AI Product Manager

ABOUT THE ORGANISATION

Our client is the apex AI body of one of India's largest and most respected conglomerates, with a dual mandate: to drive enterprise AI deployment across a diverse portfolio of group businesses, and to build a frontier AI research lab with global ambitions.

The organisation is structured around three pillars a Group Nerve Center that acts as an advisory and build partner for internal businesses; a Product Studio that incubates B2B and B2C AI-led ventures and an Applied Research Vertical focused on translating research into deployable solutions across group and external markets. The long-term vision is to build a globally relevant AI institution anchored in deep research, applied engineering, and venture creation.

THE ROLE

We are looking for Product Manager who can operate with a demonstrated 0-to-1 instinct, strong cross-functional execution, and the intellectual range to work across the Product Studio and Nerve Center mandates. This is not a feature PM role. The right candidates will have shipped AI products with real users and measurable outcomes, and will be comfortable navigating ambiguity at the pace an early-stage institution demands.

KEY RESPONSIBILITIES

• Own the full product lifecycle from problem definition and roadmap to GTM, launch, and iteration — for AI-led products and features
• Translate research and engineering capabilities into user-facing products and measurable business outcomes
• Drive cross-functional alignment across engineering, design, data science, and GTM teams
• Define and track product metrics, experimentation frameworks, and success criteria for AI systems
• Engage directly with enterprise clients or end users to surface insights that sharpen the roadmap
• Contribute to the operating playbook for AI deployment across group businesses (Nerve Center mandate)
• Incubate and validate new AI-led ventures within the 12–18 month Product Studio framework

WHAT WE'RE LOOKING FOR

• 4–6 years of product management experience, with at least one clear 0-to-1 ownership story
• Demonstrated experience shipping AI, ML, or GenAI products in production — not just prototypes
• Comfort with technical depth: ability to engage credibly with engineers and researchers on architecture, latency trade-offs, model evaluation, or data pipelines
• Strong GTM instinct — understanding of pricing, positioning, and commercial validation
• Track record of working with cross-functional teams in fast-moving, ambiguous environments
• Hands-on experience with agentic AI, LLM pipelines, RAG systems, or MCP toolkits
• Founder or founding team experience — startups, internal ventures, or 0-to-1 product charters
• Experience building AI trust and safety frameworks: hallucination guardrails, confidence scoring, source attribution
• Ability to prototype rapidly using modern AI-assisted tools (Claude Code, Cursor, Figma MCP, Bolt, etc.)
• Prior exposure to enterprise AI deployment, platform products, or multi-sided marketplace dynamics