AI Product Manager

Responsibilities:
Own the Agent for Research Workflows end-to-end.
Define vision, strategy, and roadmap for an AI agent that assists researchers.
Build a modular, extensible agent platform that works across multiple research domains and user segments.
Lead cross-functional execution across engineering, NLP, design, growth, and data teams to deliver an agent-first research experience.
Do prompt engineering and evals for agentic systems.
Translate ambiguous user problems into structured product requirements and intelligent system behaviours.
Continuously refine the agent through user insights, experimentation, and iterative learning loops.
Work closely with software development teams on defining, designing and delivering high-quality products; provide feedback on architecture, design, and priorities.
Requirements:
3 - 6 years of relevant work experience in software development in technical leadership, product management or similar roles.
Must possess a strong understanding of LLMs, agentic systems, orchestration, and modern AI architectures.
Have experience with prompt engineering, fine-tuning, and AI evaluation techniques.
Experience leading product design through the entire lifecycle, from concept and wireframes to MVP and final release.
Hands-on experience with LLM-based agent frameworks (LangChain, LangGraph, or equivalent).
Be comfortable defining and optimising system-level metrics such as accuracy, completion rate, latency, and user trust.
Experience working with engineering teams to define, scope, and prioritise product requirements.
Experience leading cross-functional teams to deliver products and projects on tight deadlines.
Strong problem-solving skills and willingness to roll up one's sleeves to get the job done.
Communicate clearly and persuasively, with the ability to drive alignment and decision-making at multiple levels.
MS/BS degree in Computer Science, Engineering or equivalent preferred and/or with MBA/PGDM.

Experience
3-6 yrs