Applied AI Senior Product Manager

EPAM Systems Inc; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

EPAM Systems Inc. is seeking an experienced Applied AI Senior Product Manager to own end-to-end lifecycle of AI-powered products. You will shape strategy, vision, and roadmap, driving high-value AI initiatives such as GenAI, ML, search, and automation.

You will lead cross-functional teams, manage backlogs, define requirements, and influence stakeholders up to VP level, while promoting responsible AI practices and scalable AI solutions across multiple domains.

Qualifications

• 5+ years in Product Management, delivering end-to-end products and launches.
• Proven AI-powered product experience (GenAI, ML, search, automation).
• AI literacy, commercial acumen, pricing and profitability awareness.
• Business-domain expertise across multiple domains (3+).
• Daily practical use of AI, with adaptability as tools evolve.

Responsibilities

• Own product strategy, vision, and roadmap for AI-powered products.
• Manage backlogs, dependencies, releases, and support models with cost/latency/quality focus.
• Collaborate with engineering, data, design, and AI/ML teams to define requirements and guardrails.
• Influence stakeholders up to VP level during product launches.
• Lead a team of Product Owners/Managers and promote responsible AI practices.

Skills

Product management

AI product strategy

Roadmap development

Cross-functional leadership

Job description

We are looking for an experienced and forward-thinking Applied AI Senior Product Manager to lead the end-to-end lifecycle of cutting-edge AI-powered products and features. In this role, you will own the product strategy, vision, and roadmap, driving innovation by identifying and justifying high-value AI opportunities (such as GenAI, ML, search, and automation) that deliver exceptional business and customer value. Req# 1100335312

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

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