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.
Anthropic is seeking an experienced Performance Programs Lead to evolve how we approach performance management and feedback across our rapidly growing organization. In this critical role, you will own the full lifecycle of our performance review program—from strategic design through implementation—while fostering a culture of continuous feedback and excellence that aligns with Anthropic's mission and values.
As the Performance Programs Lead, you will be the architect of performance systems that balance our commitment to rigorous evaluation with our collaborative, mission-driven culture. You'll partner closely with People Products and technical teams to build and deploy solutions that make performance reviews and feedback seamless and impactful. This role requires someone who can translate complex organizational needs into elegant and effective program designs and technical requirements, while building alignment and influencing behaviors across all levels of the organization.
This is an opportunity to build performance systems from the ground up at one of the most important AI companies in the world. You'll be working with a talented, mission-driven team that's committed to both technical excellence and creating a positive impact on society. Your work will directly influence how we recognize and develop talent, maintain our culture of high performance and collaboration, and scale our organization responsibly as we pursue our mission of building safe, beneficial AI systems.
You'll have significant autonomy to design and implement programs that reflect our unique culture while leveraging cutting-edge approaches and technology. This role offers exposure to senior leadership and the opportunity to shape foundational people processes that will support Anthropic's growth for years to come.
The expected salary range for this position is:
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.
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.
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