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Full-time

Principal Product Manager, Agentic AI

Legion · US · Remote
Pay
$280K–$300K / yr
About the role

Legion is building AI agents that perform workforce management work, not describe it. This Principal Product Manager role leads product work to solve the substantial problem of software that reasons over demand, labor regulation, and employee preferences, then acts with human oversight. The role involves taking agent surfaces from operational research through specification, prototype, evaluation, and enterprise deployment. Work includes agent definition, problem selection, human-in-the-loop design, build quality oversight, evaluation, specifications, commercialization, and design-partner delivery with enterprise customers.

What you'll do
  • •Determine agent scope, tools, escalation thresholds, and manager visibility for scheduling decisions affecting employee pay and legal compliance
  • •Identify which workflows suit agents and which do not through time spent inside customer operations
  • •Define autonomy levels, escalation thresholds, override mechanisms, logging, and audit approaches for each agent action
  • •Stay engaged through implementation: review builds against specifications, use product before others, join bug triage, catch drift while cheap to correct
  • •Build and maintain evaluation sets to determine if agents are ready to ship and track production degradation
  • •Write and maintain Functional Requirements Documents as ground-truth specifications; partner with go-to-market on packaging, metering, and pricing
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
  • •Demonstrated hands-on capability: writing prompts, standing up prototypes, using agentic coding tools daily, reviewing execution traces, building evaluation sets
  • •Substantial enterprise B2B SaaS experience: multi-tenant architecture, role-based access control, audit trails, SSO, data residency, security review
  • •Record of taking ambiguous, operationally complex domain problems through to shipped products with demonstrated adoption
  • •Evidence of staying with products through implementation and owning quality at release
  • •Comfort working inside codebases, ability to read code, run it locally, and open pull requests; strong written communication
Skills
LLM-backed Product DevelopmentAgentic AI and Agent DesignEnterprise B2B SaaSWorkforce Management or Operationally CoLabor Compliance and Regulatory KnowledgPrompt Engineering and System PromptsEvaluation and Testing FrameworksHands-On Prototyping with Agentic Coding

Found on weworkremotely.com. Link checked Nov 9. Marquee links to the company's own application. We are not the employer.