For years, talent decisions have relied on signals: résumés, profiles, interviews, references. They were imperfect, but the stakes were lower, and that has changed. Today, delivery teams are expected to stand behind outcomes. Talent buyers are expected to justify assignments. Executives are expected to defend decisions when projects miss. And yet, the underlying artifacts haven’t evolved. The pressure cooker we’re in Two groups are feeling this pressure simultaneously and oft

For a long time, placing people onto projects has operated on trust and tradition. Resumes. Keywords. Years of experience. Familiar vendor names. And for a while, that was enough. But something is changing. Companies are starting to ask a question that used to be considered impolite: Why does this assignment actually work? Not who  the person is. Not where  they worked. But why , specifically, they are a good fit for this  project. If you can’t answer that with evidence, som

Enterprise skills platforms promise clarity. Most deliver theater. Take Workday Skills Cloud  and similar offerings. The claim is bold: “We give organizations a real-time view of skills.” The reality is quieter: They give you tags . And tags are not skills. Why keyword-based skills platforms fail (at scale) Most enterprise systems infer skills from: Job titles Self-reported profiles Resume keywords Course completions This creates a comforting illusion of coverage — but not c

There’s a moment every engineering leader recognizes. A roadmap slips. A system touches unfamiliar territory. A new requirement surfaces that feels  risky. Someone says: “We might need to hire for this.” That instinct isn’t wrong. But it’s often premature . Before you look outside your organization, there’s a more important question to answer: Do you actually know what your team can do? Not titles. Not resumes. Not what people were hired as . What they’ve actually done — in r

Most engineering organizations claim to be data-driven. They monitor uptime, trace requests, track deployments, measure throughput. But when it comes to the most important system in the company — the people building the software — they rely on labels. “React developer.” “Backend engineer.” “Senior.” These labels feel familiar. They’re easy to store, easy to filter, easy to explain. They’re also dangerously incomplete. Labels Describe the Past. Infrastructure Enables the Futur

— Not Because of Capability, but Because Matching Is Broken I spent three years managing distributed engineering teams across Ecuador, coordinating developers for U.S. and European clients. The engineers I worked with were solving hard problems: building scalable APIs, architecting microservices, debugging production incidents at 2 a.m. The work was world-class. So why are engineers from LATAM still underrepresented on U.S. engineering teams? Not because they can’t do the job