<p> <strong>Headquarters:</strong> Remote, United States </p> <h1><strong>Principal Product Manager, Agentic AI</strong></h1> <h2>REMOTE, United States</h2> <p><strong>JOB OVERVIEW</strong></p> <p>Legion is building AI agents that carry out workforce management work, not agents that describe it.</p> <p>Much of what is presented as AI in workforce management today is a conversational layer over an existing scheduling screen. The more substantial problem — software that reasons over demand, labor regulation, and employee preferences, then acts, with a person in the loop wherever the stakes require one — remains unsolved across the category. Legion intends to solve it, and this role leads the product work to get there.</p> <p>You will take an agent surface from operational research through specification, prototype, evaluation, and enterprise deployment, working hands-on throughout. You will work closely with Legion's AI Lab engineers and with our CEO, who is engaged in this work daily.</p> <p> </p> <p><strong>RESPONSIBILITIES AND DUTIES</strong></p> <p><strong>Agent definition.</strong> Determine what an agent is responsible for, which tools it may call, what it must escalate, what it must never do, and what a manager sees when it acts. These decisions affect employee pay and legal compliance. Much of this work is pre-launch, so you will shape the direction rather than inherit it. </p> <p><strong>Problem selection.</strong> The hardest judgment in agentic product work is identifying which workflows suit an agent and which do not. You will spend substantial time inside customer operations — district managers, store managers, labor operations, frontline employees — and return with a ranked, defensible view of where an agent creates measurable value and where it does not.</p> <p><strong>The human-in-the-loop contract.</strong> Scheduling decisions affect income, childcare arrangements, and legal protections. For each agent action you will define where autonomy is appropri