Enterprise Systems Administrator

New
D
DoiTGTM systems
This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, or Sweden. We are also open to contractors in Eastern Europe and Portugal., Provide EMEA-hours support for the GTM stack.Full-TimeMiddle
Salary not disclosed
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Job Details

Languages
Fluent English, additional languages are a plus.
Experience
3+ years hands-on with Salesforce Sales Cloud (advanced Flow, data and security model), plus HubSpot and/or DealHub CPQ.
Required Skills
PythonJavascriptRESTful APIsHubSpot

Requirements

  • Have 3+ years of hands-on experience with Salesforce Sales Cloud, including advanced Flow, data, and security model.
  • Have experience with HubSpot and/or DealHub CPQ.
  • Have working knowledge of Apex, SOQL, and REST APIs.
  • Be able to write scripts in Python or JavaScript.
  • Show a track record of replacing manual processes with automation or self-service, with before-and-after examples.
  • Apply systems thinking to decisions about where logic and data should live across connected systems.
  • Understand lead-to-quote-to-close and the marketing funnel, including lead lifecycle and attribution.
  • Be comfortable using AI coding and automation tools every day.
  • Communicate clearly and work effectively with business users and engineers.
  • Be fluent in English; additional languages are a plus.
  • Hold Salesforce Platform App Builder or Platform Developer I certification (nice to have).
  • Git/SFDX, deeper experience with Gong, ZoomInfo, or HubSpot, cloud platforms, integration platforms, or event-driven systems are nice to have.

Responsibilities

  • Own the connected GTM systems, including CRM, CPQ, marketing automation, and sales-engagement tools.
  • Clarify the business problem behind requests, propose options, explain trade-offs, and push back when appropriate.
  • Measure recurring manual work and replace it with automation or self-service tools.
  • Build automations, small tools, and integrations using the simplest sustainable approach.
  • Maintain a lean, trustworthy data model and enforce data quality where data enters.
  • Keep integrations reliable by using native connectors where suitable and adding error handling and monitoring for custom integrations.
  • Use AI tools to build, investigate issues, and speed up routine work.
  • Provide EMEA-hours support for the GTM stack and use observed issues to prioritize improvements.
  • Document changes and follow change management from sandbox to production.
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