AdTechTalent
Product27 days agoOn-site

InMobi Advertising

Senior Product Manager — User Store & AI Intelligence Platform

product managementAImachine learningembeddingsdata pipelinesrecommendation systemsprivacyad techDSPuser intelligencedata sciencecross-functional leadership

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Bangalore, Karnataka, India

Full job description

InMobi Advertising seeks a Senior Product Manager for the User Store platform, responsible for defining long-term strategy and transforming raw user signals into AI-ready intelligence for advertisers. The role involves end-to-end ownership of a platform impacting group revenue, including strategy for data enrichment, embedding generation, adoption across products, and client representation. Candidates must have deep AI/ML knowledge, experience with embeddings, data pipelines, recommendation systems, and privacy-preserving architectures. Requires 5+ years of product management experience with strong leadership and communication skills. Location: Bangalore.

What you'll do

  • Define and own multi-year product strategy for Central User Intelligence Spine
  • Drive data enrichment and embedding generation roadmap from raw signals to ML-consumable intelligence
  • Drive adoption of User Store across internal products and external advertiser/publisher integrations
  • Manage strategic data partnerships and sourcing relationships to expand signal universe
  • Represent User Store capabilities in client-facing conversations with advertisers and DSPs
  • Own AI-native user studio product vision, roadmap, and go-to-market with stakeholders

Requirements

  • Deep familiarity with how AI and ML systems are built, including embeddings generation and consumption
  • End-to-end ownership with rigor and accountability
  • Impact-first prioritization and discipline to say no to non-impactful initiatives
  • Strong technical intuition, comfortable with technical discussions (engineering or data science background is a bonus)
  • Experience building or owning intelligence stores, data pipelines, or recommendation systems at scale (bonus)
  • Experience encoding user behavior into structured, learnable representations for ML systems
  • Background in CDP, user store systems, or large-scale data infrastructure products
  • Familiarity with privacy-preserving architectures such as clean rooms, differential privacy, or data governance
  • Experience with recommendation systems and translating user preferences into product decisions
  • Comfortable with hands-on data analysis and hypothesis testing
  • Prior experience in ad tech, DSP, or publisher ecosystems is a plus but not mandatory
  • 5+ years of product management experience with a track record of shipping complex, cross-functional products
  • Ability to translate ambiguous, long-term strategy into clear roadmaps with measurable milestones
  • Strong cross-functional leadership without direct authority
  • Executive-level communication skills for leadership reviews and client meetings

Tech stack

AImachine learningembeddingsvector spacesaffinity graphsadaptive learning systemsdata pipelinesrecommendation systemsprivacy-preserving architecturesclean roomsdifferential privacydata governance

Benefits

Opportunity to work on strategically significant product charter impacting group revenueEnd-to-end ownership from data strategy to ML interfaces to advertiser-facing productsHigh visibility with InMobi Group leadership and external partnersWork on frontier applied AI problems in mobile advertisingCulture of continuous learning and career progression through InMobi Live Your Potential programEqual Employment Opportunity employer with reasonable accommodations for qualified individuals

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