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.

We're seeking an experienced Compensation Systems and Infrastructure professional to lead the implementation and optimization of our compensation technology infrastructure. You'll be responsible for evaluating, implementing, and integrating compensation systems, building scalable processes from the ground up, and driving strategic enhancements that support our rapid growth. This is a high-impact individual contributor role for someone who thrives on building and transforming compensation technology ecosystems.

Responsibilities

Build and run the systems, tools, and processes that power compensation at Anthropic, partnering with People Systems, People Analytics and People Products teams to design technical solutions and implement scalable infrastructure
Lead full-cycle implementations of compensation management systems, from vendor selection and requirements gathering through deployment, integration, and adoption across HRIS, compensation planning, and equity management platforms
Design and architect scalable compensation system infrastructure from scratch, including data models, workflows, approval chains, and integrations that support organizational growth from startup to scale
Partner with Compensation, People Systems, People Analytics and People Products teams to translate compensation requirements into technical specifications, ensuring our tools and systems are purpose-built to support our unique needs
Own the technical execution of annual compensation cycles and off-cycle changes, ensuring accurate data flows, building planning templates and dashboards, and partnering with Finance to validate budgets
Own compensation metrics strategy in partnership with People Analytics team, defining key performance indicators, building executive dashboards, and delivering insights that inform compensation philosophy and budget planning
Develop and maintain compensation heatmaps and analytical tools that enable data-driven decision-making on market competitiveness and compensation trends
Transform manual compensation processes into automated, system-driven solutions through continuous optimization, change management, and adoption of new technologies
Create enablement and governance frameworks that enable self-service and ensure consistent system usage across the organization
Explore and implement innovative ways to incorporate Claude into compensation programs and tools, identifying opportunities to enhance efficiency, improve employee experience, and unlock new capabilities

You may be a good fit if you

Have 6-8 years of experience in compensation, with at least 3 years leading compensation systems implementations and analytics
Have successfully implemented compensation planning platforms from scratch (e.g., Workday Compensation, Pave, or equivalent)
Have experience partnering with technical teams (engineering, data analytics) to design and implement systems solutions
Have advanced Excel/Google Sheets skills, including complex formulas, pivot tables, and data modeling
Have excellent project management skills with experience leading cross-functional projects, and the ability to translate business needs into technical requirements and partner effectively with engineering teams
Have experience with change management and driving user adoption of new systems
Have exceptional attention to detail and commitment to data accuracy
Experience with equity management systems (e.g., Carta, Shareworks)
Care about building scalable, efficient systems that transform how work gets done

Deadline to apply: None. Please note that Anthropic is shut down for a Winter Break between December 20 and January 4. We will begin reviewing applications January 5.

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:

$245,000—$310,000 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