Product Manager

We are growing our product function to deliver AI-powered products and embed artificial intelligence across the full product lifecycle. As a Product Manager, you will shape strategy and roadmaps for multiple products, including at least one AI-driven solution, while using AI daily to speed up execution and support the team.

Responsibilities

• Lead the vision, strategic direction, roadmap execution, and end-to-end delivery for one or more products, ensuring at least one solution is powered by artificial intelligence
• Specify clear requirements and use cases for AI features as probabilistic products, defining data scopes, use-case fit, evaluation criteria, quality thresholds, safety guardrails, and human-in-the-loop review mechanisms as acceptance standards
• Spot opportunities where artificial intelligence can boost product value, customer experience, internal processes, and business outcomes, and build and size rigorous business cases for implementation
• Apply AI tools with disciplined oversight across product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, verifying outputs before relying on them
• Prioritize features, keep product backlogs healthy, and run release cycles, using AI-assisted analytics to inform rather than replace human decision-making
• Oversee the full product lifecycle, accounting for AI-specific operations such as model and version changes, quality drift, and ongoing human oversight
• Collaborate closely with engineering, data, design, and AI/ML teams to turn product intent into actionable requirements while navigating technical constraints in product decisions
• Set realistic expectations with clients and stakeholders about AI capabilities and limitations, explaining benefits, risks, and trade-offs in clear, accessible language
• Coach fellow Product Managers and strengthen the team's practical artificial intelligence proficiency by leading through daily example

Requirements

• Hands-on product management experience of 5+ years, owning one or more products end to end through post-launch maintenance and support
• Demonstrated history of shipping multiple products or major capabilities, including direct work delivering or meaningfully improving AI-powered products or features such as generative AI, machine learning, recommendation engines, search algorithms, or automation tools
• Proven ownership of product strategy, vision, roadmapping, market analysis, and product visioning, with the ability to spot and justify high-value artificial intelligence opportunities
• Extensive practice managing backlogs, cross-product dependencies, release cycles, product lifecycles, and ongoing customer support models
• Strong familiarity with product profitability, competitive positioning, pricing strategies, and the cost, latency, and quality trade-offs that shape AI-feature economics
• Deep subject matter expertise across 3 or more business domains, enabling you to serve as a trusted business-domain subject matter expert
• Solid working AI literacy across current AI and generative AI/LLM capabilities, reliable boundaries, common patterns, and typical failure modes to guide product decisions and hold credible technical dialogues without requiring model-building knowledge
• Proven ability to influence diverse stakeholders up to the VP level and lead critical components of complex product launches
• Strong leadership capability to guide a team of Product Owners and Product Managers across a product line or family through the complete product lifecycle
• Commitment to raising the team's practical AI proficiency by sharing verified working methods and coaching on requirements and evaluation criteria for AI features
• Practical, daily utilization of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, paired with rigorous output verification
• Demonstrated ability to identify and justify high-impact AI opportunities within products, operational processes, customer experiences, and business outcomes
• Comprehensive working AI literacy encompassing concepts, terminology, capabilities, and limitations at a product management depth
• Proven experience defining rigorous requirements and use cases for AI features, incorporating evaluation criteria, quality bars, guardrails, and human oversight
• Strong capability to evaluate AI outputs for quality, accuracy, risk, limitations, and overall user impact
• Deep awareness of responsible-AI principles covering data privacy, algorithmic bias, security, transparency, and human oversight
• Demonstrated ability to collaborate effectively with engineering, data, design, and AI/ML development teams
• Unwavering adaptability and commitment to continuous learning as AI tools and capabilities rapidly evolve
• Fluent English communication skills at a B2 level or higher

Nice to have

• Advanced hands-on prototyping experience with AI builder tools achieving near-production fidelity
• Proven ability to build product manager agents and multi-step automations streamlining research, backlog management, analytics, and communications
• In-depth understanding of AI-feature economics, including cost, latency, and unit economics, alongside model lifecycle management covering drift, versioning, and vendor changes
• Familiarity with emerging AI regulations such as the EU AI Act and relevant industry-specific compliance rules
• Direct prior experience successfully scaling and taking an AI-powered product to production

Benefits

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn