AI Product Manager

About the role

What you'll do

• Identify business problems across teams (product, operations, compliance, customer
• support, etc.) that can be solved with AI or data platform capabilities.
• Own the roadmap for platform-level AI and data products, from problem framing through to
• a shipped, adopted solution.
• Evaluate and select the right approach for a given problem — including which AI frameworks,
• models, or LLM providers to use — in partnership with engineering.
• Work closely with the data engineering team on the underlying data pipelines, quality, and
• infrastructure that platform products depend on.
• Define success metrics for platform products and track adoption, accuracy, and business
• impact post-launch.
• Write clear product requirements and manage trade-offs between speed, cost, and reliability
• for AI-driven features.

What you'll bring

• 3–5 years of experience as a Product Manager, with prior exposure to AI/ML, data, or
• platform products preferred.
• Fintech background required.
• B.Tech, BCA, or MCA required; MBA is a plus.
• Track record of shipping products end-to-end — from problem discovery through launch and
• iteration.
• A I & Data Technical Skill s
• Good working understanding of AI frameworks and how they're applied to build products
• (e.g. RAG pipelines, agents, fine-tuning vs. prompting trade-offs).
• Familiarity with data science fundamentals — how models are evaluated, common pitfalls
• (bias, overfitting, data drift), and how to read model performance metrics.
• Experience working with multiple large language models (LLMs) across providers, and an