From UrX10, this session offers practical frameworks for building global early-talent programs that hold together across wildly different recruiting cycles, university systems, and cultural expectations without losing the local nuance that makes them work.

In this URx10 session, university recruiting leaders share how they’re making tough budget calls in a constrained environment—what they’ve cut, what they’ve kept, and how they’re aligning every dollar to measurable business outcomes.

Drawing on a peer-reviewed study of tech hiring managers, this panel from URx10 reveals the seven traits that consistently predict new-grad success in an AI-integrated workplace and the practical screening tools that surface them before a single interview is scheduled.

Grounded in workforce data and TA economics, this URx10 session makes the case for why interns and new grads are uniquely positioned to grow alongside AI-enabled workflows, and why leading organizations are expanding, not shrinking, their early-career pipelines.

From UrX10, this session explores how leading teams are rebalancing their approach by maintaining the strength of referrals while protecting space for diverse, high-potential talent from outside networks.

This session from URx10 explores how organizations outside the traditional tech sector are reframing their stories to attract early-career technical talent to some of the most complex, high-impact engineering challenges happening today.