Workday
Enterprise · HR & finance software
Enterprise · HR & finance software
Workday has 43 active AI-related job listings, with a significant focus on roles related to agents, which comprise 67% of their openings. Engineering is the primary function for these hires, with the United States and Canada being the top hiring countries. The company is actively seeking talent in areas such as agent orchestration, model serving, and RAG. In the last 30 days, Workday has seen a substantial increase in AI hiring, with 44 new roles posted, representing a 144% rise compared to the previous 30-day period.
Currently tracking 23 active AI roles, down 46% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$342k (avg $219k).
Workday currently has 33 active AI-related roles in our index. The most common open titles are: Director of Machine Learning Engineering - Agent Factory, LLM Engineer, Machine Learning Engineer - Evisort, Manager, Software Development Engineering, Manager, Software Development Engineering - AI Platform. Most positions are in Engineering and Product.
Workday's active AI hiring is concentrated in: agents (67%), application (24%), serving infrastructure (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Workday is hiring AI talent in: United States (13 roles), Canada (13 roles), Israel (5 roles), Ireland (2 roles).
Job postings at Workday most frequently reference: agent orchestration, llm observability, rag, model serving, tool use.
In the past 30 days, Workday has posted 24 new AI-related roles. That is a -41% change versus the prior 30 days (41 → 24).
| Title | Stage | AI score |
|---|---|---|
| Sr Product Manager, AI Services- Agent Platform Senior Product Manager for Workday's AI Services team, focusing on building reusable, platform-grade AI capabilities and agentic strategy. The role involves owning the end-to-end product lifecycle for AI/ML services, operationalizing growth for an internal platform, and leveraging AI tools for productivity. Key responsibilities include defining roadmaps, designing APIs, building growth engines, and partnering with engineering. | Agent | 8 |
| Sr Product Manager - Enterprise Solutions Product Manager for Enterprise AI solutions, focusing on Workday's internal 'Customer Zero' strategy. The role involves identifying internal business problems, architecting and delivering AI/ML-driven product solutions using Workday's technology stack, and providing feedback to core product teams. The goal is to transform internal operations into an AI-driven ecosystem and ensure products are battle-tested before external release. |
| 7 |
| 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 |
| 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 |