Director of Product Management

• Define the organisation-wide AI product vision, strategy, and roadmap in partnership with business and technology leadership.

• 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.

• Lead the complete product lifecycle, including problem discovery, use-case definition, experimentation, prioritisation, development, launch, adoption, and optimisation.

• 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.

• Evaluate and integrate external AI platforms, LLM providers, and technology solutions where they offer clear business advantages.

• 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.

• Translate AI capabilities into measurable business outcomes across revenue growth, monetisation, cost optimisation, productivity, risk reduction, and customer engagement.

• 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.

• Establish practical governance frameworks for responsible AI development and deployment.

• 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.

• Build and strengthen the organisation's AI product management capabilities through talent development, operating processes, and best practices.

• Build and strengthen the organisation's AI product management capabilities through talent development, operating processes, and best practices.
• Lead, mentor, and develop a high-performing product management team.
• Establish effective operating rhythms, decision-making frameworks, and product documentation standards.
• Influence senior stakeholders and drive alignment across product, engineering, data science, design, risk, compliance, and business teams.

• 12–14 years of experience in Product Management, including at least 3 years of experience building or scaling AI-powered products.

• 12–14 years of experience in Product Management, including at least 3 years of experience building or scaling AI-powered products.
• Proven track record of launching and scaling B2C or B2B AI/ML-driven products beyond pilot stages into sustained adoption.
• Strong working knowledge of Generative AI and its product applications, including LLMs, transformers, embeddings, and modern AI application architectures.
• Ability to translate technical AI capabilities into customer-focused solutions, commercial value, and business priorities.
• Experience leading high-performing product teams and managing cross-functional stakeholders.
• Strong strategic thinking, analytical judgement, and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to operate effectively in fast-paced, ambiguous, and highly regulated environments.

• Experience in payments, fintech, financial services, or other regulated technology businesses.

• Experience in payments, fintech, financial services, or other regulated technology businesses.
• Familiarity with AI platforms, LLM providers, model evaluation, LLMOps, and MLOps.
• Experience with Retrieval-Augmented Generation (RAG) and AI-agent-based applications.
• Understanding of intelligent automation and AI-enabled customer experiences.
• Proven ability to balance product innovation with privacy, security, responsible AI practices, and regulatory requirements.

• Development of a focused AI product roadmap aligned with business and customer priorities.
• Successful launch and adoption of AI products at scale.
• Measurable improvements in operational efficiency, productivity, customer experience, risk management, revenue, or cost optimisation.
• Implementation of robust AI evaluation and governance frameworks.
• Establishment of a repeatable AI product operating model and a high-performing product team.

• Position: Director of Product Management – AI
• Experience: 12–18 years
• Location: Bangalore / Mumbai / Gurgaon