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.