Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)