Senior Applied AI Product Manager

EPAM Systems is a global provider of digital platform engineering and development services. The company is seeking a Senior Applied AI Product Manager to lead the end-to-end lifecycle of AI-powered products and features, owning strategy, vision, roadmaps, and market analysis. The role involves coordinating cross-functional teams, influencing stakeholders, managing product execution, and promoting responsible AI practices.

Responsibilities:

• Strategy & Vision: Own product strategy, vision, roadmap, and market analysis—clearly identifying and justifying where AI adds tangible value
• Lifecycle & Execution: Manage backlogs, cross-product dependencies, release cycles, and support models while balancing cost, latency, and quality trade-offs for AI economics
• Cross-Functional Collaboration: Partner effectively with engineering, data, design, and AI/ML teams to define requirements, use cases, evaluation criteria, quality bars, and guardrails
• Stakeholder Influence: Influence stakeholders up to and including the VP level, leading all critical aspects of product launches
• Leadership & AI Proficiency: Lead a team of Product Owners/Managers across a product line, elevating the team's practical AI proficiency and promoting responsible AI practices (privacy, bias, security, transparency)

Requirements:

• 5+ years in Product Management, having successfully managed products end-to-end (including post-launch maintenance) and launched multiple products/capabilities to market
• At least one proven experience delivering or materially improving an AI-powered product or feature (e.g., GenAI, ML, recommendations, search, or automation)
• Solid working AI literacy regarding current capabilities, limitations, and failure modes, coupled with familiarity with product profitability, competitive positioning, and pricing
• Expertise across multiple (3+) business domains, enabling you to act as a credible business-domain SME
• Daily practical use of AI across research, discovery, analysis, documentation, and prototyping, with continuous adaptability as AI tools evolve