Product Manager — AI Products

About Knowdis.ai

KnowDis AI is a research-driven startup building cutting-edge solutions in Natural Language Processing (NLP) and Generative AI. Our AI tools are designed to automate and enhance business processes, including content generation, information retrieval, and document understanding. We work with clients across industries such as e-commerce, fashion, banking, and pharma, helping them unlock value through enterprise-ready AI solutions.

Role overview

KnowDis.ai is building advanced AI-powered products focused on intelligent search, recommendations, and automation for enterprise and e-commerce applications. We are seeking a Product Manager — AI Products to drive product strategy, execution, and delivery for AI-driven search and recommendation systems.

This role is ideal for product managers with prior experience in large-scale e-commerce environments who understand how discovery, ranking, personalization, and recommendation engines impact user experience and business outcomes. The role requires close collaboration with engineering, AI/ML, design, and business teams to build scalable, data-driven products that deliver measurable performance improvements for customers.

You will work closely with founders and technical teams to translate complex AI capabilities into production-ready product features aligned with real-world commercial use cases.

Key responsibilities

• Product ownership & roadmap execution: Define and drive product roadmaps for AI-powered search and recommendation products, aligning business goals with technical capabilities and customer needs.
• E-commerce discovery optimization: Leverage prior experience in e-commerce ecosystems to improve product discovery, ranking, personalization, and recommendation workflows that enhance engagement and conversion outcomes.
• Requirement definition & execution: Translate business and customer requirements into detailed product specifications, user stories, and acceptance criteria for engineering and AI teams.
• Cross-functional collaboration: Work closely with AI/ML engineers, backend teams, designers, and business stakeholders to ensure timely delivery of scalable product features.
• Data-driven decision making: Define product metrics, analyze experimentation results, and drive continuous optimization through A/B testing and performance analysis.
• AI product translation: Bridge the gap between AI research and product implementation by converting technical capabilities into clear product use cases and customer value propositions.
• Customer & stakeholder engagement: Collaborate with enterprise clients and internal teams to gather feedback, understand use cases, and prioritize product enhancements.
• Product lifecycle management: Own feature delivery from ideation to launch, including prioritization, sprint planning, release coordination, and post-launch performance monitoring.
• Market and competitive analysis: Track industry trends in AI search, personalization, and commerce technology to inform product strategy and differentiation.
• Documentation & communication: Maintain clear product documentation, roadmap communication, and alignment across leadership, engineering, and go-to-market teams.

Required skills & experience

• 4–5 years of product management experience, preferably within e-commerce, marketplace, or consumer technology platforms.
• Direct experience working on product search, ranking systems, recommendation engines, or personalization features in large-scale e-commerce environments.
• Prior experience at leading e-commerce or marketplace companies (e.g., Flipkart, Meesho, or similar high-scale platforms) is strongly preferred.
• Strong understanding of user discovery journeys, catalog structures, search relevance, conversion optimization, and marketplace dynamics.
• Experience working closely with engineering and data science/ML teams in shipping data-driven products.
• Strong analytical mindset with experience defining product KPIs, running experiments, and interpreting performance metrics.
• Ability to understand AI/ML concepts at a functional level and translate technical discussions into product decisions.
• Excellent stakeholder management and communication skills, with the ability to work directly with founders and senior leadership.
• Experience working in agile product development environments with strong execution ownership.
• Comfort operating in a fast-paced startup environment with evolving priorities and high accountability.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or a related technical discipline preferred.
• MBA or postgraduate degree in Product Management, Business, or Analytics is a plus but not mandatory.
• Demonstrated experience launching or scaling features impacting user discovery, engagement, or conversion metrics.

What success looks like (first 6–12 months)

• Clear product roadmap established for AI search and recommendation capabilities.
• Successful launch of product features improving discovery relevance and measurable customer outcomes.
• Strong collaboration established between product, AI engineering, and customer-facing teams.
• Data-driven experimentation framework implemented to continuously improve product performance.

Why join KnowDis.ai

This role offers the opportunity to shape next-generation AI products at the intersection of commerce and machine intelligence. You will work closely with founders and cutting-edge AI teams to build scalable systems that redefine how users discover products and information in real-world production environments.

Selection Process:

• Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through this posting will be evaluated further.
• Shortlisted candidates may be required to appear in a Screening interview administered by Jigya
• Candidates selected after the Jigya screening rounds will be interviewed by KnowDis