Product Manager - AI

EPAM Systems; Coimbatore District; On-site; INR 500,000 - 900,000; Full time

Job summary

EPAM Systems is seeking an experienced Product Manager - AI to lead the vision, development, and delivery of AI-driven products, bridging market needs, business objectives, and technical execution. The ideal candidate will bring strong product leadership with deep AI/ML expertise to drive solutions from concept to production.

You will define product roadmaps, lead go-to-market strategies, manage stakeholder alignment, and ensure responsible AI practices throughout the lifecycle.

Qualifications

• 10+ years in Product Owner and Product Management roles.
• 10-15 years IT experience with BFSI, Healthcare, Insurance, Life Sciences domains.
• Experience with BPM, wireframing, mockup design, and demo creation.
• Knowledge of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI / LLMs.
• Understanding of MLOps / LLMOps lifecycle management and AI ethics.

Responsibilities

• Define and communicate product vision to align stakeholders around a shared goal.
• Lead product development initiatives with an entrepreneurial mindset to identify new opportunities.
• Bridge market demands and business strategy to ensure product-market fit.
• Own product design processes to deliver user-centric solutions.
• Develop and execute product and go-to-market strategies for successful launches.
• Build business models and financial projections to support product decisions.
• Manage the product roadmap to align with priorities and timelines.
• Conduct market and competitor analysis to inform strategic decisions.
• Oversee backlog and change management to maintain delivery efficiency.
• Track and report 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 with responsible AI practices.

Skills

Product Owner

Product Management

AI/ML

Agile methodologies

Wireframing

Demo creation

Roadmap management

ML/Ops

NLP/Computer Vision

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