Senior Product Manager

About the role

HackerRank is seeking a Senior Product Manager to own the critical Evaluation product line as the company transitions into an era where humans and AI build side by side. You will define the roadmap for how evaluation capabilities evolve over the next 12 to 18 months, ensuring the product remains defensible and trustworthy for enterprise customers. This role requires deep rigor in defining what "good evaluation" means, including rubrics, scoring dimensions, and bias safeguards that clients rely on for high-stakes hiring decisions. You will act as the connective tissue between ML researchers and engineers, translating novel evaluation methodologies into shipped product features that scale. The position demands regular engagement with enterprise clients to align the product with vastly different definitions of quality across industries. You will build and own the feedback loops that allow the evaluation system to learn from customer disagreement and model behavior. Success in this role will be measured by improvements in evaluation quality, not just feature output.

Key facts

What you'll do

Define the strategic evaluation product vision and translate it into a clear roadmap that guides development over the next 12 to 18 months.

Articulate precise product definitions for evaluation quality, establishing rubrics, scoring dimensions, and bias safeguards that underpin enterprise trust.

Collaborate closely with ML engineers and AI researchers to ensure evaluation methodologies are translated into technically feasible and scalable product solutions.

Conduct deep interviews with enterprise customers to understand divergent hiring standards, ensuring the product serves both large enterprises and emerging companies.

Design and implement feedback mechanisms that capture customer disputes, surface model signals, and drive iterative improvements to evaluation accuracy.

Establish and own key metrics that genuinely reflect improvements in evaluation quality, avoiding vanity metrics that do not correlate with real outcomes.

Partner with leadership to position evaluation as a core differentiator in HackerRank's value proposition to the market.

Champion the assessment of subjective and qualitative dimensions within technical evaluation frameworks.

Maintain a sharp distinction between correlation and causation in product metrics to ensure decisions are based on robust evidence.

Champion the development of fair and defensible evaluation processes that withstand scrutiny from regulated industries.

Translate complex model behavior and data feedback loops into clear product requirements and success criteria.

Continuously benchmark the product against emerging standards in AI evaluation and talent assessment.

Requirements

You bring 5 or more years of product management experience, with significant exposure to B2B or enterprise environments where decisions must be defensible.

You possess the intellectual rigor to distinguish between metrics that measure process and metrics that measure true outcomes.

You thrive in ambiguity, actively seeking the answer to what constitutes effective evaluation rather than waiting for predefined solutions.

You can engage in technical discussions with ML engineers without writing code, understanding concepts like model behavior and evaluation pipelines.

You communicate with precision and clarity, crafting crisp PRDs and engaging in sharp debate during design reviews.

You refuse to rely on vague language when addressing complex problems that impact high-stakes customer decisions.

You have a track record of building products centered around subjective or qualitative evaluation, such as in assessment or ed-tech domains.

You demonstrate comfort with fairness, bias, and compliance considerations throughout the product lifecycle.

Nice to have

Prior experience in talent technology, assessment platforms, or other domains centered on evaluating human performance.

Exposure to building or working alongside ML-powered scoring, ranking, or classification systems.

A history of defining new product categories rather than optimizing established ones.

Experience navigating compliance and regulatory expectations in sensitive enterprise workflows.

Practical notes

This role is based in a hybrid work model centered in Bangalore, India. Travel requirements and specific engagement terms are not detailed in the available source information. No compensation details are provided in the source material. The position is open to candidates who can start as soon as business needs dictate, based on internal approval processes.