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.

Responsibilities:

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

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

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

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

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

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

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:

$190,000—$270,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Incentive Compensation System Engineer