HackerRank

Technology

SeniorProductManager

₹25–45L ~AI est. Bengaluru, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Product Manager at HackerRank”

Industry & Context.

Technology
Full Job Description

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role HackerRank's goal is straightforward: to give companies a dependable way to evaluate whether a candidate can do the job. The previous model, which relied on test cases and code correctness, is becoming less reliable as candidates use AI assistants and produce work that requires deeper scrutiny. The Evaluation team is rebuilding the underlying scoring system. This involves defining the new evaluation rubrics, determining how our models apply them consistently across thousands of candidates, working with enterprise clients to define good performance, and ensuring our methodology is fair and defensible. Evaluation's trustworthiness is fundamental to HackerRank's business and its products. We are looking to hire a Senior Product Manager to own this crucial charter. What you will do Own the evaluation product roadmap: what gets built, in what order, and why, with a clear point of view on what the product needs to become over the next 12 to 18 months. Define what "good evaluation" means in product terms: the rubrics, scoring dimensions, bias safeguards, and consistency checks that enterprise customers will stake hiring decisions on. Work directly with ML engineers and AI researchers to translate methodology into

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