Senior Product Manager
HackerRank
Hybrid in Bangalore, IndiahybridPosted 2 months ago
Skill Required
ProductProduct ManagerSassMachine Learning
Key highlights
- 5+ years of product management experience in B2B/enterprise
- Own evaluation product roadmap for the next 12‑18 months
- Work directly with ML engineers and AI researchers without needing to code
- Define rubrics, bias safeguards, and consistency checks for enterprise hiring decisions
- HackerRank is an equal opportunity and affirmative action employer
- Role focuses on rebuilding scoring system to ensure fairness and defensibility
Role overview
The Senior Product Manager will lead the Evaluation team’s effort to rebuild HackerRank’s scoring system, defining rubrics, bias safeguards, and consistency checks while establishing feedback loops and quality metrics. This role owns the product roadmap for the next 12‑18 months, works closely with ML engineers, AI researchers, and enterprise customers, and ensures the methodology is fair, defensible, and aligned with client hiring decisions.
Responsibilities
- 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 shipped product. You are the connective tissue between research clarity and engineering execution.
- Talk to enterprise customers regularly. Understand how Goldman Sachs defines a strong candidate differently from how a startup does, and make sure the product can serve both.
- Build the feedback loops that let the evaluation system improve: how we capture when customers disagree with a score, what signals we surface to the ML team, and how we close the loop.
- Define and own the metrics that tell us whether evaluation quality is actually improving, not just whether we shipped something.
Requirements
- You have 5 or more years of product experience, with meaningful time in a B2B or enterprise context where your work had to be defensible to sophisticated customers.
- You think rigorously about if the measures actually map to the outcomes. A PM who cannot tell the difference between a good metric and a vanity metric will not survive this role.
- You are comfortable with ambiguity in the problem definition. The answer to "what does good evaluation look like" does not exist yet. You need to want to find it, not wait for someone to hand it to you.
- You can hold your own in a technical conversation with ML engineers without needing to code. You understand enough about model behavior, evaluation pipelines, and data feedback loops to ask sharp questions.
- You communicate with precision. Crisp PRDs, sharp debate in design reviews, clear framing to customers and leadership. You do not hide behind vague language when the problem is hard.
Nice to have
- Prior experience in assessment, ed-tech, talent tech, or any domain where you had to build products around subjective or qualitative evaluation.
- Exposure to fairness, bias, or compliance considerations in a product context.
- Experience building or working closely with ML-powered scoring or ranking systems.
- Track record of defining new product categories rather than iterating on established ones.
Benefits
- HackerRank is a proud equal employment opportunity and affirmative action employer.
- We provide equal opportunity to everyone for employment based on individual performance and qualification.
- All your information will be kept confidential according to EEO guidelines.
Additional details
- 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.
- 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.
- Evaluation's trustworthiness is fundamental to HackerRank's business and its products.
- You will thrive if you believe the evaluation problem is one of the most interesting unsolved problems in enterprise software right now.
- You want to own a roadmap that is genuinely consequential, not increment on features that already exist.
- Are the kind of PM who would rather have a sharp conversation about what we should not build than ship something that does not hold up.
- You are not scared of technical depth. You lean into it.
- Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
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