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 are seeking an experienced Compensation Partner to join our small and mighty Total Rewards team. In this role, you will lead the strategy, design and execution of Anthropic’s compensation programs. This will include all things related to compensation, including base salary, equity-based programs, as well as other creative programs 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.
Responsibilities- Partner with the Total Rewards team to design Anthropic's overall compensation framework, including base salary and equity-based programs to attract and retain highly sought-after talent
- Conduct market research, analysis and benchmarking to ensure Anthropic’s compensation programs are market competitive
- 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
- Manage compensation systems and tooling, including implementation of compensation processes in Workday
- Develop and deliver enablement on our compensation philosophy and programs with all of Anthropic
- Have 10+ years of experience in Compensation, preferably in a high growth environment
- Have designed and implemented global equity compensation programs including options, RSUs, and other forms of equity compensation
- Have experience with Workday compensation implementation
- Demonstrate an understanding of sales plan design and implementation
- Have strong collaboration and program management skills, with a track record of taking on ambiguously-scoped projects and taking ownership to deliver amazing results.
- Are an exceptional communicator, particularly in writing.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
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 differentWe 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.