Karat

To assess engineering skills in financial services, organizations should define the competencies needed for each role, develop interview content that measures both foundational engineering and AI skills, evaluate candidates in realistic environments, and

Canadian banks should evaluate AI-ready contract engineers across four areas: engineering fundamentals, AI fluency, responsible AI judgment, and role-specific AI engineering skills. The strongest candidates can use AI productively, validate its output, pr

In every issue of The Talent Signal newsletter, Karat Co-Founder and President Jeffrey Spector explores the trends reshaping technical hiring. From changing skill requirements to new hiring challenges, the series helps engineering leaders understand how t

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AI has impacted technical assessment formats in different ways. Code tests and take-home assessments now provide less reliable hiring signals. Because candidates can use AI to generate complete solutions, these asynchronous and output-based assessments of

Not long ago, hiring software engineers was largely about evaluating whether someone could write quality code on their own. Today, that assumption no longer reflects how engineering work actually gets done. Generative AI has become part of the modern soft

Financial services engineering leaders are tasked with modernizing legacy systems, shipping new digital products, and navigating an AI revolution - all while competing with big tech and fast-growing startups for increasingly scarce engineering talent. To

Google: What are Karat interview questions? Chances are, if you've taken a Karat interview, you've run a search like the example above. In fact, most candidates interviewing at any company will have scoured Leetcode, Reddit, Blind, Glassdoor, and other si

Money20/20 Europe 2026 made one thing clear. AI adoption is not slowing down, but trust is still catching up. The industry is not debating whether AI is useful anymore. It is grappling with how far it should be trusted, especially when money, regulation,

CTOs, CIOs, and VPs of Engineering are under pressure. They're being asked to scale AI-ready teams faster, modernize aging infrastructure, and do both with tighter budgets. Where you hire is now an important strategy, rather than just a recruiting decisio