Enterprise · HR & finance software
Currently tracking 38 active AI roles, up 97% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$342k (avg $216k).
| Title | Stage | AI score |
|---|---|---|
| Principal Product Manager - Activation & Deployment, Evisort AI Principal Product Manager for Evisort AI at Workday, focusing on the activation and deployment strategy of AI agents for Document Intelligence and Contract Lifecycle Management (CLM). The role involves defining pre-sales activation strategies, innovating demo and Proof of Concept (POC) approaches, acting as a feedback loop from customers to product development, defining the technical narrative around AI differentiation and limitations, and partnering with architecture teams. The goal is to ensure enterprise customers understand, trust, and adopt AI-powered contract management solutions, driving revenue and adoption. | Agent | 7 |
| Product Manager, Agent Platform Product Manager for Workday's Agent Platform, focusing on building the core capabilities for designing, configuring, orchestrating, governing, and adopting intelligent agents across Workday products. The role involves collaborating with customers and internal teams to define platform primitives and experiences for building, deploying, and managing trustworthy agents, with a strong emphasis on AI security and enterprise adoption. |
| Agent |
| 7 |
| Legal AI Product Specialist / Sr Legal AI Product Specialist - Evisort AI This role focuses on product specialization within Legal AI, specifically for contract management. It involves crafting and maintaining datasets for legal models, collaborating with Product Managers and Data Science teams, identifying automation use cases, and becoming a subject matter expert in contracts. The role requires experience with generative AI and LLMs, and analyzing large volumes of legal data. | Data | 7 |
| Senior / Principal Product Manager - Workday AI Product Manager role focused on the delivery of AI-powered agents, either customer-facing or building the underlying infrastructure and frameworks for Workday's application teams. The role involves experimentation, innovation, development, iteration, and scaling of these agents, requiring close collaboration with domain-specific Product Managers to maximize technological impact and drive business value. | Agent | 7 |