Job Description - GTM Engineer

Potentiam is a fast-growing global offshore solutions provider connecting top talent with leading UK and European businesses. With offices across South Africa, Romania, India, and Brazil, we offer international exposure, real career progression, and the opportunity to work with high-performing global teams.


We combine global opportunity with local support giving you the chance to grow, make an impact, and build a long-term career in a business that’s scaling fast.


Global clients. Clear progression. Real opportunity.


About the Opportunity


Our client is an established UK technology-services business offering solutions across cybersecurity, AI, data, managed services and modern workplace. They are strengthening the commercial operating system that sits behind growth and are seeking a GTM Engineer to bring greater consistency, intelligence and value from their CRM and marketing data.


Purpose of the Role


The GTM Engineer will turn CRM and marketing data into a reliable commercial operating system. Working across Marketing and Sales, the role will improve data quality, lifecycle processes, automation, lead handling, reporting and adoption - giving teams better visibility, more relevant engagement and a stronger basis for commercial decisions.


Duties & Responsibilities



  • Audit CRM structure, data quality, lifecycle stages, integrations and lead leakage; establish a baseline and prioritised remediation roadmap.

  • Define and implement practical data standards, cleansing, deduplication, enrichment and validation processes.

  • Improve segmentation, ICP/account-tiering models, lead scoring, routing rules, nurture journeys and sales hand-offs.

  • Support the effective integration and use of CRM and martech systems, including HubSpot, Dynamics and associated data sources.

  • Build and maintain funnel dashboards, campaign attribution and reporting that provide clear commercial insight and recommendations.

  • Use AI-assisted enrichment and workflow automation where it will meaningfully improve targeting, process quality or user productivity.

  • Create process documentation, QA controls and practical change support to drive reliable user adoption.

  • Continuously improve CRM operations while respecting the boundaries of the role: it does not own sales quotas, SDR execution, enterprise data engineering or website growth.


Skills & Experience



  • 4–7+ years’ experience across CRM operations, marketing operations, lifecycle management, RevOps or growth operations in a B2B technology, SaaS, managed-services or data-led commercial environment.

  • Strong capability in HubSpot, Dynamics, Salesforce or a comparable CRM; able to configure and improve workflows, reporting and data-management processes.

  • Experience improving data quality, lead handling, segmentation, automation, hand-offs and funnel visibility.

  • Commercially literate with the ability to turn CRM data into clear recommendations for Marketing and Sales stakeholders.

  • Working knowledge of CRM/martech integrations; API and webhook familiarity is beneficial.

  • Experience with campaign attribution, pipeline influence, consent/privacy requirements and change adoption is advantageous.

  • Relevant CRM or marketing-automation certifications are welcome, but practical evidence of outcomes matters most.


Ideal Candidate Profile


You are systematic, analytical and commercially curious. You enjoy solving messy operational problems, can communicate clearly with non-technical stakeholders and take ownership of improving the detail without losing sight of the customer and revenue outcome.


Location & Working Hours


Hybrid, Cape Town. Working hours aligned to UK business hours.




Data Privacy Notice:


The personal information you provide during the application and recruitment process will be used solely for recruitment purposes, in accordance with our data protection policies.


For any questions regarding data processing related to HR activities, please contact Chantal Endemann at [email protected].


All data shared with third parties complies with applicable confidentiality and retention requirements.

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