Senior Product Manager | Applied AI

EPAM Systems Inc; Argentina; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Connectivity Bonus

Medicina Prepaga

Paternity Leave

Discounts card

English Training

Training Program

Marriage bonus

Referral Program

External Agreements and Discounts

Vacations: 14 calendar days

Job summary

EPAM Systems, Inc. is growing its product-management team focused on AI-powered products.

As Senior Product Manager | Applied AI, you will own the vision, strategy, roadmap and end-to-end delivery of one or more products, including AI-powered features, while guiding a cross-functional team of engineers, data scientists and designers. You will define AI use cases, set success criteria and build the case for AI enhancements across the product lifecycle, using AI tools to inform decisions without

Qualifications

• 5+ years in Product Management, with end-to-end lifecycle ownership.
• Launched multiple products or features, including AI-powered capabilities.
• Strong ability to strategize, define requirements and roadmaps with AI considerations.
• Proven experience aligning product strategy with customer value and ROI.
• Experience leading Product Owners/Managers and mentoring teams.

Responsibilities

• Own the vision, strategy, roadmap and end-to-end delivery of one or more products, including at least one AI-powered product.
• Define requirements and use cases for AI features, setting evaluation criteria and success metrics.
• Identify AI opportunities to improve CX, processes or business outcomes and size the case for them.
• Prioritize features, manage the backlog and coordinate releases with AI-enabled analysis.
• Collaborate with engineering, data, design and AI/ML teams to translate product intent into actionable specs.
• Mentor Product Managers and raise the team's AI capability through examples and coaching.

Skills

Product management

AI literacy

Cross-functional leadership

Roadmapping

Backlog management

Stakeholder management

Data-driven decision making

GenAI/LLMs knowledge

Team leadership

Communication

Education

Bachelor's degree in a relevant field

MBA or similar (preferred)

Tools

AI builder tools

Job description

We are growing a product-management team that runs AI-powered products and applies AI across the whole product lifecycle. As a Senior Product Manager | Applied AI, you will own the vision, strategy, roadmap and delivery of one or more products — at least one of them AI-powered — while using AI day-to-day to work faster and make sharper decisions and mentoring other Product Managers as you do.What \"Applied AI\" means here. This is a product role, not an engineering role. We expect confident, practical command of AI as a product manager — using it across the lifecycle and shaping AI-powered features — not the ability to build, train or tune machine-learning models as an ML engineer or data scientist would.EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.ResponsibilitiesOwn the vision, strategy, roadmap and end-to-end delivery of one or more products, including at least one that is AI-poweredDefine requirements and use cases for AI features, treating them as probabilistic products — scoping data and use-case fit, and setting evaluation criteria, quality bars, guardrails and human-in-the-loop review as acceptance criteriaIdentify where AI can improve the product, the customer experience, internal processes or business outcomes — and build and size the case for itUse AI tools productively and with discipline across discovery, research synthesis, analysis, documentation, user stories, prototyping and planning — verifying outputs before relying on themPrioritise features, own the backlog and manage release cycles, using AI-assisted analysis to support (not replace) your decisionsManage the full product lifecycle, including the added considerations of AI features — model/version changes, quality drift and human oversightWork closely with engineering, data, design and AI/ML teams, translating product intent into requirements they can act on and their constraints into product decisionsSet realistic expectations with clients and stakeholders about what AI can and cannot do, and communicate benefits, limitations and risks in plain languageMentor Product Managers and raise the team's practical AI capability by exampleRequirements5+ years in Product Management, having managed one or more products end to end, including post-launch maintenance and supportLaunched more than one product (or key capability) to market, with at least one experience delivering or materially improving an AI-powered product or feature (e.g. GenAI, ML, recommendations, search or automation)Solid ownership of product strategy, vision and roadmap; market analysis and product visioning — including identifying and justifying where AI adds valueExperience owning backlogs, cross-product dependencies and release cycles, and managing product lifecycle and support modelsFamiliarity with product profitability, competitive positioning and pricing — including the cost, latency and quality trade-offs that shape AI-feature economicsExpertise across multiple (3+) business domains, able to act as a business-domain SMEWorking AI literacy — what current AI (including GenAI/LLMs) can and cannot do reliably, common patterns and typical failure modes — enough to make sound product decisions and hold credible conversations with technical teams. Deep model-building knowledge is not requiredAble to influence stakeholders up to and including VP level, and to lead all critical aspects of a product launchAble to lead a team of Product Owners and/or Product Managers across a product line or family, guiding them through the full lifecycleRaises the team's practical AI proficiency — sharing verified ways of working and coaching on requirements and evaluation criteria for AI featuresPractical, daily use of AI across research, discovery, analysis, documentation, user stories, prototyping and planning — with verification of outputsAbility to identify and justify AI opportunities in products, processes, CX and business outcomesWorking AI literacy — concepts, terminology, capabilities and limitations at PM depthExperience defining requirements and use cases for AI features, including evaluation criteria, quality bars, guardrails and human oversightAbility to evaluate AI outputs for quality, accuracy, risk, limitations and user impactResponsible-AI awareness — privacy, bias, security, transparency and human oversightAbility to work effectively with engineering, data, design and AI/ML teamsAdaptability and continuous learning as AI tools and capabilities evolveNice to haveHands-on prototyping with AI builder tools to near-production fidelityBuilding PM agents / multi-step automations across research, backlog, analytics and commsUnderstanding of AI-feature economics (cost, latency, unit economics) and model lifecycle (drift, versioning, vendor change)Familiarity with AI regulation (e.g., EU AI Act) and relevant sector rulesPrior experience taking an AI-powered product to production at scaleWe offerConnectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).Medicina Prepaga (It covers the collaborator and direct family group).Paternity Leave (Two additional days are added to what is established by law, total of 4 days).Discounts card.English Training (English lessons, twice per week).Training Program (Access to multiple customized training plans according to the needs of each role within the company).Marriage bonus (The company doubles the allowance established by law that ANSES offers).Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company).External Agreements and Discounts.Vacations: 14 calendar days a yearBy applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.