Senior Director, Revenue Systems

Key Responsibilities

• Own the architecture and roadmap for Komodo's revenue tech stack: Salesforce, CPQ, revenue intelligence tools (Gong, Boostup/Terret), and BI platforms
• Design and automate GTM workflows across Sales, Marketing, and CS, replacing manual processes with scalable systems
• Manage vendor relationships and evaluate new GTM tooling as the stack evolves
• Serve as the cross-functional systems authority for GTM tools owned by adjacent teams (e.g., Highspot), ensuring integrations, data flow, and platform changes align with the broader revenue systems architecture
• Build and maintain reporting and dashboards for pipeline, forecasting, and performance, owned as living systems, not static reports
• Own territory, quota, and compensation system design and administration
• Partner with IT and data teams on integrations to keep systems and data connected and clean
• Work with Sales, CS, RevOps, Enablement, Marketing, and Finance leaders to identify process gaps and translate them into systems solutions
• Act as the technical/operational counterpart to revenue leadership, turning strategy into working infrastructure

What You Bring To Komodo Health

• 10+ years in Revenue Systems, Business Operations, or GTM Systems, ideally in SaaS or healthtech
• Proven track record architecting and scaling a GTM tech stack, hands-on with Salesforce plus tools like Gong, Boostup/Terret, Tableau, or Looker
• Experience building process automation (Workato or similar iPaaS tools) that reduces manual work and improves data integrity
• Experience standing up AI-driven automation within a revenue systems environment
• Strong technical fluency, comfortable partnering directly with IT/data teams on system integrations
• Experience owning GTM tooling across Sales, CS, RevOps, Enablement, and Marketing functions
• Strong stakeholder management skills, able to translate technical tradeoffs for exec audiences
• Experience building and leading a team

Expectations Of AI Use In This Role

• Uses Claude/Glean to automate recurring reporting and surface anomalies in pipeline/forecast data
• Evaluates and pilots AI-driven capabilities within the GTM stack (forecasting, lead scoring, workflow automation, etc.)