Format Resumes for Cornerstone OnDemand ATS Clients

When you submit candidates to clients using Cornerstone OnDemand, their system uses automated resume parsing that analyzes resumes and applicant data based on user-selected preferences. This AI-driven approach means your submissions must be perfectly structured for machine reading. The platform's skills-based talent management features rely on clean data extraction, so formatting errors can prevent your candidates from being properly categorized or matched to opportunities. Understanding this automated workflow helps you prepare submissions that integrate seamlessly with your clients' talent acquisition processes.

While specific file format requirements aren't publicly documented, enterprise clients using Cornerstone OnDemand typically prefer clean, single-column layouts that support automated parsing. Since the platform serves mid-market and enterprise customers with sophisticated talent management needs, your submissions should prioritize machine readability over creative design. Check with each client about their specific format preferences, as enterprise implementations often include customized parsing rules. Consistent formatting across your candidate pool helps clients leverage Cornerstone OnDemand's workforce analytics and internal talent mobility features.

Enterprise clients using Cornerstone OnDemand rely heavily on automated resume parsing and AI-driven talent acquisition features. Submissions fail when formatting interferes with data extraction needed for skills-based talent management and workforce analytics. Complex layouts, unusual fonts, or embedded graphics can prevent the system from properly categorizing candidates for internal talent mobility programs. Since your clients invested in Cornerstone OnDemand for its comprehensive talent experience platform, they expect submissions that fully utilize these advanced features rather than creating parsing obstacles.