Sr Manager, Software Development Engineering - Agentic & Semantic System
About The Position
Being part of the Data Cloud organization at Workday, the team is building on the semantic platform to enable agentic access to Workday Data Cloud. The mission of the team is to accelerate agent development and provide a friction-less experience for agents to interact with federated data sources. In this pivotal role, you will spearhead the engineering efforts to bootstrap a unified platform that enables internal and external agents to interact seamlessly with the Workday Data Cloud through a robust semantic layer and MCP server framework. As a hands-on leader, you will be responsible for building and coaching a high-performing team of engineers, building and executing the product roadmap, and ensuring the delivery of mission-critical capabilities that meet rigorous functional and quality requirements on schedule. The ideal candidate thrives in high-growth environments, demonstrating the ability to move fast through ambiguity while fostering a culture of innovation to accelerate agent development and deliver frictionless data discovery and processing experiences.
Requirements
- 5+ years experience leading and developing software development engineering teams, including 2+ years managing other development managers.
- 10+ years experience in software development engineering, defining, implementing, and evolving development processes, tools, and strategies for high-quality software delivery.
- Expert in at least one of the following areas: 5+ years hands on experience delivering Machine Learning systems from experimentation, implementation, validation and monitoring.
- Machine Learning or Data Science, familiar with Agent frameworks and design patterns.
- MCP protocol and server technologies
- 5+ years hands on experience delivering Semantic engine or BI, familiar with Semantic Modeling, Knowledge Representations, and BI frameworks.
- Understanding of development lifecycles for projects utilizing programming languages and frameworks like Scala, Python, PyTorch, LangChain, etc.
- Strong understanding of Decision Making processes in managing complex engineering teams and strategic initiatives.
- Developing strong Influencing Skills to drive technical direction and organizational alignment.
- Solid understanding of People Management principles for leading large software development organizations and fostering a high-performance culture.
- Strong Understanding of Requirements and the ability to ensure alignment and execution across multiple teams.
Nice To Haves
- Master’s degree preferred or equivalent practical experience.
Responsibilities
- Spearhead the engineering efforts to bootstrap a unified platform that enables internal and external agents to interact seamlessly with the Workday Data Cloud through a robust semantic layer and MCP server framework.
- Build and coach a high-performing team of engineers.
- Build and execute the product roadmap.
- Ensure the delivery of mission-critical capabilities that meet rigorous functional and quality requirements on schedule.
- Navigate the evolving landscape of Agentic AI, fostering an environment where engineers can rapidly prototype, debug, ship and iterate on solutions.
- Work closely with cross-functional partners to establish "Data and Semantic Platform" as the critical system for developing agents.
Benefits
- Workday Bonus Plan or a role-specific commission/bonus
- Annual refresh stock grants
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What This Job Offers
Job Type
Full-time
Career Level
Manager
