Research Operations, Reinforcement Learning

Anthropic•San Francisco, CA

3d•Hybrid

About The Position

Research Operations owns the work behind every model launch, review, and cross-team program, bringing clarity to ambiguity, providing stability during change, and continually deepening domain knowledge so that researchers can spend their time on the problems only they can solve. This role will embed with the leadership of the reinforcement learning (RL) organization, the team responsible for training Claude to be more capable, more reliable, and more aligned. The Research Operations professional will shape what leadership spends its time on, ensure 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. This role reports to the Manager of Research Operations and works daily with RL org leaders and their teams.

Requirements

Care deeply about Anthropic's mission and let it underpin all judgment calls made across the org.
Technical fluency to engage substantively with researchers, including understanding the model training process and being able to hold your own in a technical conversation.
Clear writing skills to turn dense, jargon-heavy material into summaries and plans that technical collaborators can act on.
An eye for great dashboards and the ability to scope improvements that make lessons at-a-glance clearer and grounded.
Strong follow-through and attention to detail; nothing falls through the cracks.
Ability to push back on senior stakeholders to offer strategic guidance, disagree without causing discord, and influence without direct authority.
Comfort with ambiguity and a fast-changing environment; staying steady when the pace is relentless and the stakes are high.
Experience in an operations, chief of staff, program management, or comparable role supporting senior leaders in a fast-moving technical organization.
High integrity.

Nice To Haves

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.

Responsibilities

Own leadership's time by shaping the week around leaders' specific, most timely priorities, setting agendas so meetings are spent on decisions that move the org forward, and cutting what isn't critical so leaders stay focused on the highest-leverage areas.
Triage what reaches leadership by resolving what can be handled, routing what belongs elsewhere, and thoughtfully escalating the rest.
Enable wise decision-making and follow-through by providing leaders with what they need to decide quickly, communicating 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 leadership’s time for creating durable comms that set direction in turbulent times.
Make the org run better by finding recurring friction and identifying people who can fix the underlying process.
Act as a thought partner by offering honest, candid counsel to leaders, including crisp and kind disagreement.