Blinkit's Replenishment Team Product Manager Recruitment

Hackerrank’s interview process typically starts with a timed online assessment covering MCQs, a Python data‑analysis task, and an SQL query challenge. Successful candidates move to a technical interview where they solve a product case, discuss metric design, and demonstrate data‑driven decision making. The final HR round focuses on cultural fit, career aspirations, and compensation. Preparation should include practicing cohort analysis, A/B test validity, and brushing up on Python pandas operations.

Round 1: Online assessment (30 MCQs, Python task, SQL task) → Round 2: Technical interview (product case study, data analysis discussion) → Round 3: HR interview (culture fit, compensation discussion)

Hackerrank promotes a collaborative, remote‑first environment where learning is encouraged and employees have access to a wealth of internal resources. The company values work‑life balance, offering flexible hours and a results‑oriented culture that rewards innovation and impact.

Graduates with a B.Tech/B.E./B.Sc./M.Sc. in Computer Science, Engineering, Mathematics, Statistics or related fields. Minimum 60% aggregate (or CGPA 6.0/10). Final year students of 2024, 2025 or 2026 batches are eligible. No active backlogs at the time of application. Strong analytical mindset and proficiency in Python and SQL are mandatory.

Hackerrank is a global leader in technical hiring, providing a robust platform for coding assessments, interview preparation, and skill certification. Founded in 2012, the company has helped thousands of enterprises streamline their recruitment pipelines by offering real‑world coding challenges and data‑driven insights. With offices across the United States, Europe, and a strong remote workforce in India, Hackerrank fosters a culture of continuous learning, meritocracy, and innovation. Employees enjoy exposure to cutting‑edge technologies, cross‑functional collaboration, and the opportunity to impact hiring practices for some of the world’s most renowned tech firms. The Replenishment Team at Blinkit (a fast‑growing grocery delivery startup) is looking for a Product Manager who can blend analytical rigor with product intuition to drive inventory efficiency and customer satisfaction. This role is hosted on Hackerrank’s assessment platform, meaning the selected candidate will work closely with both Blinkit’s product org and Hackerrank’s data science team to design, test, and ship data‑centric features. Key responsibilities include: 1. Define and prioritize product roadmap for inventory replenishment based on data insights and business impact. 2. Design and monitor core metrics (stock‑out rate, fill‑rate, turnover) and build dashboards for real‑time visibility. 3. Conduct cohort analysis, funnel diagnostics, and A/B test design to validate feature hypotheses. 4. Translate business problems into SQL queries and Python‑pandas pipelines for rapid experimentation. 5. Collaborate with engineering, design, and operations to deliver end‑to‑end solutions. 6. Communicate findings and recommendations to senior leadership through clear visualizations and storytelling. 7. Own the end‑to‑end product lifecycle from discovery to launch and post‑launch iteration. 8. Mentor junior analysts and contribute to the knowledge base of best practices. 9. Stay updated on industry trends in supply‑chain automation and apply relevant learnings. 10. Ensure compliance with data privacy and security standards. The tech stack revolves around Python (pandas, NumPy), SQL (DuckDB, PostgreSQL), and product analytics tools. Familiarity with RICE or other prioritisation frameworks, basic probability, and statistical reasoning is essential. Growth path includes progression to Senior Product Manager, Product Lead, and eventually Head of Product for the supply‑chain domain. Joining this role offers a unique blend of high‑impact product work, exposure to large‑scale data pipelines, and the chance to shape the future of on‑demand grocery logistics while being part of Hackerrank’s vibrant, remote‑first culture.