About the role

iimjobs (Info Edge India) is India's leading platform for senior management and high-CTC professionals. We're hiring a PM to own the job recommendation stack end-to-end from ranking logic and algorithm parameters through UI presentation and funnel conversion along with growth of our premium applicant segment.

What you'll own

• The recommendation system roadmap: collaborative filtering, search-history personalization, and hybrid blending — including explicit PM ownership of algorithm parameters (decay rates, scoring weights, suppression windows) rather than leaving them as engineering defaults

• Premium applicant growth: acquisition, reactivation (recently placed, ghosted, passive tenure-ripe segments), and lifecycle email strategy.

Conversion of logged-in non-appliers: diagnosing in-session behavior patterns and designing differentiated treatments

• Jobfeed and mobile UX optimization for discovery and application flows

• A phased multi-initiative roadmap spanning ranking, UI surfacing, funnel conversion, and feedback loops

What you'll be measured on

Application rate, apply-to-shortlist conversion,



and recruiter response rate — with counter-metrics treated as launch gates, not afterthoughts. Who you are

• 4–7 years in product management, ideally in marketplaces, recommendations, or consumer internet at scale

• Strong product-analytics fluency: comfortable with SQL, funnel analysis, cohort design, and holdout/A/B testing as a default practice

• Able to go deep on recommendation concepts (cooperative filtering, recency decay, cold-start handling, relevance evaluation like NDCG) without needing to be an ML engineer — and translate that depth into product decisions

• Opinionated about where product judgment ends and engineering implementation begins; you don't let defaults encode product decisions

• Crisp communicator who grounds every proposal in primary metrics plus guardrails

Nice to have

• Experience with two-sided job or talent marketplaces

• Exposure to email lifecycle marketing and deliverability

• Familiarity with ranking system evaluation and graded relevance framework

📌 Product Manager Recommendations & Growth iimjobs (Noida)
🏢 Info Edge
📍 Noida