Work Hard EverywhereJob Description
Headquarters: Remote, United States
Principal Product Manager, Agentic AI
REMOTE, United States
JOB OVERVIEW
Legion is building AI agents that carry out workforce management work, not agents that describe it.
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.
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.
RESPONSIBILITIES AND DUTIES
Agent definition. 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.
Problem selection. 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.
The human-in-the-loop contract. Scheduling decisions affect income, childcare arrangements, and legal protections. For each agent action you will define where autonomy is appropriate, the escalation thresholds, how a manager overrides the system, what is logged, and how a compliance team audits the outcome. Legion treats this as a first-class design problem.
Build quality....
Principal Product Manager, Agentic AI
REMOTE, United States
JOB OVERVIEW
Legion is building AI agents that carry out workforce management work, not agents that describe it.
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.
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.
RESPONSIBILITIES AND DUTIES
Agent definition. 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.
Problem selection. 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.
The human-in-the-loop contract. Scheduling decisions affect income, childcare arrangements, and legal protections. For each agent action you will define where autonomy is appropriate, the escalation thresholds, how a manager overrides the system, what is logged, and how a compliance team audits the outcome. Legion treats this as a first-class design problem.
Build quality....