Product Manager

EPAM Systems; Colombia; Remote; COP 120,000,000 - 200,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification

Job summary

EPAM Systems is expanding its product management team to drive AI-powered products across the lifecycle. The Senior Product Manager, Applied AI, will own the vision, strategy, and roadmap for multiple AI-driven solutions while mentoring fellow Product Managers and collaborating with engineering, data, design, and AI/ML teams.

The role requires strong ownership of AI opportunities, cross-functional leadership, and the ability to communicate benefits and trade-offs to stakeholders in clear

Qualifications

• 5+ years of professional experience in Product Management.

Responsibilities

• Own the vision, strategy, roadmap and end-to-end delivery of AI-powered products.
• Define AI feature requirements with data scopes, use-case fit, and safety guardrails.
• Prioritize features, manage backlogs, and oversee release cycles with AI-assisted analytics.
• Partner with engineering, data, design, and AI/ML teams to translate product intent into requirements.
• Mentor other Product Managers and elevate AI proficiency across the team.

Skills

Product management

AI literacy

Stakeholder influence

Leadership

Backlog management

Job description

We are expanding our product management team responsible for driving AI-powered products and embedding artificial intelligence across every stage of the product lifecycle. As a Senior Product Manager | Applied AI, you will spearhead the vision, strategy, roadmap, and delivery of multiple products—including at least one AI-driven solution—while leveraging AI daily to accelerate workflows, make sharper decisions, and mentor fellow Product Managers.ResponsibilitiesOwn 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 intelligenceDefine precise requirements and use cases for AI features by treating them as probabilistic products, establishing data scopes, use-case fit, evaluation criteria, quality thresholds, safety guardrails, and human-in-the-loop review mechanisms as acceptance standardsIdentify strategic opportunities where artificial intelligence can elevate product value, customer experience, internal processes, and business outcomes while building and sizing rigorous business cases for implementationUtilize AI tools productively and with disciplined oversight across product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, always verifying outputs before relying on themPrioritize product features, maintain product backlogs, and oversee release cycles, utilizing AI-assisted analytics to support rather than replace human decision-makingManage the comprehensive product lifecycle, incorporating the unique operational considerations of AI features such as model and version changes, quality drift, and ongoing human oversightPartner closely with engineering, data, design, and AI/ML teams to translate product intent into actionable requirements while successfully navigating technical constraints in product decisionsEstablish realistic expectations with clients and stakeholders regarding AI capabilities and limitations, communicating benefits, risks, and trade-offs in clear, accessible languageActively mentor fellow Product Managers and elevate the team's practical artificial intelligence proficiency by leading through daily exampleRequirementsMinimum of 5 years of professional experience in Product Management, successfully managing one or more products end to end through post-launch maintenance and supportDemonstrated history of launching multiple products or key capabilities to market, including hands-on experience delivering or materially enhancing AI-powered products or features such as generative AI, machine learning, recommendation engines, search algorithms, or automation toolsStrong ownership of product strategy, vision, roadmapping, market analysis, and product visioning, with proven ability to identify and justify high-value artificial intelligence opportunitiesExtensive experience managing backlogs, cross-product dependencies, release cycles, product lifecycles, and ongoing customer support modelsComprehensive familiarity with product profitability, competitive positioning, pricing strategies, and the critical cost, latency, and quality trade-offs shaping AI-feature economicsDeep subject matter expertise across 3 or more business domains, enabling you to act as a trusted business-domain subject matter expertSolid working AI literacy covering current AI and generative AI/LLM capabilities, reliable boundaries, common patterns, and typical failure modes to make sound product decisions and hold credible technical dialogues without requiring model-building knowledgeProven ability to influence diverse stakeholders up to the VP level and lead all critical aspects 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.