We are scaling our product team to build AI-powered products and weave artificial intelligence into every phase of product delivery. As a
Product Manager
, you will drive vision, roadmap, and launches for multiple products, including at least one AI-based solution, using AI daily to improve research and planning.
Own the 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 Create precise requirements and use cases for AI features as probabilistic products, setting data scopes, use-case fit, evaluation criteria, quality thresholds, safety guardrails, and human-in-the-loop review mechanisms as acceptance standards Evaluate where artificial intelligence can raise product value, customer experience, internal processes, and business outcomes, and develop and size rigorous business cases for implementation Use AI tools productively with disciplined oversight across product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, always verifying outputs before relying on them Drive feature prioritization, maintain product backlogs, and manage release cycles, applying AI-assisted analytics to support rather than replace human decision-making Run the full product lifecycle while incorporating AI operational needs such as model and version changes, quality drift, and ongoing human oversight Partner with engineering, data, design, and AI/ML teams to translate product intent into actionable requirements and navigate technical constraints in product decisions Align clients and stakeholders on AI capabilities and limitations, communicating benefits, risks, and trade-offs in clear, accessible language Mentor fellow Product Managers and increase the team's practical artificial intelligence proficiency by leading through daily example Minimum 5 years of professional experience in Product Management,



successfully managing one or more products end to end through post-launch maintenance and support Track record 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 with backlog management, 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 Working AI literacy across 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 Daily use of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, 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 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

📌 Product Manager (México)
🏢 Epam Systems
📍 México