Product Manager

EPAM Systems Inc; Colombia; Remote; COP 120,000,000 - 240,000,000; Full time

Job summary

EPAM Systems Inc. is seeking an experienced Product Manager to shape strategy and roadmaps for multiple AI-powered products across the full lifecycle.

You will specify AI feature requirements, define data scopes, and establish evaluation criteria with human-in-the-loop review mechanisms. Collaborate with engineering, data, design, and AI/ML teams to deliver end-to-end solutions that maximize value for clients.

Qualifications

• 5+ years of hands-on product management, owning one or more products end to end.
• Proven history of shipping AI-powered products or features (generative AI, ML, recommendation engines, search algorithms).
• Experience defining product strategy, roadmaps, market analysis, and product visioning.
• Strong backlog management, release cycles, product lifecycles, and customer support models.

Responsibilities

• Lead vision, strategy, roadmaps, and end-to-end delivery for AI-driven products.
• Define clear AI feature requirements, data scopes, and safety guardrails.
• Prioritize backlogs and drive releases using AI-informed analytics.
• Collaborate with engineering, data, design, and AI/ML teams to translate intent into actionable requirements.
• Oversee model/version changes, quality drift, and human oversight within products.

Skills

Product management

AI-powered products

Roadmapping

Stakeholder management

Leadership

Cross-functional teams

English communication

Education

Bachelor's degree in a relevant field

Tools

AI builder tools

Generative AI integration

Job description

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.ResponsibilitiesLead 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 intelligenceSpecify 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 standardsSpot opportunities where artificial intelligence can boost product value, customer experience, internal processes, and business outcomes, and build and size rigorous business cases for implementationApply AI tools with disciplined oversight across product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, verifying outputs before relying on themPrioritize features, keep product backlogs healthy, and run release cycles, using AI-assisted analytics to inform rather than replace human decision-makingOversee the full product lifecycle, accounting for AI-specific operations such as model and version changes, quality drift, and ongoing human oversightCollaborate closely with engineering, data, design, and AI/ML teams to turn product intent into actionable requirements while navigating technical constraints in product decisionsSet realistic expectations with clients and stakeholders about AI capabilities and limitations, explaining benefits, risks, and trade-offs in clear, accessible languageCoach fellow Product Managers and strengthen the team's practical artificial intelligence proficiency by leading through daily exampleRequirementsHands-on product management experience of 5+ years, owning one or more products end to end through post-launch maintenance and supportDemonstrated 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 toolsProven ownership of product strategy, vision, roadmapping, market analysis, and product visioning, with the ability to spot and justify high-value artificial intelligence opportunitiesExtensive practice managing backlogs, cross-product dependencies, release cycles, product lifecycles, and ongoing customer support modelsStrong familiarity with product profitability, competitive positioning, pricing strategies, and the cost, latency, and quality trade-offs that shape AI-feature economicsDeep subject matter expertise across 3 or more business domains, enabling you to serve as a trusted business-domain subject matter expertSolid 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 knowledgeProven ability to influence diverse stakeholders up to the VP level and lead critical components of complex product launchesStrong leadership capability to guide a team of Product Owners and Product Managers across a product line or family through the complete product lifecycleCommitment to raising the team's practical AI proficiency by sharing verified working methods and coaching on requirements and evaluation criteria for AI featuresPractical, daily utilization of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, paired with rigorous output verificationDemonstrated ability to identify and justify high-impact AI opportunities within products, operational processes, customer experiences, and business outcomesComprehensive working AI literacy encompassing concepts, terminology, capabilities, and limitations at a product management depthProven experience defining rigorous requirements and use cases for AI features, incorporating evaluation criteria, quality bars, guardrails, and human oversightStrong capability to evaluate AI outputs for quality, accuracy, risk, limitations, and overall user impactDeep awareness of responsible-AI principles covering data privacy, algorithmic bias, security, transparency, and human oversightDemonstrated ability to collaborate effectively with engineering, data, design, and AI/ML development teamsUnwavering adaptability and commitment to continuous learning as AI tools and capabilities rapidly evolveFluent English communication skills at a B2 level or higherNice to haveAdvanced hands-on prototyping experience with AI builder tools achieving near-production fidelityProven ability to build product manager agents and multi-step automations streamlining research, backlog management, analytics, and communicationsIn-depth understanding of AI-feature economics, including cost, latency, and unit economics, alongside model lifecycle management covering drift, versioning, and vendor changesFamiliarity with emerging AI regulations such as the EU AI Act and relevant industry-specific compliance rulesDirect prior experience successfully scaling and taking an AI-powered product to productionWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.