AdTechTalent
Product15 days agoOn-site

InMobi Advertising

Product Manager - Central Data Repository for People Analytics & AI/Automation

product managementAImachine learningMLOpsNLPLLMsRAGdata strategymodel evaluationethical AIGDPREU AI Actenterprise systemsdata platformsAI prototypingproduct lifecyclestakeholder management

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Bengaluru, India

Full job description

InMobi Advertising is seeking a Senior AI Product Manager for the Central Data Repository (CDR) Product Team based in Bangalore. The role involves owning business strategy, defining functional requirements, and managing product development cycles for enterprise systems and internal products. The candidate will work on AI product lifecycle management including data collection, model training, validation, deployment, and monitoring. Responsibilities include designing AI systems for user intent interpretation, ensuring ethical AI governance and compliance with regulations such as GDPR and EU AI Act, and acting as a translator between technical and non-technical stakeholders. The role requires 7+ years overall experience, 6+ years in product management with hands-on AI product experience, strong communication skills, and ability to work in a fast-paced, ambiguous environment. The candidate should have foundational ML literacy, familiarity with modern AI architectures including LLMs and RAG, and skills in AI prototyping using low-code/no-code tools. The position is full-time and located in Bangalore, India.

What you'll do

  • Own business strategy behind the product by building subject matter expertise
  • Define functional requirements aligned to various user personas through PRDs
  • Drive launch of product features by managing development cycle with engineering teams
  • Work across enterprise systems and internal products building end-to-end features and capabilities
  • Understand business operations across lead generation, sales & CRM, order fulfillment, reporting & finance
  • Identify product modifications, enhancements, and system integrations for interconnected ecosystem
  • Manage AI product lifecycle including data collection, model training, validation, deployment, and monitoring
  • Design AI systems for interpreting user intent by managing retrieval logic and memory layers
  • Prioritize fairness, transparency, accountability, and compliance with regulations like GDPR and EU AI Act
  • Act as translator between data science, engineering, and non-technical stakeholders
  • Transition from deterministic feature roadmaps to adaptive learning loops prioritizing product-market fit
  • Proactively identify technical failures, security vulnerabilities, and ethical pitfalls in AI deployment

Requirements

  • 7+ years overall experience with a ‘make it happen’ attitude
  • 6+ years in Product Management with hands-on AI experience in building products
  • Ability to write outstanding AI Product Requirements Documents, User Journeys, Wireframing, and Product analysis
  • Ability to build product design from scratch and work closely with engineering teams to implement, test, iterate and launch
  • Understanding and empathy for business user behavior, needs, and challenges with ability to consolidate with data-driven solutions and automations
  • Excellent communication skills to set clear stakeholder expectations and manage cross-functional dependencies
  • Ability to work well with geographically dispersed and culturally diverse teams
  • Ability to thrive in a chaotic environment and perform without detailed guidance
  • Strong bias for logical decision-making with facts and actions
  • Ability to formulate clear point-of-view on ambiguous problems, drive stakeholder alignment, and execute
  • Ability to prioritize, multi-task, and meet set expectations

Tech stack

Machine LearningSupervised LearningUnsupervised LearningReinforcement LearningNeural NetworksNatural Language Processing (NLP)MLOpsLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Agentic WorkflowsMultimodal SystemsLow-code/No-code AI Prototyping Tools (v0.dev, Lovable, Gradio)Data PipelinesData AnnotationData StorageProbabilistic Metrics (Precision, Recall, F1-score, ROC-AUC)

Benefits

Opportunity to have immediate impact with company and productsWork at the cutting edge of technologyWork on mission critical projects for core product offeringsGlobal footprint and exposureCulture of thinking big, being passionate, showing accountability, and taking ownershipContinuous learning and career progression through InMobi Live Your Potential programEqual Employment Opportunity employer with reasonable accommodations for qualified individuals with disabilities

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