Go-To-Market Systems Engineer

New
Based in the United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
PythonSQLJavascriptSalesforceRESTful APIsCRM

Requirements

  • 5+ years of experience in GTM systems, Revenue Operations, Sales Operations, or related technical roles.
  • Strong hands-on Salesforce expertise, including administration of objects, workflows/flows, validation rules, and reporting.
  • Experience integrating and managing GTM tools such as Outreach, HubSpot, Gong, ZoomInfo, Apollo, Clay, or similar platforms.
  • Strong technical ability in scripting or querying languages such as SOQL, SQL, Python, or JavaScript.
  • Experience working with APIs and system integrations across SaaS platforms.
  • Solid understanding of B2B SaaS sales processes, funnels, lead lifecycle management, and revenue operations.
  • Strong communication skills with the ability to translate technical concepts for non-technical stakeholders.
  • Ability to thrive in fast-paced, ambiguous, high-growth environments with strong ownership mindset.

Responsibilities

  • Own the architecture, configuration, and ongoing optimization of core GTM systems, including CRM, marketing automation, sales engagement, and data enrichment platforms.
  • Design and maintain scalable integrations between GTM tools to ensure reliable, consistent, and accurate data flow across the revenue stack.
  • Build and deploy automation workflows, including AI-driven routing logic, lead scoring systems, and productivity enhancements for sales and marketing teams.
  • Enforce data governance and hygiene standards across all GTM systems, proactively monitoring and resolving data quality or system issues.
  • Partner with Sales, Marketing, and Customer Success leadership to translate business requirements into scalable technical solutions.
  • Evaluate, implement, and manage GTM tools and vendors, including full lifecycle integration and rollout.
  • Manage system administration tasks such as user provisioning, permissions, roles, and access controls across platforms.
  • Document system architecture, workflows, and data models to ensure long-term scalability and knowledge sharing.
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