Product Manager

EPAM Systems; Argentina; Remote; ARS 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certificates

LinkedIn Learning access with 22,000+

Global career opportunities

Job summary

EPAM Systems Inc is scaling its product team to build AI-powered products and weave artificial intelligence into every phase of product delivery. The Product Manager will own vision, roadmap, and launches for multiple products, including at least one AI-based solution.

You will partner with engineering, data, design, and AI/ML teams to translate product intent into actionable requirements, manage backlogs, and drive end-to-end delivery while ensuring disciplined oversight and human-in-the-loop

Qualifications

• Minimum 5 years of product management experience.
• Track record launching AI-powered products or features.
• Strong ownership of product strategy, vision, and roadmapping.
• Experience with backlog management, release cycles, and product lifecycles.
• Fluent English communication at B2 level or higher.

Responsibilities

• Own the vision, strategic direction, roadmap execution, and end-to-end delivery of one or more products, ensuring at least one AI-powered solution.
• Create precise requirements and use cases for AI features with acceptance standards and guardrails.
• Evaluate where AI can raise product value and size robust business cases.
• Drive backlog management, release cycles, and cross-functional coordination with engineering, data, design, and AI/ML teams.
• Align stakeholders on AI capabilities and limitations and mentor other PMs.

Skills

Product management

AI-powered products

Backlog management

Stakeholder influence

Leadership

English communication

Tools

AI builder tools

Job description

We are scaling our product team to build AI-powered products and weave artificial intelligence into every phase of product delivery. As a Product Manager, you will drive vision, roadmap, and launches for multiple products, including at least one AI-based solution, using AI daily to improve research and planning.ResponsibilitiesOwn the vision, strategic direction, roadmap execution, and end-to-end delivery of one or more products, ensuring at least one solution is powered by artificial intelligenceCreate precise requirements and use cases for AI features as probabilistic products, setting data scopes, use-case fit, evaluation criteria, quality thresholds, safety guardrails, and human-in-the-loop review mechanisms as acceptance standardsEvaluate where artificial intelligence can raise product value, customer experience, internal processes, and business outcomes, and develop and size rigorous business cases for implementationUse AI tools productively with disciplined oversight across product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, always verifying outputs before relying on themDrive feature prioritization, maintain product backlogs, and manage release cycles, applying AI-assisted analytics to support rather than replace human decision-makingRun the full product lifecycle while incorporating AI operational needs such as model and version changes, quality drift, and ongoing human oversightPartner with engineering, data, design, and AI/ML teams to translate product intent into actionable requirements and navigate technical constraints in product decisionsAlign clients and stakeholders on AI capabilities and limitations, communicating benefits, risks, and trade-offs in clear, accessible languageMentor fellow Product Managers and increase the team's practical artificial intelligence proficiency by leading through daily exampleRequirementsMinimum 5 years of professional experience in Product Management, successfully managing one or more products end to end through post-launch maintenance and supportTrack record 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 with backlog management, 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 expertWorking AI literacy across 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 featuresDaily use of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, 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 LinkedIn