Incentive Compensation System Engineer
San Francisco, CA | New York City, NYFull-TimeMid-levelSoftware Engineering
About Anthropic
- Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
- As an Incentive Compensation Systems Engineer, you will lead the technical implementation, configuration, and optimization of our incentive compensation management (ICM) platform. You will work closely with Revenue Operations, Data Engineering, Finance, Accounting, and HR to translate incentive compensation designs into scalable system configurations, ensuring accurate calculations, reliable integrations, and efficient workflows. This role is critical to building the technical foundation that enables our incentive compensation programs to operate effectively at scale.
ICM Platform Implementation & Configuration
- Lead the end-to-end implementation and configuration of our ICM platform, including plan modeling, crediting rules, quota management, and payout calculations
- Translate compensation plan documents into system logic, ensuring accurate and auditable calculation outputs
- Design and maintain system workflows for plan changes, exceptions, and adjustments
- Develop and execute testing strategies to validate system accuracy before each compensation cycle
- Provide technical guidance during plan design discussions, advising on system capabilities and constraints
- Lead the end-to-end implementation and configuration of our ICM platform, including plan modeling, crediting rules, quota management, and payout calculations
- Translate compensation plan documents into system logic, ensuring accurate and auditable calculation outputs
- Design and maintain system workflows for plan changes, exceptions, and adjustments
- Develop and execute testing strategies to validate system accuracy before each compensation cycle
- Provide technical guidance during plan design discussions, advising on system capabilities and constraints
Data Integration & Architecture
- Build and maintain integrations between the ICM platform and source systems (CRM, ERP, HRIS, billing platforms)
- Ensure data integrity across the compensation data pipeline, from opportunity data through final payout
- Partner with Data Engineering and Revenue Operations to define data requirements and resolve data quality issues
- Document data flows, transformation logic, and system dependencies
- Build and maintain integrations between the ICM platform and source systems (CRM, ERP, HRIS, billing platforms)
- Ensure data integrity across the compensation data pipeline, from opportunity data through final payout
- Partner with Data Engineering and Revenue Operations to define data requirements and resolve data quality issues
- Document data flows, transformation logic, and system dependencies
System Administration & Optimization
- Serve as the primary system administrator for the ICM platform, managing user access, security, and system health
- Identify opportunities to streamline and automate compensation processes, reducing manual intervention and cycle time
- Monitor system performance and troubleshoot calculation errors or integration failures
- Evaluate and recommend new technologies, including Claude-powered solutions, to enhance system capabilities
- Serve as the primary system administrator for the ICM platform, managing user access, security, and system health
- Identify opportunities to streamline and automate compensation processes, reducing manual intervention and cycle time
- Monitor system performance and troubleshoot calculation errors or integration failures
- Evaluate and recommend new technologies, including Claude-powered solutions, to enhance system capabilities
Reporting & Analytics
- Build and maintain reporting infrastructure within the ICM platform to support compensation dashboards and attainment tracking
- Partner with Revenue Operations and Accounting to deliver accurate, timely compensation data for forecasting and accruals
- Enable self-service reporting for compensation administrators and business partners
- Build and maintain reporting infrastructure within the ICM platform to support compensation dashboards and attainment tracking
- Partner with Revenue Operations and Accounting to deliver accurate, timely compensation data for forecasting and accruals
- Enable self-service reporting for compensation administrators and business partners
You may be a good fit if you have
- A passion for Anthropic's mission to build safe, transformative AI systems
- 5+ years of experience implementing or administering ICM platforms (e.g., Xactly, Varicent, Anaplan)
- Strong technical skills with experience in SQL, data integration tools, and system configuration
- Proven ability to translate business requirements into system logic and maintain accurate, auditable calculations
- Experience managing data pipelines and ensuring data quality across integrated systems
- Strong problem solving skills with a systematic approach to debugging and root cause analysis
- Excellent documentation practices and ability to communicate technical concepts to non-technical stakeholders
- Bachelor's degree in a technical or quantitative field preferred
- A passion for Anthropic's mission to build safe, transformative AI systems
- 5+ years of experience implementing or administering ICM platforms (e.g., Xactly, Varicent, Anaplan)
- Strong technical skills with experience in SQL, data integration tools, and system configuration
- Proven ability to translate business requirements into system logic and maintain accurate, auditable calculations
- Experience managing data pipelines and ensuring data quality across integrated systems
- Strong problem solving skills with a systematic approach to debugging and root cause analysis
- Excellent documentation practices and ability to communicate technical concepts to non-technical stakeholders
- Bachelor's degree in a technical or quantitative field preferred
Strong candidates may also have
- Experience with full ICM platform implementation projects, including vendor selection and data migration
- Proficiency with APIs and integration platforms (e.g., Workato, Fivetran, custom ETL)
- Experience with Salesforce administration or development
- Familiarity with consumption-based compensation models
- Experience with Claude Code or other AI-assisted development tools
- Background in sales operations, revenue operations, or finance systems
- Experience with full ICM platform implementation projects, including vendor selection and data migration
- Proficiency with APIs and integration platforms (e.g., Workato, Fivetran, custom ETL)
- Experience with Salesforce administration or development
- Familiarity with consumption-based compensation models
- Experience with Claude Code or other AI-assisted development tools
- Background in sales operations, revenue operations, or finance systems
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
How we're different
- We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
