Legion’s industry-leading workforce management platform maximizes labor efficiency and employee engagement simultaneously. Backed by Accel.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 7+ years in product management (Senior) or 10+ years (Principal), including at least 2 years shipping LLM-backed features to external, paying users — not internal tools, proofs of concept, or hackathon projects
- Demonstrated hands-on capability of the kind described above. Expect to show your work
- A record of taking an ambiguous, operationally complex domain problem through to a shipped product with demonstrated adoption — not only launch
- Evidence of staying with a product through implementation and owning its quality at release. We will ask about a release you delayed or stopped, what you found, and how you found it
- The judgment to recognize what current models cannot do reliably, and the willingness to say so when a room expects a different answer
- Comfort working inside a codebase. An engineering background is not required, but you should be able to read the code behind what you are specifying, run it locally, and open a pull request
More about this role
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.
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...
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