[Hiring] Product Manager @EPAM

Role Description

We are investing in product leadership to ship AI-powered products and embed artificial intelligence across discovery, delivery, and operations. As a Product Manager, you will guide strategy, roadmap, and releases for several products, including at least one AI-driven solution, and use AI every day to sharpen decisions. Join a collaborative team and apply today.

• Drive the complete vision, strategic direction, roadmap execution, and end-to-end delivery of one or more products, ensuring at least one solution is powered by artificial intelligence.
• Define rigorous requirements and use cases for AI features as probabilistic products, including:
  • Data scopes
  • Use-case fit
  • Evaluation criteria
  • Quality thresholds
  • Safety guardrails
  • Human-in-the-loop review mechanisms as acceptance standards
• Identify where artificial intelligence can improve product value, customer experience, internal processes, and business outcomes, and build and size rigorous business cases for implementation.
• Leverage AI tools with disciplined oversight throughout product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, verifying outputs before relying on them.
• Plan priorities, maintain product backlogs, and coordinate release cycles, using AI-assisted analytics to support rather than replace human decision-making.
• Manage the end-to-end product lifecycle with AI operational realities such as model and version changes, quality drift, and ongoing human oversight.
• Partner with engineering, data, design, and AI/ML teams to convert product intent into actionable requirements and make product decisions within technical constraints.
• Communicate clearly with clients and stakeholders about AI capabilities and limitations, including benefits, risks, and trade-offs in accessible language.
• Support and mentor fellow Product Managers, elevating the team's practical artificial intelligence proficiency by leading through daily example.

Qualifications

• At least 5 years of professional experience in Product Management, managing one or more products end to end through post-launch maintenance and support.
• Demonstrated success launching multiple products or major capabilities, with hands-on delivery or material enhancement of AI-powered products or features such as generative AI, machine learning, recommendation engines, search algorithms, or automation tools.
• Strong capability to own product strategy, vision, roadmapping, market analysis, and product visioning, including identifying and justifying high-value artificial intelligence opportunities.
• Extensive experience handling backlogs, cross-product dependencies, release cycles, product lifecycles, and ongoing customer support models.
• Comprehensive familiarity with product profitability, competitive positioning, pricing strategies, and the cost, latency, and quality trade-offs that drive AI-feature economics.
• Deep subject matter expertise across 3 or more business domains, allowing you to act as a trusted business-domain subject matter expert.
• Solid AI literacy covering current AI and generative AI/LLM capabilities, reliable boundaries, common patterns, and typical failure modes to support product decisions and credible technical dialogues without needing model-building knowledge.
• Proven ability to influence stakeholders up to the VP level and lead all critical aspects 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 improving the team's practical AI proficiency by sharing verified working methods and coaching on requirements and evaluation criteria for AI features.
• Practical daily use of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, with rigorous verification of outputs.
• 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, including evaluation criteria, quality bars, guardrails, and human oversight.
• Strong ability 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.

Requirements

• 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.