AI - Product Manager

Role Overview
Lending, commerce, and advisory for millions of farmers, and you get to put AI at the center of it. As DeHaat's AI Product Manager, you'll own AI-powered features end-to-end across our B2B and B2C platforms, from farmer-facing assistants to the workflows that run our retail and lending business. You'll write the specs, build shoulder-to-shoulder with engineering using Claude, sit across the table from farmers and retailers to learn what actually matters, and let data, not opinions, decide what ships next.

Key Responsibilities

• Own AI-powered features end-to-end, from first insight to shipped product, across DeHaat's B2B/B2C platforms
• Author precise, engineering-ready documentation, PRDs, product specs, user stories, and acceptance criteria for AI capabilities (assistants, recommendation engines, workflow automation), clear enough that engineering can build without guesswork
• Build shoulder-to-shoulder with engineering to design, ship, and iterate on AI products powered by LLMs such as Claude
• Get out of the building, talk to farmers, retailers, and business customers, and turn what you hear directly into product decisions
• Define success metrics, run experiments and A/B tests, and let data be the loudest voice in the room
• Keep a clean paper trail of product decisions and trade-offs, and collaborate closely with leadership, design, data science, and engineering across the full build cycle

Requirements & Qualifications

• 2-4 years of product management experience, ideally in B2B/B2C environments
• Demonstrated hands-on experience building and shipping AI-powered products using LLMs (Claude or similar)
• Solid grounding in user research methods and research science
• A self-starter with a strong bias for execution, you'd rather ship and iterate than wait for the perfect plan
• Excellent written and verbal communication; comfortable working directly and rapidly with engineers
• Bachelor's/MBA from a Tier-I college.

Good to Have

• Experience in agritech, fintech, or lending-adjacent products, with hands-on experience solving real business problems using AI/LLMs, including prompt engineering and evaluation of LLM-based features.