20 oct
|
Epam Systems
|
México
20 oct
Epam Systems
México
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.
We're scaling up our product management team dedicated to driving AI-powered products and integrating artificial intelligence throughout the entire product lifecycle. As a Senior Product Manager | Applied AI, you'll lead the vision, strategy, roadmap, and delivery of several products—including at least one AI-driven offering—while using AI daily to speed up workflows, make better decisions, and guide fellow Product Managers
Responsibilities
- Maintain complete ownership over the vision, strategic direction, roadmap execution, and end-to-end delivery of one or more products, with at least one powered by artificial intelligence
- Define specific requirements and use cases for AI features by treating them as probabilistic products, establishing data scope, use-case suitability, evaluation standards, quality thresholds, safety safeguards, and human-in-the-loop review as acceptance benchmarks
- Uncover strategic opportunities where artificial intelligence can strengthen product value, customer experience, internal operations, and business results while developing and scaling well-founded business cases for implementation
- Leverage AI tools productively and with disciplined scrutiny across product discovery, research synthesis, data analysis, documentation, user story development, prototyping, and planning, always verifying outputs before relying on them
- Prioritize product features, manage product backlogs, and coordinate release cycles, using AI-supported analytics to reinforce rather than substitute human judgment
- Direct the comprehensive product lifecycle, accounting for the unique operational aspects of AI features including model and version changes, quality drift, and continuous human oversight
- Partner closely with engineering, data, design, and AI/ML teams to translate product vision into actionable requirements while effectively handling technical constraints within product decisions
- Establish realistic expectations with clients and stakeholders about AI capabilities and limitations, communicating benefits, risks, and trade-offs through clear and approachable language
- Guide fellow Product Managers and elevate the team's practical AI capability through consistent, hands-on leadership by example
Requirements
- A minimum of 5 years of professional Product Management experience, successfully managing one or more products from launch through post-launch maintenance
- Demonstrated success bringing multiple products or essential capabilities to market, including direct experience delivering or substantially improving 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 clear ability to identify and justify valuable artificial intelligence opportunities
- Broad experience managing backlogs, cross-product dependencies, release cycles, product lifecycles, and continuous customer support models
- Thorough familiarity with product profitability, competitive positioning, pricing strategies, and the vital cost, latency, and quality trade-offs shaping AI-feature economics
- Extensive subject matter expertise across 3 or more business domains, allowing you to operate as a trusted business-domain expert
- Functional AI literacy covering present AI and generative AI/LLM capabilities, dependable limitations, common patterns, and typical failure points to support sound product decisions and credible technical conversations without needing model-building knowledge
- Proven capacity to influence diverse stakeholders up to VP level and lead every critical aspect of complex product launches
- Strong leadership capability to direct a team of Product Owners and Product Managers across a product line through the full product lifecycle
- Firm commitment to elevating the team's practical AI proficiency by sharing verified approaches and coaching on requirements and evaluation standards for AI features
- Daily, hands-on use of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping,
and planning, combined with careful output verification
- Demonstrated skill identifying and justifying high-value AI opportunities within products, operational processes, customer experiences, and business outcomes
- Thorough functional AI literacy covering concepts, terminology, capabilities, and limitations at a product management depth
- Proven experience defining rigorous requirements and use cases for AI features, including evaluation criteria, quality benchmarks, guardrails, and human oversight
- Strong capability evaluating AI outputs for quality, accuracy, risk, limitations, and overall user impact
- Deep awareness of responsible-AI principles spanning data privacy, algorithmic bias, security, transparency, and human oversight
- Demonstrated ability to collaborate effectively with engineering, data, design, and AI/ML development teams
- Strong adaptability and ongoing commitment to 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 using AI builder tools to achieve near-production fidelity
- Proven ability to build product manager agents and multi-step automations that streamline research, backlog management, analytics, and communications
- In-depth understanding of AI-feature economics, including cost, latency, and unit economics, along with 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 general 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.
📌 Product Manager (México)
🏢 Epam Systems
📍 México