Workday
Principal Product Manager, Enterprise Applications
$167K–$294K
USA, CA, Pleasanton · Flex · Principal · Full-time · Posted Oct 5, 2026
- Experience
- 12+ years in product management, program management, or related experience; 5+ years in each of product ownership, leading cross-functional initiatives, and Agile/Scrum methodologies.
- Education
- Bachelor’s degree in Computer Science, Business, Information Technology, or a related field; MBA or advanced degree is a plus.
About the job
Own the vision, strategy, roadmap, and outcomes for enterprise productivity and collaboration capabilities serving Workday employees globally.
What you'll do
- Set product strategy and roadmap, define success metrics, and prioritize investments based on business value, employee impact, risk, and feasibility.
- Lead cross-functional discovery and delivery, translating employee and business needs into product requirements and measurable outcomes.
- Identify and evaluate responsible AI and SaaS opportunities, balancing value with security, privacy, compliance, and architecture requirements.
What they ask for
- 12+ years of product management, program management, or related experience delivering enterprise applications or digital products.
- 5+ years owning product vision, strategy, roadmaps, backlog prioritization, and end-to-end delivery in a complex enterprise environment.
- 5+ years leading large, high-impact cross-functional initiatives involving multiple engineering teams, platforms, stakeholders, and dependencies.
- 5+ years working in Agile, Scrum, or similar product-development methodologies.
Nice to have
- Experience with employee-facing digital products and enterprise collaboration, productivity, or communications platforms.
- Product Management, Scrum, Agile, AI, or related certifications; MBA or advanced degree.
Pay
$196,000 USD - $294,000 USD (base salary); $167,200 USD - $294,000 USD (base salary)
Tools
AI, enterprise SaaS, agents, natural-language interfaces, automated insights, recommendations, AI-driven analytics, Scrum
AI focus
Identify and evaluate practical, responsible AI applications for employee workflows and experiences; assess AI-enabled SaaS capabilities for value, security, privacy, compliance, and architecture fit.
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