





Mid-level product title, metro Bengaluru, and common 2–4 year band increase candidate density.
Product management skills transfer across industries but technical and AI-native requirements moderately limit fit.
Explicit 2–4 years plus required engineering background, SQL/code comfort, and AI-native expectation raise filters.
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Own specific product areas end-to-end including requirements, specs, sprint reviews, and launch.
Engage deeply with engineering teams by reviewing code, participating in technical design discussions, and identifying complexity early.
Define and track clear success metrics for product features post-launch; prioritize features ruthlessly to focus on highest impact.
2–4 years of product management experience, preferably in consumer tech with emphasis on speed, iteration, and data.
Bachelor's degree in Computer Science or prior engineering role enabling technical collaboration.
Daily practical use of AI tools to boost productivity and output (AI-native).
Work Experience Required: 2–4 years in product management.
Strong technical aptitude demonstrated by ability to read code, API documentation, and query data pipelines (e.g., SQL).
Experience shipping product features end-to-end with clear understanding of tradeoffs.
Structured thinker able to break down ambiguous problems and build clear execution paths.