Product Manager

EPAM Systems; Argentina; Remote; ARS 2,000,000 - 4,200,000; Full time

Benefits offered by this job

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Job summary

EPAM Systems is seeking a Senior Product Manager focused on Applied AI to own the vision, strategy, and delivery of AI-powered products. You’ll collaborate with engineering, data, design and AI/ML teams to translate business goals into concrete AI-enabled features, ensuring quality and governance across the product lifecycle.

You will guide stakeholders, manage backlogs and releases, and continuously enhance value through data-driven decisions in a rapidly evolving AI landscape.

Qualifications

• 5+ years of professional Product Management experience with AI-powered products.
• Experience bringing AI-driven features to market including generative AI or ML.
• Strong command of strategy, roadmapping, market analysis and product visioning.

Responsibilities

• Define vision, strategy, roadmap, and delivery for AI-powered products.
• Specify AI use cases with data boundaries, evaluation benchmarks and safety measures.
• Lead cross-functional teams across engineering, data, design and AI/ML.

Skills

Product management

AI strategy

Roadmapping

Stakeholder influence

Backlog management

Cross-functional leadership

Data-driven decisions

User story writing

Release planning

AI literacy

Tools

AI builder tools

Job description

We're growing our product management function tasked with advancing AI-powered offerings and weaving artificial intelligence throughout every phase of the product journey. As a Senior Product Manager | Applied AI, you'll take charge of the vision, strategy, roadmap, and complete delivery of several products—with at least one being AI-driven—while applying AI consistently to speed up your work, improve decision-making, and guide fellow Product ManagersResponsibilitiesHold full accountability for the vision, strategic path, roadmap execution, and complete delivery of one or more products, with at least one powered by artificial intelligenceSpecify clear requirements and use cases for AI functionality by approaching them as probabilistic systems, setting data boundaries, use-case alignment, evaluation benchmarks, quality thresholds, safety measures, and human-in-the-loop checks as acceptance criteriaSpot strategic chances where AI can boost product worth, customer experience, internal operations, and business results while developing and scaling solid business cases for executionApply AI tools effectively and with careful oversight throughout product discovery, research synthesis, data analysis, documentation, user story writing, prototyping, and planning, always confirming outputs before trusting themRank product features, manage product backlogs, and supervise release cycles, using AI-supported analytics to complement rather than substitute human judgmentHandle the full product lifecycle, factoring in the distinct operational realities of AI features like model and version updates, quality drift, and continuous human monitoringWork closely alongside engineering, data, design, and AI/ML teams to turn product intentions into concrete requirements while effectively managing technical limitations in product choicesSet grounded expectations with clients and stakeholders around AI capabilities and constraints, explaining benefits, risks, and trade-offs using plain, understandable termsGuide fellow Product Managers and raise the team's hands-on AI competency by demonstrating practical application dailyRequirementsAt least 5 years of professional Product Management experience, having successfully run one or more products from start through post-launch supportClear history of bringing multiple products or significant features to market, including direct experience delivering or substantially improving AI-powered products or features such as generative AI, machine learning, recommendation systems, search algorithms, or automation toolsStrong command of product strategy, vision, roadmapping, market analysis, and product visioning, with demonstrated skill in spotting and justifying valuable AI opportunitiesBroad experience managing backlogs, cross-product dependencies, release cycles, product lifecycles, and continuing customer support structuresThorough understanding of product profitability, competitive positioning, pricing approaches, and the key cost, latency, and quality trade-offs that shape AI-feature economicsStrong subject matter knowledge across 3 or more business domains, positioning you as a credible business-domain expertFunctional AI literacy covering present-day AI and generative AI/LLM capabilities, dependable limits, common patterns, and typical failure points to support sound product decisions and credible technical conversations without needing model-building skillsDemonstrated capacity to influence varied stakeholders up through VP level and steer every critical component of complex product launchesSolid leadership skill to direct a team of Product Owners and Product Managers across a product line through the entire product lifecycleDedication to boosting the team's practical AI skill by sharing proven methods and coaching on requirements and evaluation standards for AI featuresConsistent, daily use of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, combined with careful output checkingProven skill in identifying and justifying high-value AI opportunities within products, operational workflows, customer experiences, and business resultsThorough functional AI literacy covering concepts, terminology, capabilities, and limitations at a product management levelDemonstrated experience defining precise requirements and use cases for AI features, including evaluation standards, quality thresholds, guardrails, and human oversightStrong ability to assess AI outputs for quality, accuracy, risk, limitations, and overall effect on usersSolid grasp of responsible-AI principles spanning data privacy, algorithmic bias, security, transparency, and human oversightDemonstrated capability to work effectively alongside engineering, data, design, and AI/ML development teamsStrong adaptability and dedication to ongoing learning as AI tools and capabilities continue evolving rapidlyFluent English communication abilities at a B2 level or higherNice to haveAdvanced hands-on experience prototyping with AI builder tools to achieve near-production qualityDemonstrated skill building product manager agents and multi-step automations that streamline research, backlog management, analytics, and communicationsThorough understanding of AI-feature economics, including cost, latency, and unit economics, plus model lifecycle management covering drift, versioning, and vendor transitionsAwareness of developing AI regulations such as the EU AI Act and relevant industry-specific compliance requirementsPrior direct experience successfully scaling an AI-powered product into 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