G&A Compensation Partner

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

We are seeking an experienced Compensation Partner to join our Total Rewards team. In this role, you will serve as a strategic partner to Anthropic's G&A organizations - including Finance, Communications, People, Policy, and more - supporting the design, strategy, and day-to-day execution of compensation programs that help us attract and retain exceptional talent.

This is a great fit for someone who has seen compensation excellence at scale and is equally comfortable operating in high-ambiguity, rapidly evolving environments. You'll bring structure and rigor to complex problems while building trusted relationships with executives, People Partners, and recruiting teams across the organization.

Key responsibilities

Operate as a strategic compensation business partner for your client groups, building relationships and context with executives, People Partners, and recruiting to navigate ambiguous problems and recommend solutions tailored to Anthropic's unique needs

Own comp cycle execution end-to-end for your client groups, including market benchmarking review, budget modeling, manager enablement, edge-case resolution, and exec-ready rollups - in partnership with the broader Total Rewards team

Support Anthropic's overall compensation framework, including cash and equity-based programs designed to attract and retain highly sought-after talent

Provide subject matter expertise on pay decisions, policy and guideline interpretation, and job evaluations; counsel and educate HR Business Partners, managers, and leadership accordingly

Create compelling data narratives and presentations for leadership, translating complex analysis into clear, actionable recommendations

Partner cross-functionally to develop scalable processes that enable consistent, high-quality compensation decision-making across the organization

Develop and deliver enablement on our compensation philosophy and programs across all of Anthropic

Minimum qualifications

Demonstrated expertise in compensation program design and execution, including experience with market benchmarking tools (e.g., Radford/Mercer/Levels.fyi), salary survey participation, and job architecture or leveling frameworks

Proficiency in financial modeling and data analysis, with the ability to build and QA compensation models in Excel or Google Sheets

Track record of managing compensation programs or cycles end-to-end, including budget modeling and stakeholder rollups

Strong written communication skills, with the ability to translate complex compensation concepts into clear guidance for non-specialist audiences

Preferred qualifications

Experience in a high-growth or rapidly scaling technology company, where the scope of work evolved quickly and ambiguity was the norm

5+ years of compensation-focused experience, ideally spanning both program design and business partner work

Experience partnering with G&A functions (Finance, Legal, People, Policy, or similar)

Familiarity with equity compensation structures, including RSUs and option grants, and how they factor into total compensation conversations

Experience building or improving compensation enablement materials for managers and HR partners

Comfort presenting analysis and recommendations to senior leadership or executive audiences

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.

Annual Salary:

$255,000 - $310,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links - visit anthropic.com/careers directly for confirmed position openings.

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.