Group Product Manager

About the job :Job Summary :

The Group Product Manager (GPM) - MADTECH.AI will own the end-to-end product strategy, execution, and evolution of the MADTECH.AI platform and associated product initiatives. This role is responsible for driving cross-functional alignment across Product Management, Software Engineering, AI/ML, Data Engineering, BI & Analytics, DevOps, Product Marketing, and Product Support functions to ensure successful product delivery and business growth. The ideal candidate will bring a strong combination of product leadership, technical depth, SaaS platform experience, and business acumen with proven experience building and scaling enterprise B2B SaaS products within AdTech, MarTech, DataTech, Analytics, AI, or integration ecosystems.

Key Responsibilities : 1. Product Strategy & Ownership :

• Own and drive the overall product vision, roadmap, and execution strategy for the MADTECH.AI platform and related product offerings.

• Align product priorities with business objectives, customer requirements, market opportunities, and technology evolution.

• Conduct market research, competitive analysis, customer discovery, and industry trend analysis across AdTech, MarTech, Data & AI ecosystems.

• Translate business opportunities and customer pain points into scalable product capabilities and actionable product requirements.

• Prioritize product initiatives based on customer value, business impact, scalability, and technical feasibility.

2. End-to-End Product Development Leadership :

• Lead the complete product lifecycle including ideation, requirements gathering, solution definition, architecture alignment, development, testing, release, and post-launch optimization.

• Work closely with Engineering, Data Engineering, AI/ML, QA, DevOps, and BI teams to ensure high-quality and scalable product delivery.

• Drive Agile product development practices using Scrum/Kanban methodologies.

• Own product roadmaps, sprint planning, release planning, and execution tracking using tools such as Jira and Confluence.

• Ensure timely execution, risk mitigation, stakeholder communication, and cross-functional coordination across departments.

3. Platform, Data & AI Innovation :

• Drive innovation initiatives across SaaS, AI/ML, Generative AI, analytics, automation, and integration capabilities.

• Identify opportunities to leverage AI agents, workflow automation, customer intelligence, predictive analytics, and data activation capabilities.

• Collaborate with technical teams on scalable platform architecture, API-first design, cloud-native development, and modern data ecosystems.