow-ups, and sales alerts that provide timely context.
  • Use large language models, APIs, and scripts to automate research, enrichment, and data cleanup, and document each workflow.
  • Implement and maintain tracking across websites, campaigns, and events, including GA4, HubSpot tracking code, UTM conventions, and conversion events; ensure touchpoints are attributed correctly in HubSpot.
  • Own database hygiene, including deduplication, property standards, segmentation, consent and opt-in status under GDPR, and regular cleanups.
  • Build HubSpot and GA4 dashboards showing campaign, event, and pipeline performance from first touch to closed deal, and help the team interpret and act on them.
  • Document setups, naming conventions, and processes, and support marketing, sales, and event colleagues in using HubSpot and automations correctly.

Desired Qualifications

  • Experience building AI or LLM steps into go-to-market workflows, such as account research, enrichment, or lead summaries.
  • Experience with Clay or similar enrichment tools, or with intent and signal data.
  • HubSpot certifications or HubSpot administration experience in a B2B SaaS company.
  • Experience with Google Tag Manager, Looker Studio, or a data warehouse such as BigQuery.
  • A background in a sales-facing or operations role such as SDR, AE, sales operations, or marketing operations, or knowledge of the cloud-native and Kubernetes market.
  • Working knowledge of GDPR requirements for marketing data and consent management.
  • German language skills.

About the Company

Kubermatic

Manages Kubernetes across multi-cloud and on-prem

Kubermatic provides software and services to manage Kubernetes for large organizations across multicloud, on-premises, and edge environments. Its products automate and streamline Kubernetes operations: KubeOne handles single-cluster automation, KubeLB manages centralized load balancing, and the Kubermatic Kubernetes Platform (KKP) offers comprehensive multicloud and on-prem management from one control plane. The company differentiates itself by delivering end-to-end automation and centralized control for complex Kubernetes deployments across diverse environments, reducing manual operational work. Its goal is to simplify and automate Kubernetes operations so enterprises can focus on their core business activities, with revenue coming from software licenses, support, and consulting.

Company size
51-200
Company stage
Seed
Total funding
$8.3M
Headquarters
Hamburg, Germany
Founded
2016

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