We're growing our product management function tasked with advancing AI-powered offerings and weaving artificial intelligence throughout every phase of the product journey. As a Senior Product Manager | Applied AI, you'll take charge of the vision, strategy, roadmap, and complete delivery of several products—with at least one being AI-driven—while applying AI consistently to speed up your work, improve decision-making, and guide fellow Product Managers
Hold full accountability for the vision, strategic path, roadmap execution, and complete delivery of one or more products, with at least one powered by artificial intelligence Specify clear requirements and use cases for AI functionality by approaching them as probabilistic systems, setting data boundaries, use-case alignment, evaluation benchmarks, quality thresholds, safety measures, and human-in-the-loop checks as acceptance criteria Spot strategic chances where AI can boost product worth, customer experience, internal operations, and business results while developing and scaling solid business cases for execution Apply AI tools effectively and with careful oversight throughout product discovery, research synthesis, data analysis, documentation, user story writing, prototyping, and planning, always confirming outputs before trusting them Rank product features, manage product backlogs, and supervise release cycles, using AI-supported analytics to complement rather than substitute human judgment Handle the full product lifecycle, factoring in the distinct operational realities of AI features like model and version updates, quality drift, and continuous human monitoring Work closely alongside engineering, data, design, and AI/ML teams to turn product intentions into concrete requirements while effectively managing technical limitations in product choices Set grounded expectations with clients and stakeholders around AI capabilities and constraints, explaining benefits, risks, and trade-offs using plain,



understandable terms Guide fellow Product Managers and raise the team's hands-on AI competency by demonstrating practical application daily At least 5 years of professional Product Management experience, having successfully run one or more products from start through post-launch support Clear history of bringing multiple products or significant features to market, including direct experience delivering or substantially improving AI-powered products or features such as generative AI, machine learning, recommendation systems, search algorithms, or automation tools Strong command of product strategy, vision, roadmapping, market analysis, and product visioning, with demonstrated skill in spotting and justifying valuable AI opportunities Broad experience managing backlogs, cross-product dependencies, release cycles, product lifecycles, and continuing customer support structures Thorough understanding of product profitability, competitive positioning, pricing approaches, and the key cost, latency, and quality trade-offs that shape AI-feature economics Strong subject matter knowledge across 3 or more business domains, positioning you as a credible business-domain expert Functional AI literacy covering present-day AI and generative AI/LLM capabilities, dependable limits, common patterns,



and typical failure points to support sound product decisions and credible technical conversations without needing model-building skills Demonstrated capacity to influence varied stakeholders up through VP level and steer every critical component of complex product launches Solid leadership skill to direct a team of Product Owners and Product Managers across a product line through the entire product lifecycle Dedication to boosting the team's practical AI skill by sharing proven methods and coaching on requirements and evaluation standards for AI features Consistent, daily use of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, combined with careful output checking Proven skill in identifying and justifying high-value AI opportunities within products, operational workflows, customer experiences, and business results Thorough functional AI literacy covering concepts, terminology, capabilities, and limitations at a product management level Demonstrated experience defining precise requirements and use cases for AI features, including evaluation standards, quality thresholds, guardrails, and human oversight Strong ability to assess AI outputs for quality, accuracy, risk, limitations, and overall effect on users Solid grasp of responsible-AI principles spanning data privacy, algorithmic bias, security, transparency, and human oversight Demonstrated capability to work effectively alongside engineering, data, design, and AI/ML development teams Strong adaptability and dedication to ongoing learning as AI tools and capabilities continue evolving rapidly Fluent English communication abilities at a B2 level or higher Advanced hands-on experience prototyping with AI builder tools to achieve near-production quality Demonstrated skill building product manager agents and multi-step automations that streamline research, backlog management, analytics, and communications Thorough understanding of AI-feature economics, including cost, latency, and unit economics, plus model lifecycle management covering drift, versioning, and vendor transitions Awareness of developing AI regulations such as the EU AI Act and relevant industry-specific compliance requirements Prior direct experience successfully scaling an AI-powered product into production

📌 Product Manager (México)
🏢 Epam Systems
📍 México