Principal Product Manager - AI HR Agent

New
United States: California or Philadelphia, PennsylvaniaFull-TimePrincipal
Salary not disclosed
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Job Details

Required Skills
Kubernetes

Requirements

  • Engineer background — you can read code and reason about systems
  • Strong product sense and design ability — problem to wireframe to shipped product
  • Product research chops — you run discovery, synthesize qualitative and quantitative inputs, and turn research into roadmap decisions
  • Agentic AI fluency — you use Cursor agents, Claude, and similar tools daily
  • Product-led sales experience — you’ve built self-serve funnels, activation flows, and usage-based sales signals
  • Extreme ownership and speed — you default to action and own outcomes
  • Relentless curiosity — contract law, Kubernetes, behavioral psychology, whatever it takes
  • Design taste and chops — You can wireframe and develop mid fidelity prototypes where required without a designer
  • Core Data Analysis Skills — you can work with product usage data, compliance datasets, and qualitative research to generate insights.
  • Process experience - you can translate real-world HR and legal processes into the product by encoding workflows and business logic
  • Past founder or co-founder (Preferred)
  • Legal or HR domain experience, particularly GC or legal ops (Preferred)
  • Integration experience — PRDs covering auth, data mapping, error handling, sync strategies (Preferred)

Responsibilities

  • Extreme Product Ownership — discovery, design, specs, delivery, outcomes
  • Build the product-led sales engine — onboarding, activation, upgrade triggers, PQLs, viral loops
  • Drive integrations — CLMs, HRIS, doc management, email; define data models and API contracts with particular focus on permission models and ethical walls
  • Run product research — competitive analysis, user interviews, workflow mapping, market sizing; synthesize into clear product direction
  • Talk to GCs, legal ops, and HR leaders constantly — build conviction from real workflows, not feature requests
  • Ship fast — cut scope, measure what matters, kill what doesn’t
  • Work across time zones — distributed team across US, India, Ireland, Poland
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