AI Product Lead - Founder's Office

• Own the AI product roadmap from problem discovery to execution and scale.
• Identify high-value use cases where AI can improve retailer productivity, profitability and decision-making.
• Spend significant time understanding the real-world behaviour and pain points of kirana and small retailers.
• Translate customer problems into clear product requirements, workflows and measurable outcomes.
• Evaluate and implement Generative AI, LLMs, AI agents and automation where they create genuine product value.
• Build and test rapid MVPs and prototypes to validate ideas before investing heavily in engineering.
• Work closely with Engineering, Data, Operations, Category, Supply Chain and Business teams to take products live.
• Define product metrics and continuously measure adoption, engagement, retention and business impact.
• Own product prioritisation and make clear trade-offs between speed, impact and complexity.
• Develop a strong understanding of retailer data, transaction behaviour, inventory, assortment, pricing and replenishment patterns.
• Take products from early experimentation to scalable, reliable systems used across the Fairdeal.Market network.
• Present product strategy, progress, learnings and business impact directly to the Founder.

• 8+ years of experience building and scaling technology products used by real customers.
• Strong experience in Product Management / 0-to-1 product building / Founder’s Office / Product Strategy.
• Strong understanding of Generative AI and modern AI product development.
• Ability to differentiate between an AI demo, feature and scalable product.
• Experience working closely with engineering and data teams.

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• Strong customer discovery and problem-solving skills.
• Ability to work with ambiguity and independently drive initiatives from idea to execution.
• Strong analytical and strategic thinking with a bias toward action.
• Excellent communication and stakeholder-management skills.

Good to have

• Experience building AI-first products, AI agents or LLM-powered applications.
• Experience in B2B, B2B2C, Retail, E-commerce, Quick Commerce, FMCG or Supply Chain.
• Experience with recommendation engines, demand forecasting, inventory optimisation, pricing, assortment or replenishment products.
• Experience working in an early-stage startup or directly with founders.
• Technical understanding of APIs, LLMs, AI workflows, data pipelines and product experimentation.
• Experience taking a product from 0 → 1 and subsequently scaling it.