Director of Product Management
- Compensation
- Not disclosed
- Location
- Bengaluru, Karnataka, India; Mumbai, Maharashtra, India; Gurugram, Haryana, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Not specified
- Posted
Skills
Must have
- 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.
Nice to have
- 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.
Full description
**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.