Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Machine Learning @ 3
Leadership @ 3
Communication @ 6
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 Team
The Alignment Special Ops team identifies and executes some of the most neglected, high-leverage projects across Anthropic’s Alignment org and beyond. We’re a small team with a broad mandate and our work takes us across the entire company (and often, the broader safety research ecosystem). You will accelerate technical research, incubate new research efforts, and drive high-priority initiatives that don’t have a natural home elsewhere (e.g., the Anthropic Fellows Program).
About the Role
You’ll own 3–4 special projects at a time. These are generally ambiguous, cross-functional problems that need someone to define the goal and approach, build the plan, coordinate the team, and drive to a result.
This role is in-person in San Francisco, CA. The posting header also lists New York City, NY as a location.
Responsibilities
- Scope, plan, and drive model evaluation projects end-to-end: understand the goal with researchers, coordinate contributors across teams & externally, staff efforts, and produce deliverables on a tight deadline
- Manage external research collaborators—onboarding, expectation-setting, contracts, and handling edge cases as they arise
- Synthesize complex information into decision-relevant inputs for leadership so they can move quickly
- Identify new projects the company should take on, make the case in writing, get buy-in, and execute
- Run the Alignment team offsite and similar events, including managing logistics, agendas, and delegation
Requirements
- 5+ years in chief-of-staff, program management, operations, or similar roles in a research, technical, or fast-moving environment (e.g., consulting, startups)
- Ability to take a loosely-scoped problem, define a goal, break it into concrete steps, and execute without waiting for direction
- Experience building and managing teams, programs, or functions from scratch
- Strong written communication—preference for concise, decision-focused documents
- Comfortable making decisions with incomplete information and juggling multiple workstreams
- Motivated by Anthropic’s mission of ensuring the world safely manages the transition through transformative AI
Strong Candidates May Also Have
- Experience working directly with researchers, especially in AI safety or machine learning
- Familiarity with the AI safety research landscape, key organizations, and ongoing debates
Logistics
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Minimum years of experience: correlates with internal job level requirements (posting states 5+ years in related roles)
- Location-based hybrid policy: currently, staff are expected to be in one of our offices at least 25% of the time; some roles may require more time in office
- Visa sponsorship: We do sponsor visas (the posting states they will make reasonable efforts and retain an immigration lawyer to help)
Compensation
Annual Salary:
$210,000 - $290,000 USD
How we're different
We believe 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 value impact over smaller, narrowly-focused puzzles. We view AI research as an empirical science with similarities to physics and biology, and we are an extremely collaborative group that hosts frequent research discussions to ensure high-impact directions.
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.