Senior Product Manager 2

We are looking for a Senior Product Manager 2 who sits between senior IC ownership and group-level leadership. You bring deep AI product experience, have led complex multi-stakeholder initiatives, and are ready to start influencing product strategy beyond your immediate squad. You will own critical Agentic AI product areas end-to-end while beginning to mentor and shape the broader PM team.

Responsibilities:

• Own and drive the end-to-end roadmap for one or more Agentic AI product areas.
• Lead discovery, definition, and delivery of enterprise-grade AI features at scale.
• Work closely with AI architects and senior engineers on RAG pipelines, multi-agent frameworks, LLM evaluation, and AI governance.
• Define and own OKRs, success metrics, and evaluation frameworks for AI products.
• Drive alignment across multiple stakeholder groups: engineering, business, legal, design, and data teams.
• Write detailed PRDs with architecture context, data flows, and edge case handling.
• Conduct competitive analysis and translate market insights into product strategy.
• Begin influencing cross-squad product decisions and contributing to org-level roadmap discussions.
• Mentor junior and mid-level PMs within the team.
• Represent the product function in senior leadership and executive discussions.

Requirements:

• 8-10 years of product management experience with at least 3 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 Agentic AI, LLMs, RAG architectures, multi-agent systems, and AI evaluation.
• Proven ability to own complex AI products end-to-end in production at scale.
• Strong experience with OKRs, roadmapping, and managing 3-5 stakeholder groups simultaneously.
• Demonstrated ability to influence without authority across cross-functional teams.
• Excellent written and verbal communication, including exec-ready presentations.

Good to Have:

• Hands-on experience with LangChain, LangGraph, LlamaIndex, or similar agent frameworks.
• Experience with LLM evaluation tools, Ragas, LangSmith, or similar.
• Exposure to vector databases, Pinecone, Weaviate, or pgvector.
• Familiarity with responsible AI, compliance, and AI safety frameworks.
• Experience working on global-scale AI products across multiple geographies.