Product Manager, Paradox LLM Platform

Workday Workday · Enterprise · Scottsdale, AZ +1

Product Manager for Workday's Paradox LLM Platform, focusing on a conversational recruiting AI assistant. The role involves owning the end-to-end product lifecycle for core AI capabilities, including discovery, requirements, design, launch, monitoring, and improvement. Key responsibilities include reviewing LLM traces, acting as a liaison between engineering and business teams, defining product vision and roadmap, and driving solution design for AI, RAG, agents, and LLM orchestration.

What you'd actually do

  1. Own the end-to-end product lifecycle for core AI capabilities—from early discovery, through requirements and design, to launch, monitoring, and continuous improvement.
  2. Review LLM traces and AI conversation logs to identify potential gaps, and logic failures, and translate these insights into changes in prompts, data, or system logic that lift performance.
  3. Act as the primary product liaison between the global engineering team and US Sales, Marketing, and Customer teams, synthesizing market sentiment and customer feedback into clear technical requirements and priorities.
  4. Define the product vision, strategy and roadmap, including the underlying technical capabilities.
  5. Drive solution design for each release based on user requirements, technical architecture, and business outcomes.

Skills

Required

  • product management
  • SaaS and/or cloud-based enterprise software products or features
  • AI applications
  • Language Models
  • LLM Literacy
  • Data Analysis
  • Decision Making
  • Stakeholder Management

Nice to have

  • HR Tech and/or AI industry and market domain knowledge
  • Research methodologies and tools

What the JD emphasized

  • 5+ years experience in product management, defining and delivering SaaS and/or cloud-based enterprise software products or features.
  • 1+ years experience with AI applications, Language Models, LLM Literacy (Vibe Coding).

Other signals

  • AI Assistant
  • conversational recruiting platform
  • AI, RAG, agents, and LLM orchestration layer
  • core AI capabilities
  • LLM traces and AI conversation logs