EPAM is a leading integral 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.

We are expanding our product management team responsible for driving AI-powered products and embedding artificial intelligence across every stage of the product lifecycle. As a Senior Product Manager | Applied AI, you will spearhead the vision, strategy, roadmap, and delivery of multiple products—including at least one AI-driven solution—while leveraging AI daily to accelerate workflows, make sharper decisions, and mentor fellow Product Managers.

Responsibilities

Own the complete vision, strategic direction, roadmap execution, and end-to-end delivery of one or more products, ensuring at least one solution is powered by artificial intelligence

Define precise requirements and use cases for AI features by treating them as probabilistic products, establishing data scopes, use‑case fit, evaluation criteria, quality thresholds, safety guardrails, and human‑in‑the‑loop review mechanisms as acceptance standards

Identify strategic opportunities where artificial intelligence can elevate product value, customer experience, internal processes, and business outcomes while building and sizing rigorous business cases for implementation

Utilize AI tools productively and with disciplined oversight across product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, always verifying outputs before relying on them

Prioritize product features, maintain product backlogs, and oversee release cycles, utilizing AI‑assisted analytics to support rather than replace human decision‑making

Manage the comprehensive product lifecycle, incorporating the unique operational considerations of AI features such as model and version changes, quality drift, and ongoing human oversight

Partner closely with engineering, data, design, and AI/ML teams to translate product intent into actionable requirements while successfully navigating technical constraints in product decisions





Establish realistic expectations with clients and stakeholders regarding AI capabilities and limitations, communicating benefits, risks, and trade‑offs in clear, accessible language

Actively mentor fellow Product Managers and elevate the team's practical artificial intelligence proficiency by leading through daily example

Requirements

Minimum of 5 years of professional experience in Product Management, successfully managing one or more products end to end through post‑launch maintenance and support

Demonstrated history 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 tools

Strong ownership of product strategy, vision, roadmapping, market analysis, and product visioning, with proven ability to identify and justify high‑value artificial intelligence opportunities

Extensive experience managing backlogs, cross‑product dependencies, release cycles, product lifecycles, and ongoing customer support models

Comprehensive familiarity with product profitability, competitive positioning, pricing strategies, and the critical cost, latency, and quality trade‑offs shaping AI‑feature economics

Deep subject matter expertise across 3 or more business domains, enabling you to act as a trusted business‑domain subject matter expert

Solid working AI literacy covering 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 knowledge

Proven ability to influence diverse stakeholders up to the VP level and lead all critical aspects of complex product launches

Strong leadership capability to guide a team of Product Owners and Product Managers across a product line or family through the complete product lifecycle

Commitment to raising the team's practical AI proficiency by sharing verified working methods and coaching on requirements and evaluation criteria for AI features

Practical, daily utilization of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping,



and planning, paired with rigorous output verification

Demonstrated ability to identify and justify high‑impact AI opportunities within products, operational processes, customer experiences, and business outcomes

Comprehensive working AI literacy encompassing concepts, terminology, capabilities, and limitations at a product management depth

Proven experience defining rigorous requirements and use cases for AI features, incorporating evaluation criteria, quality bars, guardrails, and human oversight

Strong capability to evaluate AI outputs for quality, accuracy, risk, limitations, and overall user impact

Deep awareness of responsible‑AI principles covering data privacy, algorithmic bias, security, transparency, and human oversight

Demonstrated ability to collaborate effectively with engineering, data, design, and AI/ML development teams

Unwavering adaptability and commitment to continuous learning as AI tools and capabilities rapidly evolve

Fluent English communication skills at a B2 level or higher

Nice to have

Advanced hands‑on prototyping experience with AI builder tools achieving near‑production fidelity

Proven ability to build product manager agents and multi‑step automations streamlining research, backlog management, analytics, and communications

In‑depth understanding of AI‑feature economics, including cost, latency, and unit economics, alongside model lifecycle management covering drift, versioning, and vendor changes

Familiarity with emerging AI regulations such as the EU AI Act and relevant industry‑specific compliance rules

Direct prior experience successfully scaling and taking an AI‑powered product to production

We offer

International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award‑winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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📌 Product Manager (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México