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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