Product Manager - AI

What You’ll Do

Lead and contribute to AI-Powered Product Strategy

• Define 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 Opportunities

• Partner 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 Products

• Define 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-End

• Drive roadmaps, lead cross-functional teams, launch MVPs, iterate based on real-world feedback, and scale solutions with measurable ROI.

What You Need to be Successful

• Influential 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 narrative
• Systems 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 Need

AI / ML Fundamentals

• Understanding of ML model types: Supervised, unsupervised, reinforcement learning
• Common algorithms: Linear/logistic regression, decision trees, clustering, neural networks
• Model lifecycle: Training, validation, testing, tuning, deployment, monitoring
• Understanding of LLMs, transformers, diffusion models, vector search, etc.
• Familiarity with GenAI product architecture: Retrieval-Augmented Generation (RAG), prompt tuning, fine-tuning
• Awareness of real-time personalization, recommendation systems, ranking algorithms, etc

Data Fluency

• Understanding Data pipelines
• Working knowledge of SQL and Python for analysis
• Understanding of data annotation, labeling, and versioning
• Ability to define data requirements and assess data readiness

AI Product Development

• Defining ML problem scope: Classification vs. regression vs. ranking vs. generation
• Model evaluation metrics: Precision, recall, etc.
• A/B testing & online experimentation for ML-driven experiences

ML Infrastructure Awareness

Know what it takes to make things work and happen.

• Model deployment techniques: Batch vs real-time inference, APIs, model serving
• Monitoring & drift detection: How to ensure models continue performing over time
• Familiarity with ML platforms/tools: TensorFlow, PyTorch, Hugging Face, Vertex AI, SageMaker, etc. (at a product level)
• Understanding latency, cost, and resource implications of ML choices

AI Ethics & Safety

We care deeply about our customers, their privacy and compliance to regulation.

• Understand Bias and fairness in models: How to detect and mitigate them
• Explainability & transparency: Importance for user trust and regulation
• Privacy & security: Understanding implications of sensitive or PII data in AI
• Alignment and guardrails in generative AI systems

Preferred Qualifications

• Experienced Machine Learning/Artificial Intelligence PMs
• Experience building 0-1 products, scaled platforms/ecosystem products, or ecommerce
• Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics
• Masters degree in Business

Why Airtel Digital?

• Massive Scale : Your products will impact 400M+ users across sectors
• Real-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 giant
• AI That Ships : We don’t just run experiments. We deploy models and measure real-world outcomes
• Leadership Access : Collaborate closely with CXOs and gain mentorship from India’s top product and tech leaders