Director of Product Management

This role is for one of Weekday’s clients Salary range: Rs 5000000 - Rs 9000000 (ie INR 50 - 90 LPA)

Min Experience: 12+ years Location: Bangalore, Mumbai, Gurgaon JobType: full-time

We are looking for an experienced Director of Product Management – AI to define and drive the organisation-wide AI product strategy. This is a high-impact leadership role at the intersection of artificial intelligence, product management, technology, and business, focused on transforming high-value business problems into secure, scalable, and measurable AI-powered products. The role involves building and managing an AI product portfolio across Generative AI, predictive machine learning, intelligent automation, and AI-enabled customer experiences. Key application areas may include fraud detection, risk management, customer support, personalised payment experiences, and operational efficiency. You will lead the complete product lifecycle, from identifying opportunities and prioritising use cases to product development, launch, adoption, and continuous improvement. Working closely with business and technology leadership, you will establish a scalable AI product operating model and build high-performing teams that deliver meaningful business and customer outcomes. Requirements Key Responsibilities 1. AI Product Strategy and Roadmap - Define the organisation-wide AI product vision, strategy, and roadmap in partnership with business and technology leadership. - Build and prioritise an AI product portfolio based on customer needs, business value, technical feasibility, risk, and speed of implementation. - Identify opportunities to move AI initiatives from isolated experiments to scalable, commercially valuable products. - Align AI product priorities with broader organisational goals and customer requirements. 2. End-to-End Product Management - Lead the complete product lifecycle, including problem discovery, use-case definition, experimentation, prioritisation, development, launch, adoption, and optimisation. - Translate business challenges and AI capabilities into clear product requirements and execution plans. - Partner with AI/ML engineers, data scientists, designers, platform teams, and business stakeholders to deliver reliable AI products at scale. - Ensure products meet expectations for quality, performance, security, usability, and business impact. 3. AI and Technology Integration - Evaluate and integrate external AI platforms, LLM providers, and technology solutions where they offer clear business advantages. - Drive the development of AI-powered experiences using Generative AI, LLMs, predictive machine learning, and intelligent automation. - Establish modern AI product practices, including model evaluation, human-in-the-loop workflows, feedback mechanisms, observability, and continuous improvement. - Balance innovation with security, privacy, cost efficiency, and technical performance. 4. Business Impact and Performance Management - Translate AI capabilities into measurable business outcomes across revenue growth, monetisation, cost optimisation, productivity, risk reduction, and customer engagement. - Define product success metrics and establish frameworks to monitor adoption, quality, reliability, safety, and user experience. - Track product performance and continuously identify opportunities for improvement. - Ensure AI products deliver sustained value beyond pilot implementations. 5. Responsible AI and Governance - Establish practical governance frameworks for responsible AI development and deployment. - Ensure compliance with regulatory requirements related to data privacy, security, explainability, risk management, and auditability. - Work with risk, compliance, and technology teams to identify and manage AI-related risks. - Promote responsible experimentation and reliable production deployment. 6. Leadership and Team Development - Build and strengthen the organisation's AI product management capabilities through talent development, oper