Senior Product Manager | Applied AI

About the Position

We are seeking a Senior Product Manager | Applied AI to join our growing product-management team. This role focuses on AI-powered products and applying AI across the entire 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 which is AI-powered-while using AI daily to work faster, make sharper decisions, and mentor other Product Managers.

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.
• Prioritize 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

• Learning Culture: Unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally.
• Health Coverage: Health and wellness are important, that is why we have you and up to four family members in a premiere health plan.
• Visual Benefit: Up to $200,000 COP for any visual health expenses.
• Life Insurance Plan: Full-coverage life insurance plan in partnership with MetLife.
• Medical Leave Coverage: 100% coverage of your medical leave, for up to 90 days.
• Professional Growth Opportunities: A highly competitive and complete development process.
• Stock Option Purchase Plan: Opportunity to purchase stock at a reduced price and become a part owner of our organization.
• Additional Income: Extra income by referring talent, being a technical interviewer, and more.
• Community Benefit: Part of a worldwide community of over 50,000 employees.

About the Company

We are committed to providing a supportive and enriching work environment. Our benefits include:

• Connectivity Bonus (25,000 ARS paid monthly).
• Medicina Prepaga (covers the collaborator and direct family group).
• Paternity Leave (Two additional days, totaling 4 days).
• Discounts card.
• English Training (English lessons twice per week).
• Training Program (Access to multiple customized training plans).
• Marriage bonus (The company doubles the allowance established by law).
• Referral Program (Referral bonus paid when a referred collaborator joins the Company).
• External Agreements and Discounts.
• Vacations: 14 calendar days a year.
• Career plan and real growth opportunities.
• Constant training, mentoring, online corporate courses, eLearning, and more.
• English classes with a certified teacher.
• Support for employee’s initiatives (Algorithms club, toastmasters, agile club, and more).
• Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams, and more).
• Flexible work schedule and dress code.
• Collaborate in a multicultural environment and share best practices from around the globe.
• Hired directly by EPAM & 100% under payroll.
• Law benefits (IMSS, INFONAVIT, 25% vacation bonus).
• Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members).
• 13% employee savings fund, capped to the law limit.
• Grocery coupons.
• 30 days December bonus.
• Employee Stock Purchase Plan.
• 12 vacation days.
• Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st).
• Monthly non-taxable amount for the electricity and internet bills.