Product Manager - AI

EPAM Systems; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems seeks an experienced Product Manager - AI to lead vision, development, and delivery of AI-driven products from concept to production. You will bridge market needs, business objectives, and technical execution, driving innovative AI solutions with responsible practices.

The role requires deep AI/ML acumen, extensive product ownership experience, and a track record of delivering in BFSI, Healthcare, Insurance, or Life Sciences domains.

Qualifications

• 10–15 years of overall IT experience with 10+ years in Product Owner/PM roles.
• Deep knowledge of AI, ML, NLP, CV, and Generative AI with hands-on product implications.
• Experience in BFSI, Healthcare, Insurance or Life Sciences domains.
• Ability to define roadmaps, manage risk, and drive product-market fit.

Responsibilities

• Define and communicate product vision aligning stakeholders around a shared goal.
• Lead AI product initiatives from concept to production with entrepreneurial mindset.
• Bridge market needs with business strategy to ensure product-market fit.
• Own design processes to deliver user-centric AI solutions and services.
• Develop go-to-market strategies and business models with financial projections.
• Manage the product roadmap and ensure alignment with priorities and timelines.
• Conduct market and competitor analysis to inform strategy and decisions.
• Oversee backlog and change management to maintain delivery efficiency.
• Track product success metrics and iterate based on data and feedback.
• Apply agile methods to AI product development and data teams.

Skills

Product ownership

AI/ML understanding

Product strategy

Agile

Stakeholder mgmt

Market analysis

MLOps/LLMOps

Ethical AI

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