Incentive Compensation Systems Manager
Own and improve incentive compensation systems by replacing manual commission processes with scalable automation, integrations, and AI-enabled workflows. The role requires 5+ years in incentive compensation or related operations, strong SQL and systems fluency, and experience with tools such as Xactly.
About the job
Responsibilities
- Map incentive compensation workflows across plan administration, calculation, approvals, and payout; identify and prioritize manual, repetitive, or error-prone steps.
- Design and build automated workflows, integrations, and tooling for data pulls, reconciliations, approval routing, and exception handling.
- Own and configure Xactly instances, including Incent and Connect, calculation rules, plan logic, and workflows.
- Build AI- and LLM-enabled automation for exception detection, data reconciliation, plan document review, and common compensation questions.
- Integrate incentive compensation systems across CRM, HRIS, data warehouses, finance, people operations, revenue operations, and IT/data teams.
- Establish documentation, standard operating procedures, governance, and controls for systematized processes.
- Create a continuous-improvement cadence to identify and eliminate manual work.
- Translate incentive compensation needs into system requirements and communicate system or data constraints as practical process recommendations.
- Support urgent payout-cycle requests while systematizing recurring fixes.
Requirements
- 5+ years of experience in incentive compensation, sales operations, revenue operations, or related systems/process improvement.
- Experience in a fast-paced technology or SaaS business is preferred.
- Demonstrated success systematizing inefficient processes and building durable solutions.
- Hands-on SQL experience and comfort querying and reconciling data across systems.
- Experience building automated workflows with scripting, workflow/RPA platforms, or incentive compensation management systems.
- Familiarity with CRM, HRIS, data warehouse, and compensation management systems.
- Strong cross-functional communication and systems requirements skills.
- Understanding of quotas, accelerators, SPIFFs, and payout timing.
Nice-to-haves
- Experience in a high-growth SaaS, cloud, or open-source company, especially a public company or IPO-readiness environment.
- Experience collaborating across globally distributed, remote-first teams.
- Experience documenting datasets and workflows for Model Context Protocol (MCP) server ingestion or building AI agents for incentive compensation automation.
Compensation and Benefits
- United States base compensation: $144,000–$173,000.
- Actual compensation varies based on level, experience, and skillset.
- All roles include Restricted Stock Units (RSUs).
Skills
SQL, Xactly, Xactly Incent, Xactly Connect, Salesforce, Workday, BigQuery, Revenue Operations, Rpa, Model Context Protocol, Llm Agents, Incentive Compensation
Similar jobs
Revenue Operations jobs
Current
New York, NY
Manages strategic sourcing, vendor lifecycle processes, contract negotiations, and procurement governance across the organization. Requires 5+ years of procurement or vendor management experience, strong project and communication skills, and a bachelor's degree.
Ramp
New York, NYBuild and administer GTM business systems supporting post-sales teams, with a focus on Salesforce automation, integrations, requirements analysis, and end-to-end implementation. Requires 3+ years in revenue operations or business systems and strong Salesforce expertise.
Hover
San Francisco, CA
Own Salesforce administration and build AI-powered revenue workflows across the go-to-market stack. The role partners with revenue teams on automation, data quality, integrations, and scalable systems, requiring strong Salesforce, RevOps, analytical, and communication skills.
Vercel
San Francisco, CAOwns the martech stack, data governance, campaigns, lifecycle automations, and integrations that support marketing pipeline. The role requires 5+ years of Marketing Operations experience, strong familiarity with marketing automation and CRM systems, basic coding and SQL skills, and comfort with AI-native tools.
Basis
New York, NY
Own the company’s go-to-market systems, outbound infrastructure, revenue-stack integrations, paid acquisition experiments, and AI-enabled growth workflows. The role requires 4–8 years of relevant experience, hands-on CRM and automation expertise, and the ability to use SQL, APIs, and lightweight automations.