Senior Product Manager

About Es Magico

Es Magico is an AI-first enterprise transformation organisation that goes beyond consulting to deliver scalable execution across industries like BFSI, Healthcare, Entertainment, and Education. With offices in Mumbai and Bengaluru, we focus on enhancing the human workforce by building bespoke AI employees across business functions—innovating swiftly, executing with trust. We also collaborate with early-stage startups in their 0 → 1 journey as a venture builder, bringing AI-native products to life.

About the role

This L4 Product Manager role involves leading the strategy, roadmap, and execution of AI-native products while driving cross-functional alignment across engineering, design, and business teams. You will own product pricing decisions, translate customer needs into high-impact features, and guide teams through the full product lifecycle. This role is ideal for someone who brings strong leadership, technical depth, and the ability to balance user value with business goals.

Responsibilities:

• Define and own product strategy, roadmap, and execution for AI-native solutions.
• Own the end-to-end product pricing strategy, including market analysis, competitive benchmarking, pricing experiments, and continuous optimisation to drive revenue and adoption
• Gather and prioritize customer requirements and business use cases.
• Work with engineering and design teams to translate requirements into features.
• Conduct competitive analysis, market research, and user studies.
• Drive end-to-end lifecycle: ideation → MVP → release → GTM → iteration.
• Define and monitor KPIs (adoption, retention, churn, ARR, NPS).
• Act as the voice of the customer while balancing business and technical priorities.

Tech Stack / Tools You’ll Use:

• Roadmapping: Jira, Github, Confluence
• Analytics: Mixpanel, Amplitude, Google Analytics
• Prototyping: Figma, Miro
• Documentation: Notion, Confluence
• Communication: Slack, MS Teams

Requirements:

• 4+ years of product management experience.
• Experience in SaaS, AI/ML, or enterprise platforms.
• Strong technical understanding of AI/ML pipelines and cloud-native products.
• Excellent stakeholder management and leadership skills.
• Exposure to BFSI, Healthcare, or Education domains is a plus.
• Define and own product strategy, roadmap, and execution for AI-native solutions.
• Gather and prioritize customer requirements and business use cases.
• Work with engineering and design teams to translate requirements into features.
• Conduct competitive analysis, market research, and user studies.
• Drive end-to-end lifecycle: ideation → MVP → release → GTM → iteration.
• Act as the voice of the customer while balancing business and technical priorities.