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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