About the Role
We are looking for an AI Product Manager who combines strong product management fundamentals with genuine hands-on technical expertise in building and deploying AI/ML systems, including Large Language Models (LLMs) etc. This is a hybrid role suited for someone who can move fluidly between writing PRDs and prototyping a model, between running sprint planning and reviewing training data quality. You''ll own the product vision, roadmap, and delivery for AI-driven features while staying technically credible with the engineering and data science teams you work alongside.
- Define and own the product vision, strategy, and roadmap for AI/ML-powered products and features.
- Translate business problems and customer needs into explicit product requirements, user stories, and acceptance criteria.
- Manage the end-to-end product lifecycle: discovery, prioritization, development, launch, and post-launch iteration.
- Run agile ceremonies (sprint planning, backlog grooming, retrospectives) and manage execution using Jira, Confluence, and similar tools.
- Balance and manage multiple concurrent product workstreams/portfolios, prioritizing across competing stakeholder demands.
- Define and track success metrics/KPIs (model performance, adoption, latency, cost-per-inference, business impact).
- Partner cross-functionally with engineering, data science, design, legal/compliance, and business stakeholders.
- Communicate roadmap, progress, and trade-offs clearly to leadership and stakeholders.
Hands-On Technical / AI-ML
- Directly contribute to prototyping, fine-tuning, evaluating, and iterating on LLMs and other ML models (e.g., prompt engineering, RAG pipelines, fine-tuning, embeddings).
- Collaborate closely with engineers/data scientists on data pipelines, model architecture trade-offs, and deployment strategy (MLOps).
- Evaluate build-vs-buy decisions for foundation models, vector databases, and AI infrastructure tooling.
- Stay current on the AI/LLM landscape (new mod
📌 Product Manager (Chennai)
🏢 Ford
📍 Chennai