Senior Product Manager | Applied AI

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.

Responsibilities

• Own the vision, strategy, roadmap and end-to-end delivery of one or more products, including at least one that is AI-powered

• Define 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 criteria

• Identify where AI can improve the product, the customer experience, internal processes or business outcomes — and build and size the case for it

• Use AI tools productively and with discipline across discovery, research synthesis, analysis, documentation, user stories, prototyping and planning — verifying outputs before relying on them

• Prioritise features, own the backlog and manage release cycles, using AI-assisted analysis to support (not replace) your decisions

• Manage the full product lifecycle, including the added considerations of AI features — model/version changes, quality drift and human oversight

• Work closely with engineering, data, design and AI/ML teams, translating product intent into requirements they can act on and their constraints into product decisions

• Set realistic expectations with clients and stakeholders about what AI can and cannot do, and communicate benefits, limitations and risks in plain language

• Mentor Product Managers and raise the team's practical AI capability by example

Requirements

• 5+ years in Product Management, having managed one or more products end to end, including post-launch maintenance and support

• Launched 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 value

• Experience owning backlogs, cross-product dependencies and release cycles, and managing product lifecycle and support models

• Familiarity with product profitability, competitive positioning and pricing — including the cost, latency and quality trade-offs that shape AI-feature economics

• Expertise across multiple (3+) business domains, able to act as a business-domain SME

• Working 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 required

• Able to influence stakeholders up to and including VP level, and to lead all critical aspects of a product launch

• Able to lead a team of Product Owners and/or Product Managers across a product line or family, guiding them through the full lifecycle

• Raises the team's practical AI proficiency — sharing verified ways of working and coaching on requirements and evaluation criteria for AI features

• Practical, daily use of AI across research, discovery, analysis, documentation, user stories, prototyping and planning — with verification of outputs

• Ability to identify and justify AI opportunities in products, processes, CX and business outcomes

• Working AI literacy — concepts, terminology, capabilities and limitations at PM depth

• Experience defining requirements and use cases for AI features, including evaluation criteria, quality bars, guardrails and human oversight

• Ability to evaluate AI outputs for quality, accuracy, risk, limitations and user impact

• Responsible-AI awareness — privacy, bias, security, transparency and human oversight

• Ability to work effectively with engineering, data, design and AI/ML teams

• Adaptability and continuous learning as AI tools and capabilities evolve

Nice to have

• Hands-on prototyping with AI builder tools to near-production fidelity

• Building PM agents / multi-step automations across research, backlog, analytics and comms

• Understanding 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 rules

• Prior experience taking an AI-powered product to production at scale

We offer

• Connectivity 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 year

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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.