Job Title

At Airtel , we’re not just scaling connectivity—we’re redefining how India experiences digital services. With 400M+ customers across telecom, financial services, and entertainment, our impact is massive. But behind every experience is an opportunity to make it smarter . We're looking for a Product Manager – AI to drive next-gen intelligence for our customers and business. AI is a transformational technology and we are looking or skilled product managers who will work on leveraging AI to power everything from our digital platforms to customer experience. You’ll work at the intersection of machine learning, product design, and systems thinking to deliver AI-driven products that create tangible business impact—fast.What You’ll DoLead and contribute to AI-Powered Product StrategyDefine product vision and strategy for AI-led initiatives that enhance productivity, automate decisions, and personalise user interactions across Airtel platforms.Translate Business Problems into AI OpportunitiesPartner with operations, engineering, and data science to surface high-leverage AI use cases across workforce management, customer experience, and process automation.Build & Scale ML-Driven ProductsDefine data product requirements, work closely with ML engineers to develop models, and integrate intelligent workflows that continuously learn and adapt.Own Product Execution End-to-EndDrive roadmaps, lead cross-functional teams, launch MVPs, iterate based on real-world feedback, and scale solutions with measurable ROI.What You Need to be SuccessfulInfluential Communication - Craft clarity from complexity. You can tailor messages for execs, engineers, and field teams alike—translating AI into business value.Strategic Prioritisation - Balance business urgency with technical feasibility. You can decide what not to build, and defend those decisions with data and a narrativeSystems Thinking - You can sees the big picture —how decisions in one area ripple across the business, tech stack, and user experience.High Ownership & Accountability - Operate with a founder mindset. You don't wait for direction — you can rally teams, removes blockers, deal with tough stakeholders and drives outcomes.Adaptability - You thrive in ambiguity and pivot quickly without losing sight of long-term vision—key in fast-moving digital organizations.Skills You'll NeedAI / ML FundamentalsUnderstanding of ML model types: Supervised, unsupervised, reinforcement learningCommon algorithms: Linear/logistic regression, decision trees, clustering, neural networksModel lifecycle: Training, validation, testing, tuning, deployment, monitoringUnderstanding of LLMs, transformers, diffusion models, vector search, etc.Familiarity with GenAI product architecture: Retrieval-Augmented Generation (RAG), prompt tuning, fine-tuningAwareness of real-time personalization, recommendation systems, ranking algorithms, etcData FluencyUnderstanding Data pipelinesWorking knowledge of SQL and Python for analysisUnderstanding of data annotation, labeling, and versioningAbility to define data requirements and assess data readinessAI Product DevelopmentDefining ML problem scope: Classification vs. regression vs. ranking vs. generationModel evaluation metrics: Precision, recall, etc.A/B testing & online experimentation for ML-driven experiencesML Infrastructure AwarenessKnow what it takes to make things work and happen.Model deployment techniques: Batch vs real-time inference, APIs, model servingMonitoring & drift detection: How to ensure models continue performing over timeFamiliarity with ML platforms/tools: TensorFlow, PyTorch, Hugging Face, Vertex AI, SageMaker, etc. (at a product level)Understanding latency, cost, and resource implications of ML choicesAI Ethics & SafetyWe care deeply about our customers, their privacy and compliance to regulation.Understand Bias and fairness in models: How to detect and mitigate themExplainability & transparency: Importance for user trust and regulationPrivacy & security: Understanding implications of sensitive or PII data in AIAlignment and guardrails in generative AI systemsPreferred QualificationsExperienced Machine Learning/Artificial Intelligence PMsExperience building 0-1 products, scaled platforms/ecosystem products, or ecommerceBachelor's degree in Computer Science, Engineering, Information Systems, Analytics, MathematicsMasters degree in BusinessWhy Airtel Digital?Massive Scale : Your products will impact 400M+ users across sectorsReal-World Relevance : Solve meaningful problems for our customers — protecting our customers, spam & fraud prevention, personalised experiences, connecting homes.Agility Meets Ambition : Work like a startup with the resources of a telecom giantAI That Ships : We don’t just run experiments. We deploy models and measure real-world outcomesLeadership Access : Collaborate closely with CXOs and gain mentorship from India’s top product and tech leaders