Research Operations, Reinforcement Learning

San Francisco · USD 210,000-260,000 / year · Hybrid · Posted Sep 22, 2026

At a glance

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 hiring an experienced operator to embed with the leadership of our reinforcement learning (RL) organization, the team responsible for training Claude to be more capable, more reliable, and more aligned.
You will shape what leadership spends its time on, make sure priority decisions reach the right decision-makers and get made quickly, and clear the path so leaders can focus on the work that matters most.

Own leadership's time by shaping the week around specific, most timely priorities, setting agendas so meetings are spent on decisions that move the org forward, and cutting what isn't critical.
Triage what reaches leadership by resolving what you can, routing what belongs elsewhere, and thoughtfully escalating the rest.
Enable wise decision-making and follow through by giving leaders what they need to decide quickly, communicating those decisions to collaborators, and tracking commitments through to completion.
See problems coming by surfacing resourcing gaps, technical bottlenecks, and stalled action-items before they become blockers.
Scale leadership voice by drafting materials for org-wide announcements, programming, and planning sessions, and protecting time for durable comms.
Make the org run better by finding recurring friction and the people who can fix the process behind it.
Be a thought partner by offering honest, candid counsel to leaders, including crisp and kind disagreement.

Care deeply about Anthropic's mission and let it underpin all judgment calls you make across the org.
Technical fluency to engage substantively with researchers, including following discussions about RL training runs, reading eval results, and holding your own in technical conversations.
Clear writing to turn dense, jargon-heavy material into summaries and plans that technical collaborators can act on.
An eye for great dashboards to look at data visualizations and scope improvements that make lessons at-a-glance clearer and grounded.
Strong follow-through and attention to detail.
Ability to push back on senior stakeholders to offer strategic guidance as needed, disagree without causing discord, and influence without direct authority.
Comfort with ambiguity and a fast-changing environment.
Experience in an operations, chief of staff, program management, or comparable role supporting senior leaders in a fast-moving technical organization.
High integrity.
Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.

Experience supporting a senior leader directly in a chief of staff or related function
Time in a research institution, lab, or other research-heavy organization
Track record of anticipating what colleagues and leaders will need and acting on it before being asked
Comfort in an environment where the right answer changes hour to hour
Experience moving routine operational work to AI agents, or the ability to script and build small tools
Familiarity with AI safety or other existential risks.

Location-based hybrid policy: currently, we expect all staff to be in one of our offices at least 25% of the time, though some roles may require more time in our offices.