Incentive Compensation Systems Manager

Details

Grafana Labs is seeking an Incentive Compensation Systems Manager to drive the systemization, automation, and continuous improvement of commission operations. This is a high-impact individual contributor role reporting to the Senior Manager, Incentive Compensation. The role involves identifying process gaps, replacing manual workarounds with scalable systems, and improving the predictability, accuracy, and speed of commission, quota, and compensation-plan administration in a fast-paced, remote-first environment.

The role provides end-to-end exposure to incentive compensation data flows from CRM systems such as Salesforce, People systems such as Workday, calculation engines such as Xactly, and payout and reporting platforms such as BigQuery. The manager will partner with Incentive Compensation Operations, Finance & Strategy, People Operations, Revenue Operations, and IT/Data teams to improve workflows, integrations, and tooling.

Responsibilities

• Map current-state workflows covering plan administration, calculations, approvals, and payouts.
• Identify and prioritize manual, repetitive, error-prone, or high-risk processes.
• Design and build automated workflows, integrations, and tooling for data pulls, reconciliations, approval routing, and exception handling.
• Replace ad hoc spreadsheets and one-off scripts with durable, repeatable systems.
• Own and configure Xactly instances, including Incent and Connect, calculation rules, plan logic, and workflows.
• Identify opportunities to use AI tools and LLM-driven agents for exception detection, data reconciliation, plan-document review, and common compensation questions.
• Ensure reliable data integration between incentive compensation systems, CRM, HRIS, data warehouses, and other business systems.
• Establish documentation, standard operating procedures, and controls for systematized processes.
• Create a continuous-improvement cadence for identifying and eliminating manual work.
• Translate incentive compensation process needs into system requirements and communicate system and data constraints to business teams.
• Support urgent, ad hoc requests during payout cycles while developing long-term system improvements.

Requirements

• 5+ years of experience in incentive compensation, sales operations, revenue operations, or a related systems or process-improvement role.
• Experience in a fast-paced technology or SaaS business is highly preferred.
• Demonstrated experience identifying inefficient processes and building solutions to systematize them.
• Hands-on SQL experience and the ability to query and reconcile data across systems.
• Experience building automated workflows using scripting, workflow or RPA platforms, or incentive compensation management systems.
• Familiarity with platforms such as Xactly, CaptivateIQ, Varicent, or SPIFF platforms.
• Familiarity with CRM systems such as Salesforce, HRIS platforms, data warehouses such as BigQuery, and compensation-management platforms such as Xactly.
• Strong cross-functional communication and systems-requirements skills.
• Understanding of quotas, accelerators, SPIFFs, and payout timing.

Bonus Qualifications

• Experience in a high-growth SaaS, cloud, or open-source company, particularly a public company or an organization undergoing IPO readiness.
• Experience working in globally distributed, remote-first organizations across multiple time zones.
• Experience documenting datasets and workflows for Model Context Protocol (MCP) server ingestion or building AI skills and agents for incentive compensation data discovery, exception detection, or reporting.

Compensation and Benefits

• United States base compensation range: $144,000–$173,000 per year.
• Restricted Stock Units (RSUs) are included for all roles.
• 100% remote global culture.
• Career growth opportunities.
• 30 days of annual leave, including three Grafana Shutdown Days, subject to local legislation.
• In-person onboarding.

Grafana Labs is an equal opportunities employer. The company may use AI tools in its recruitment process to assist with matching CV information to job postings, while recruitment teams continue to manually review applications.