Insights
What evaluators actually look for. Why strong applicants get rejected. How to build a case that lands. By Amit Tyagi.
Open source is one of the cleanest evidence types available — verifiable, quantifiable, and independently credible. But not all contributions are equal, and most engineers present this evidence badly.
PMs face a specific challenge: their contribution is inherently collaborative and often invisible in the final product. Here is how to make your specific impact legible to an assessor.
Working in AI is not itself a qualification. But the right AI/ML background — research contributions, deployed systems at scale, novel applications — produces some of the strongest Global Talent cases.
The 'high value product' optional criterion is one of the most powerful for founders and lead engineers — but scale alone isn't enough. Here is what makes a product an evidence anchor.
CTOs sit at the intersection of technical leadership and business outcomes. Their applications require a specific evidence architecture that captures both — here is how to structure it.
Security work has specific evidence patterns that differ from other engineering disciplines. Here is how cybersecurity professionals build and present credible Global Talent cases.
Data engineering is foundational to modern digital products — but the Global Talent evidence for data engineers requires careful framing. Here is how to make your infrastructure contribution legible.
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