Senior Product Manager
Description
We are looking for a Senior Product Manager with deep experience in AI or analytics products who can independently own complex product areas, drive cross-functional alignment, and lead the development of production-grade Agentic AI systems. You will be a key voice in shaping the AI product strategy and roadmap.
Responsibilities:
- Own end-to-end product strategy and roadmap for Agentic AI platforms.
- Lead discovery, definition, and delivery of complex AI-powered features.
- Work with AI architects and engineers on RAG pipelines, multi-agent frameworks, and LLM integration.
- Define and track evaluation metrics, accuracy, hallucination rates, latency, and user satisfaction.
- Drive alignment across 3-5 stakeholder groups, including business, engineering, legal, and design.
- Write detailed PRDs with HLD context, data flows, and edge case handling.
- Define OKRs at the squad level with measurable key results.
- Mentor junior PMs and contribute to PM practice building.
- Conduct competitive analysis and stay current on Agentic AI trends.
Requirements:
- 6-8 years of product management experience with at least 2 years on AI/ML or analytics products.
- Background from analytics companies Mu Sigma, EXL, Fractal, Tiger Analytics, Tredence, LatentView, Quantiphi, TheMathCompany, AbsolutData, Sigmoid, Dunnhumby, ZS Associates, or Axtria.
- Deep understanding of LLMs, RAG architectures, agent frameworks, and AI evaluation.
- Strong experience with OKRs, roadmapping, and stakeholder management.
- Proven ability to ship AI features end-to-end in production.
- Excellent written and verbal communication skills.
Good to Have:
- Hands-on experience with LangChain, LangGraph, LlamaIndex, or CrewAI.
- Experience with prompt engineering and LLM evaluation tools like Ragas or LangSmith.
- Exposure to vector databases, Pinecone, Weaviate, or pgvector.
- Experience working with compliance and responsible AI frameworks.