InMobi - Senior Product Manager — User Store & AI Intelligence Platform

• We are looking for a rare profile: someone with the PM craft to drive strategy and adoption, the data intuition of a seasoned practitioner, and the AI fluency to have a genuine opinion on how embeddings are built and consumed — not just talk about them. • PM craft • data intuition • AI fluency • Non-Negotiables • Non-Negotiables • AI-native mindset — Deep familiarity with how AI and ML systems are actually built. You understand how embeddings are generated, what they represent, and how downstream systems consume them. This role will not be a good fit without this foundation. • AI-native mindset — • End-to-end ownership — You drive things to completion. You are rigorous, deeply accountable, and do not let initiatives stall between strategy and execution. • End-to-end ownership — • Impact-first prioritisation — You have a strong instinct for what moves the needle and the discipline to say no to everything else. • Impact-first prioritisation — • Engineer at heart — You think in systems, are comfortable reasoning about technical architecture, and can hold your own in deep engineering and data science discussions. Formal engineering work experience is mandatory, but the instinct and curiosity of a builder is. • [Bonus Points] Data platform experience — You have built or owned intelligence stores, data pipelines, or recommendation systems at scale. You think in terms of exposing intelligence, not raw data. • Strong Differentiators • Experience encoding user behaviour into structured, learnable representations for ML systems — embeddings, vector spaces, affinity graphs, or adaptive learning systems. • embeddings, vector spaces, affinity graphs, or adaptive learning systems • Background in CDP (Customer Data Platforms), user store systems, or large-scale data infrastructure products. • large-scale data infrastructure products • Familiarity with privacy-preserving architectures: clean rooms, differential privacy, or data governance in regulated environments. • clean rooms • Experience with recommendation systems — understanding what users like and dislike and translating that into product decisions. • recommendation systems • Comfortable with hands-on data deep-dives: able to look at data cuts quickly, visualise hypotheses, and challenge assumptions in technical discussions. • Prior experience in ad tech, DSP, or publisher ecosystems is a plus, though not a requirement — strong candidates from adjacent industries such as recommendation systems, data platforms, or consumer tech are encouraged to apply. • Core PM Fundamentals • 5+ years of product management experience with a track record of shipping complex, cross-functional products. • 5+ years of product management experience • Ability to translate ambiguous, long-horizon strategy into a clear roadmap with measurable milestones. • clear roadmap • Strong cross-functional leadership — able to align data science, engineering, and commercial teams without direct authority. • leadership • without direct authority • Executive-level communication: able to represent User Store in leadership reviews and client meetings independently. • leadership reviews and client meetings