Drimva

Airbnb

Staff Workday Integration Engineer, Tech Foundations

$180K–$225K

United States · Staff · Full-time · Posted Sep 15, 2026

Experience
9+ years in enterprise technology, software development, or systems integration; at least 5–6 years of hands-on Workday integration development.
Education
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).

About the job

Leads the architecture, development, and reliability of Workday integrations and AI-enabled tools that support Airbnb’s global HR, payroll, and benefits operations.

What you'll do

  • Set Workday integration architecture standards and lead complex integrations, platform strategy, and technical governance.
  • Build and maintain Workday integrations and own the engineering of the Workday MCP server and agentic HR tools.
  • Oversee production reliability, security, compliance, release management, and technical mentoring across the integration portfolio.

What they ask for

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
  • 9+ years in enterprise technology, software development, or systems integration, including at least 5–6 years of hands-on Workday integration development across the full lifecycle.
  • Hands-on proficiency with Workday Studio, Core Connectors, EIBs, PECI/PICOF, RaaS, Workday Web Services, XSLT, XML, and JSON.
  • Experience building or integrating LLM-based tools, AI agents, or MCP servers with enterprise systems, including permission-safe access and human-in-the-loop controls.

Nice to have

  • Workday Pro Certification in Integrations or Extend; hands-on Workday Extend or Orchestrate experience.
  • Proficiency in TypeScript/Node and Python; experience shipping enterprise LLM plugins or agents.

Pay

$180,000 — $225,000 USD base salary

Tools

Workday Studio, Core Connectors, EIBs, PECI, PICOF, RaaS, Workday Web Services (WWS), OAuth 2.0

AI focus

Owns the Workday MCP server and agentic integrations; builds permission-safe AI tools, co-owns AI architecture and governance, and evaluates Workday-native and enterprise AI capabilities.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)