Senior Applied AI Product Manager

EPAM Systems

United States

On-site

USD 150,000 - 210,000

Full time

3 days ago
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Job summary

EPAM Systems Inc. is seeking an experienced Applied AI Senior Product Manager to own the strategy, vision, and roadmap for AI-powered products and features. You will drive value by identifying high-impact AI opportunities, collaborating with AI/ML teams, and guiding product launches across multiple domains.

The role emphasizes leadership, cross-functional collaboration, and responsible AI practices while delivering measurable business and customer value.

Qualifications

  • 5+ years in Product Management, including post-launch maintenance and launching multiple products.
  • Proven experience delivering or materially improving an AI-powered product or feature (e.g., GenAI, ML, recommendations, search, or automation).
  • AI literacy regarding current capabilities, limitations, and failure modes, with familiarity with product profitability, competitive positioning, and pricing.
  • Experience across 3+ business domains enabling credibility as a business-domain SME.
  • Daily practical use of AI across research, discovery, analysis, documentation, and prototyping, with adaptability as tools evolve.

Responsibilities

  • Own product strategy, vision, roadmap, and market analysis—identifying where AI adds tangible value.
  • Manage backlogs, release cycles, and support models while balancing cost, latency, and quality trade-offs for AI economics.
  • Collaborate with engineering, data, design, and AI/ML teams to define requirements, use cases, evaluation criteria, and guardrails.
  • Influence stakeholders up to VP level and lead all critical aspects of product launches.
  • Lead a team of Product Owners/Managers across a product line, promoting responsible AI practices (privacy, bias, security, transparency).

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.#1100332225

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 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
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