Incentive Compensation Partner

About Anthropic

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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

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As an Incentive Compensation Partner, you will play a pivotal role in the design, implementation, and administration of our sales incentive program. You will work closely with Sales, Customer Success, GTM Strategy, Finance, and HR to ensure accurate, timely, and compliant incentive payouts, while also identifying opportunities to optimize our compensation structures and processes. This role is critical to motivating our salesforce and driving sustainable growth by ensuring our incentive programs are effective, efficient, and clearly understood.

Responsibilities:

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Compensation Administration & Operations

• Manage the end-to-end administration of incentive compensation plans for various teams, including data validation, quota attainment tracking, and commission calculations.
• Ensure accuracy and compliance of all compensation payouts according to plan documents and company policies.
• Oversee the resolution of compensation-related inquiries and disputes, providing clear and timely explanations.
• Develop and maintain documentation for compensation plans, policies, and processes.
• Partner with Finance and Revenue Operations to model, manage, and deploy sales quotas.

Data Analysis & Reporting

• Develop and maintain dashboards and reports to monitor compensation plan performance, payout trends, and attainment against quotas.
• Provide actionable insights to leadership on the effectiveness of incentive programs and potential areas for optimization.
• Conduct ad-hoc analysis to support strategic decision-making related to compensation.

Business Partnering

• Serve as the day-to-day point of contact for Sales, Finance, and Revenue Operations on all compensation administration matters, providing timely updates and proactive communication.
• Translate business context and sales priorities into operational execution, ensuring compensation administration reflects current GTM strategy and organizational changes.
• Build strong working relationships across teams to efficiently resolve complex compensation scenarios that require multi-stakeholder input and decision-making.

System & Process Optimization

• Work with cross-functional teams to implement an incentive compensation management platform
• Ensure data integrity and system accuracy within compensation platforms.
• Identify opportunities to streamline and automate compensation processes using Claude powered solutions, and recommend new technologies as needed.

You may be a good fit if you have:

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• A passion for Anthropic's mission to build safe, transformative AI systems
• 5+ years of experience in incentive compensation operations, sales operations, or finance with a focus on commission administration in an enterprise software environment
• Strong analytical skills with proficiency in Google Workspace, BI tool (e.g. Looker), CRM (e.g. Salesforce), and Incentive Compensation Management (ICM) software (e.g. Xactly, Varicent, Anaplan)
• Proven track record of managing complex data sets and ensuring data accuracy in compensation calculations
• An ability to translate complex compensation plan details into clear and concise communications
• Demonstrated success in improving efficiency and accuracy in compensation processes
• Strong project management and stakeholder management skills across various functional teams
• A healthy balance of attention to detail with a strategic understanding of business objectives
• Bachelor's degree required; MBA or advanced degree preferred

Strong candidates may also have:

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• Experience with AI/ML driven compensation insights
• Experience with ICM platform implementation
• Proficiency in Claude Code
• Experience with consumption-based pricing compensation structures

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

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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

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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!

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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