Kong
Professional Services Strategy & Operations Manager
Wisconsin, United States
Sponsorship not specifiedDetected 41 days ago
SQLData VisualizationSalesforceForecastingLeadershipCommunication
About the role
- We're looking for a PS Operations Manager to play a pivotal role in scaling our Services organization and driving operational excellence across strategic program execution, systems, and reporting.
- Be the operational backbone for key Professional Services programs, including monetization initiatives, investment management, credits, and customer outcome tracking.
- Improve team efficiency by streamlining workflows, reducing manual effort, and enhancing productivity.
Responsibilities
- Implement automations and AI solutions that eliminate repetitive tasks and create more time for customer-facing work.
- Collaborate with Salesforce administrators to optimize and scale PS systems.
- Support and improve core PS administrative operations, including month-end procedures, expense management, revenue tracking and forecasting, partner costs, and ROI analysis.
- Maintain and evolve our reporting suite to ensure PS leadership has accurate, real-time visibility into spend, forecasts, delivery performance, and customer outcomes.
- Partner with Finance and RevOps to align PS financial planning and reporting with broader company goals.
- A builder's mindset, with the ability to direct the configuration and evolution of systems like Certinia and Salesforce to support a scaling PS org.
Requirements
- Expertise in Google Sheets and Google Slides, with a working knowledge of SQL to update existing queries.
- 4+ years of experience in operations within enterprise software.
- Knowledge of AI automation platforms (Claude, N8N,...)
Skills
- For more information, visit www.konghq.com http://www.konghq.com.
Company info
- Nobody checks every box - we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
This listing is sourced directly from Kong's careers page and normalized into a canonical job model.