Senior Manager, Sales Operations Go-to-Market Planning

Responsibilities

• Lead in-year operations execution across assigned GTM coverage areas, including new hire quota setup, proration methodology, attainment checks, exception handling, and quota deployment.
• Own Pigment model governance: data inputs, model logic, version control, and output accuracy for in-year operations.
• Partner with Field Operations to ensure consistent and timely delivery of quota and attainment data; serve as the primary operational point of contact for in-year issues.
• Design, document, and deliver enablement on in-year operations policies and processes for Field Operations and cross-functional partners.
• Drive cross-functional coordination with HR, Finance, and Enterprise Technology to ensure planning inputs and outputs are accurate, aligned, and delivered on time.
• Identify process gaps and implement system-based improvements; drive automation and operational enhancements that reduce manual work and improve cycle reliability.
• Perform regular quota and attainment reviews to ensure accurate performance reporting and commissions processing.
• Manage and develop a team of analysts and individual contributors, building domain expertise, planning fundamentals, and a culture of rigor and ownership.

Requirements

• 7+ years of professional experience with a core focus in Sales Operations, GTM planning, or comparable revenue operations role; experience at a high-growth enterprise technology company preferred.
• Deep understanding of in-year sales operations processes, including quota methodology, attainment calculation, exception frameworks, and compensation plan operationalization.
• Proficiency in Pigment or comparable planning tools (e.g., Anaplan), including model building, data integration, and version control.
• Strong command of Salesforce and BI/reporting tools (Sigma, Tableau, or equivalent).
• Demonstrated ability to manage cross-functional stakeholder relationships across HR, Finance, and IT/ET.
• Proven track record of delivering accurate, high-quality planning outputs on tight timelines.
• Experience managing and developing individual contributors.
• Proficiency with data analysis tools; SQL experience preferred.
• Bachelor's degree in Business, Finance, Economics, or a related quantitative discipline.