Workday
Senior Manager, Software Development Engineering, Agent Trust & Security
$175K–$314K
USA, CA, Pleasanton +1 · Flex · Manager · Full-time · Posted Oct 28, 2026
- Location
- USA, CA, Pleasanton
USA, CO, Boulder - Experience
- 10+ years of software engineering, including 5+ years leading and developing engineering teams; 3+ years of hands-on experience with security-critical systems.
- Education
- Bachelor's degree in Computer Science, Engineering, or related discipline; equivalent practical experience also considered.
About the job
Leads an engineering team building security foundations for Workday’s AI agent registry, including agent identity, access, verification, and secure use of AI code generation.
What you'll do
- Lead, hire, and develop software engineers while reviewing designs and code and setting engineering standards.
- Shape agent identification, authentication, authorization, identity credentials, and verification in partnership with Agent Passport and other teams.
- Set product direction and delivery plans, and make AI code generation central to development while measuring its impact.
What they ask for
- 10+ years of software engineering experience, including 5+ years leading and developing teams that shipped and operated production services.
- 3+ years of hands-on experience with security-critical systems such as authentication, authorization, identity, or security platforms.
- Strong, current hands-on use of AI code generation tools and experience leading a team that builds with them.
- Working knowledge of OAuth, workload and service identity, and access control models.
Nice to have
- Experience with signed credentials, attestation, or verifiable credentials; AI agent platforms or protocols such as MCP or A2A; or production LLM applications.
- Workday platform experience.
Pay
$209,600 USD - $314,400 USD (base salary); $174,800 USD - $314,400 USD (base salary); $184,000 - $276,000 USD (base salary, Colorado)
Tools
AI code generation tools, OAuth, MCP, A2A, LLM
AI focus
Leads engineering that builds an AI agent registry and makes AI code generation a central part of team development, measuring its effect on speed and quality.
Model-written summary · the original posting is authoritative