Research Operations, Reinforcement Learning

About This Role Own leadership's time. Shape the week around the leaders' specific, most timely priorities, set agendas so meetings are spent on decisions that move the org forward, and cut what isn't critical so leaders stay focused on the areas that are highest-leverage for them. Triage what reaches leadership. Resolve what you can, route what belongs elsewhere, and thoughtfully escalate the rest. Enable wise decision-making and follow through. Give leaders what they need to decide quickly, communicate those decisions to collaborators, and track commitments through to completion. See problems coming. Surface resourcing gaps, technical bottlenecks, and stalled action-items before they become blockers. Scale leadership voice. Meetings are ephemeral; docs are forever. Draft materials for org-wide announcements, programming, and planning sessions. Protect leadership’s time for creating durable comms that set direction in turbulent times. Make the org run better. Find the friction that keeps recurring and find the people who can fix the process behind it. Be a thought partner. Offer honest, candid counsel to leaders, including crisp and kind disagreement. Requirements 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: you can follow a discussion about an RL training run, read a set of eval results and form reasonable hypotheses about what they mean, and hold your own in a technical conversation. You don't need to have trained a model yourself, but you should understand the model training process and have the depth to work closely with leading researchers. Preferred Qualifications Experience supporting a senior leader directly in a chief of staff or related functionTime in a research institution, lab, or other research-heavy organizationTrack record of anticipating what colleagues and leaders will need and acting on it before being askedComfort in an environment where the right answer changes hour to hourExperience moving routine operational work to AI agents, or the ability to script and build small toolsFamiliarity with AI safety or other existential risks.The annual compensation range for this role is listed below.For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Skills LLMPyTorchPythonDeep Learning Compensation & Benefits $210,000 — $260,000 USD