Product Manager - AI

EPAM Systems; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

EPAM Systems is seeking an experienced Product Manager - AI to lead the vision, development, and delivery of AI-driven products. You will bridge market needs, business objectives, and technical execution, guiding initiatives from concept to production.

The ideal candidate has deep AI/ML expertise, enterprise domain knowledge in BFSI, healthcare and life sciences, and a track record of delivering user-centric, market-fit products using agile practices.

Qualifications

• 10-15 years of IT experience with 10+ years in Product Owner/PM roles
• Expertise in BFSI, Healthcare, Insurance and Life Sciences domains
• Proficient in BPM, wireframing, mockup design and demo creation
• Knowledge of ML, DL, NLP, Computer Vision and Generative AI/LLMs
• Understanding of MLOps/LLMOps lifecycle and AI system ethics
• Familiarity with AI productivity tools for product management

Responsibilities

• Define and communicate product vision and mission to align stakeholders around a shared goal
• Lead product development initiatives with an entrepreneurial mindset to identify opportunities
• Bridge market demands and business strategy to ensure product-market fit
• Own product and service design processes to deliver user-centric solutions
• Develop and execute product and go-to-market strategies for launches
• Build business models and financial projections to support decisions
• Manage the product roadmap aligning with priorities and timelines
• Conduct market and competitor analysis to inform decisions
• Oversee backlog and change management for delivery efficiency
• Track and report product success metrics to inform iteration
• Apply agile delivery methodologies to manage development cycles
• Own AI solutions from concept to production with responsible AI practices

Skills

Product leadership

AI/ML knowledge

Agile delivery

Backlog management

Requirements engineering

Domain expertise BFSI healthcare life‑

Job description

We are looking for an experienced Product Manager - AI to lead the vision, development, and delivery of AI-driven products, bridging the gap between market needs, business objectives, and technical execution. The ideal candidate will bring strong product leadership skills combined with deep technical acumen in AI and machine learning to drive innovative solutions from concept to production.

Responsibilities

• Define and communicate product vision and mission to align stakeholders around a shared goal
• Lead product development initiatives with an entrepreneurial mindset to identify new opportunities
• Serve as the bridge between market demands and business strategy to ensure product-market fit
• Own product and service design processes to deliver user-centric solutions
• Develop and execute product and go-to-market strategies for successful product launches
• Build business models and financial projections to support product decisions
• Manage the product roadmap to ensure alignment with business priorities and timelines
• Conduct market and competitor analysis to inform strategic product decisions
• Oversee backlog and change management processes to maintain delivery efficiency
• Track and report on product success metrics to measure impact and inform iteration
• Apply agile delivery methodologies to manage product development cycles
• Own AI solutions from concept to production, ensuring responsible and ethical AI practices throughout the lifecycle

Requirements

• 10-15 years of overall experience in IT, with 10+ years specifically in Product Owner and Product Management roles
• Expertise in BFSI, Healthcare, Insurance, and Life Sciences domains
• Expertise in BPM, wireframing, mockup design, and demo creation
• Expertise in product roadmap management, risk management, and mitigation strategies
• Knowledge of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI / LLMs
• Understanding of model training versus model usage trade-offs, along with MLOps / LLMOps lifecycle management
• Understanding of dataset creation, labeling, quality considerations, AI evaluation metrics, and monitoring strategies
• Familiarity with advanced requirements engineering for AI systems and agile product ownership for AI and data teams
• Knowledge of responsible AI principles and ethics
• Familiarity with AI models used for productivity enhancement in product management activities