GTM Compensation Partner

GTM Compensation Partner

New York City, NY; San Francisco, CA | New York City, NY

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. This role will support our GTM org on the strategy, design and execution of Anthropic's compensation programs, as well as other creative compensation approaches that support our diverse and growing team. This role is a great fit for someone who has both seen compensation excellence at scale and operated in rapidly scaling, high-ambiguity environments with evolving scope.

Key Responsibilities

• Support Anthropic's overall compensation framework, including salary, variable compensation and equity-based programs to attract and retain highly sought-after talent
• 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
• Provide subject matter expertise and accurately interpret, counsel, communicate, and educate HR Business Partners, managers and leadership on pay decisions, policy and guideline interpretations, and job evaluations
• Create compelling data narratives and presentations for leadership, translating complex analysis into clear strategic 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 with all of Anthropic

Minimum Qualifications

• Deep expertise in compensation, preferably in a high growth environment
• Demonstrated experience with sales plan design and implementation
• Strong collaboration and program management skills, with a track record of taking on ambiguously-scoped projects and taking ownership to deliver amazing results
• Thrive in strategic thinking while also being comfortable with hands-on execution and detailed analysis
• Exceptional communicator, particularly in writing

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:

$310,000 - $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. 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.