Product Manager - AI

EPAM Systems, Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems, Inc. is seeking an experienced Product Manager - AI to lead vision, development, and delivery of AI-driven products in Bengaluru, India. You will bridge market needs, business objectives, and technical execution, guiding AI product strategy end-to-end.

The role requires 10+ years in PM, deep AI/ML knowledge, and a hands-on ability to drive product-market fit across BFSI, healthcare, and life sciences domains.

Qualifications

• 10–15 years of overall IT experience with 10+ years in Product Owner/PM roles.
• Expertise across BFSI, Healthcare, Insurance, Life Sciences domains.
• Strong AI/ML understanding, including NLP, computer vision, and generative AI concepts.

Responsibilities

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

Skills

Product leadership

Agile & Lean

Product ownership

AI product strategy

Market analysis

Roadmap management

Backlog prioritization

Cross-functional collaboration

Tools

BPM tools

Wireframing tools

Demo creation

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