Responsibilities

• Own the end-to-end GTM contact data lifecycle, including acquisition, enrichment, validation, deduplication, and governance.
• Ensure contact data is accurate, compliant, and action-ready to support frontline sales execution and core GTM motions.
• Define and enforce global data quality standards, SLAs, and controls as data volume, system complexity, and use cases scale.
• Design, build, and continuously optimize contact data pipelines and automation workflows that power sales plays and GTM execution.
• Partner with senior leadership to rapidly prototype, test, and scale AI-forward GTM use cases without compromising core system stability.
• Translate sales plays and GTM initiatives into production-ready automations, tooling configurations, and data flows that scale with GTM complexity.
• Maintain clear documentation, monitoring, and execution standards to enable consistent delivery, faster onboarding, and smooth global scaling.
• Lead measurement and reporting for GTM data health, enrichment performance, and automation impact, proactively identifying risks, inefficiencies, and investment opportunities

Requirements

• 4–7+ years of experience in GTM Operations, Sales Operations, Revenue Operations, Marketing Operations, Data Operations, or related roles within a B2B SaaS environment.
• Strong hands-on experience working with GTM contact and account data, including acquisition, enrichment, deduplication, governance, and data hygiene practices.
• Experience building and supporting scalable automation workflows, operational processes, and GTM data pipelines.
• Strong understanding of Salesforce data structures, workflows, reporting, and operational data management.
• Experience working with data enrichment, orchestration, and automation tooling (e.g., Clay, Openprise, ZoomInfo, Make, Zapier, Workato, or similar platforms).
• Familiarity with AI-enabled workflows, automation use cases, and signal-driven GTM operating models.
• Strong analytical and problem-solving skills, including experience using reporting, dashboards, SQL, or data analysis techniques to identify operational issues and improve performance.
• Familiarity with APIs, integrations, middleware concepts, and connected workflow architectures used to support scalable automation and GTM execution.
• Strong operational mindset with the ability to balance speed, scalability, reliability, and execution quality in fast-moving environments.