Intersectional identities—such as a combination of race, gender, disability, and socioeconomic background—shape candidates' experiences differently in tech recruitment. For example, a Black woman may face both racial and gender biases simultaneously, affecting interview outcomes, networking opportunities, and access to mentorship compared to peers with singular or less marginalized identities.
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