AI-Driven Enterprise Product Lead

Cornerstone OnDemand

Dublin (CA)

Hybrid

USD 140,000 - 200,000

Full time

4 days ago
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Job summary

Cornerstone OnDemand is seeking a Lead Product Manager to drive AI-native products and enterprise outcome agents that deliver measurable customer value. The role requires hands-on PM skills, rapid prototyping, and close collaboration with customers and engineering across multiple offices.

The ideal candidate excels in ambiguity, translates customer needs into prototypes and product direction, and moves fast from discovery to shipped capabilities with rigor.

Qualifications

  • 5+ years of experience in product management, delivering enterprise software or AI-native products.
  • Strong track record in customer-facing product delivery for SaaS or AI-native platforms.
  • Hands-on experience turning customer needs into prototypes and shipped solutions.
  • Experience using AI-native prototyping tools to accelerate definition and validation.

Responsibilities

  • Lead end-to-end delivery of AI-native products and enterprise agents from discovery to prototype, iteration, and launch.
  • Collaborate with customers, engineering, and cross-functional teams to validate solutions early.
  • Translate customer problems into clear product requirements, use cases, and concepts for rapid testing.
  • Develop working prototypes using AI-native tools to accelerate validation and delivery.
  • Collaborate with design, data science, architecture, and GTM teams to bring concepts to production.

Skills

Enterprise product delivery
Customer-facing PM
Cross-functional leadership
Prototype development
Requirements gathering
Stakeholder management

Tools

Lovable
Claude
Co-Pilot

Job description

Cornerstone OnDemand is seeking a Lead Product Manager to drive AI-native products and enterprise outcome agents that deliver measurable customer value. The role requires hands-on PM skills, rapid prototyping, and close collaboration with customers and engineering across multiple offices.

The ideal candidate excels in ambiguity, translates customer needs into prototypes and product direction, and moves fast from discovery to shipped capabilities with rigor.

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