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Research Product Manager, Model Behaviors

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anthropic
Posted 2 weeks ago
Posted 1 April 2026
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About the Role

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2 class="heading">About the role:</h2> <p>As a Product Manager for Model Behaviors, you will partner with the Alignment Finetuning team to define and shape Claude's character, behaviors, and reinforcement signals—work that directly influences how millions of people experience AI. You will systematically identify high-priority behavioral improvements, coordinate across Research, Product, and Safeguards teams, and accelerate our ability to ship well-aligned models. The ideal candidate combines deep user empathy with the judgment to navigate nuanced behavior questions where there are no clear right answers.</p> <h2>Responsibilities:</h2> <ul> <li>Define behavioral defaults and steerability constraints&nbsp;</li> <li>Develop and maintain taxonomies of model behaviors across capabilities</li> <li>Identify, triage, and prioritize behavior issues and opportunities, coordinating input from Users, Research, Product, and Safeguards teams</li> <li>Amplify alignment research breakthroughs, translating them into product, process, and model improvements</li> <li>Deeply understand user interaction patterns to identify behavior improvements that make Claude more helpful and safe</li> <li>Contribute to evals that measure alignment progress</li> <li>Identify and scale initiatives and tools that help researchers ship alignment improvements faster</li> </ul> <h2 class="heading">You might be a good fit if you:</h2> <ul> <li>Have a deep passion and curiosity for AI and LLMs. Use AI regularly.&nbsp;</li> <li>Have 5+ years in product management leading scaled conversational AI products.&nbsp;</li> <li>Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions</li> <li>Have a track record of delivering products and features to end-users (consumer or end-user b2b focus)</li> <li>Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities</li> <li>Have strong judgment and model taste, with the ability to make tradeoffs when there is no clear right answer</li> <li>Have a strong grasp of ML concepts and are willing to go deep on technical solutions&nbsp;</li> <li>Have intellectual curiosity without ego—comfortable asking questions and learning independently</li> <li>Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks</li> <li>Have a creative, hacker spirit and love solving puzzles</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p> <p>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.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$305,000</span><span class="divider">&mdash;</span><span>$385,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> 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.</p> <p><strong data-stringify-type="bold">Visa sponsorshi

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