About
I am an AI Product Manager with 8+ years of experience building AI-native B2B and enterprise SaaS products, from 0 to 1 through scale. My work sits at the intersection of generative AI, agentic AI systems, and enterprise platform strategy. I have turned complex & cost effective AI capabilities into products that solve user problems and multiplies ROI. --> Expertise: I have led end-to-end product management across the full product lifecycle, discovery, strategy, roadmapping, development, and go-to-market execution. I have worked with cross-functional teams including engineering, data science, ML, design, and business stakeholders to: - Define product vision and set OKRs tied to real business outcomes - Write detailed PRDs and product specs that align every team around a shared definition of success - Lead product discovery using JTBD, opportunity scoring, and user research to find real customer pain - Build and manage product roadmaps that balance short-term delivery with long-term platform thinking - Execute GTM strategy for enterprise AI products where the buyer is not always the user. --> AI fluency: - LLM selection and evaluation - Choosing the right model based on capability, latency, cost, and context window. - RAG decision-making - Knowing when retrieval-augmented generation is the right design and when fine-tuning or prompt engineering is a better fit. - Agentic AI and multi-step workflows- Designing agents that reason across tool calls, API integrations, and memory without hallucinating at critical decision points. - MCP connectors and orchestration - Building AI workflows that route tasks intelligently across systems. - Prompt engineering - Treating it as a core product design input. - Token and context window optimization - Managing inference costs at scale while maintaining output quality. - AI evals and quality metrics - Defining what good output looks like before you ship and building evaluation frameworks that catch regression before it reaches users. - GenAI vs Agentic AI strategy - Knowing when to deploy a generative model and when to deploy an autonomous agent, because these are not the same product decision. - Conversational AI, Agents Orchestration, AI cost optimization. --> Core PM Skill: Product Strategy, Product Roadmap, Product Discovery, Product Lifecycle Management, Go-to-Market Strategy, PRD, User Research, Stakeholder Management, Cross-functional Leadership, Agile, Scrum, A/B Testing, OKRs, KPIs, Prioritization, Product Analytics, Data-Driven Decision Making, UAT, Wireframing, AI Product Management.
Work experience
AI Product Manager | Agentic AI/Generative AI Enterprise-grade SaaS Products at ProductNOVA, Feb 2026 - Present · 7 mos, Bengaluru, Karnataka, India
Product Manager | GenAI & Data Platforms | Customer Experience at Amazon, May 2024 - Jan 2026 · 1 yr 9 mos, Remote
Product Manager | Data Platforms & Automation | Warehouse Tech at Amazon, Jul 2020 - Apr 2024 · 3 yrs 10 mos, Hyderabad, Telangana, India
People Manager | LLM Fine-Tuning | Warehouse Tech at Amazon, Feb 2019 - Jun 2020 · 1 yr 5 mos, Hyderabad, Telangana, India
Education
Master of Business Administration - MBA, International Marketing & Trade, Indian Institute of Foreign Trade
Bachelor of Technology - BTech, Mechanical Engineering, Baddi University of Emerging Sciences and Technology, Budha (Makhnumajra), Solan
