Technical product Manager

• Own product roadmap, and backlog for Platforms spanning across AI, Data, Agentic, and UX enablement capabilities across CNPF.
• Translate business objectives, customer needs, and technology opportunities into actionable product plans and measurable outcomes.
• Drive internal stakeholder engagement, and requirements gathering across engineering, product, data, UX, architecture, and business teams.
• Define and prioritize epics, features, user stories, and acceptance criteria based on customer value, business impact, technical feasibility, and strategic alignment.
• Lead roadmap planning, release planning, backlog refinement, and prioritization activities across multiple teams and products.
• Own product decisions and trade-offs while balancing short-term delivery goals with long-term platform strategy.
• Partner closely with engineering and architecture leaders to shape scalable, reusable, and secure platform capabilities.
• Provide product leadership for AI & Agentic Systems, Data Platforms, API Products, Cloud-Native Architectures, and Platform Engineering initiatives.
• Drive technical discussions, architecture reviews, and solution direction with a strong understanding of engineering constraints and opportunities.
• Identify opportunities for platform reuse, standardization, automation, and developer productivity improvements.
• Lead cross-functional alignment across product, engineering, UX, data, security, operations, and executive stakeholders.
• Communicate product strategy, roadmap progress, risks, dependencies, and business outcomes to senior leadership.
• Establish success metrics, adoption goals, and KPI frameworks to measure product effectiveness and value realization.
• Foster a culture of customer obsession, continuous learning, experimentation, and innovation.
• Product-minded and technically credible with the ability to earn trust from engineers, architects, and executives alike.
• Passionate about AI, data, platform strategy, and emerging technologies.
• Comfortable operating in ambiguity, defining new products, and creating clarity where none exists.
• Strong analytical and problem-solving skills with the ability to evaluate technical and business trade-offs.
• Focused on outcomes, customer value, adoption, and measurable business impact rather than feature delivery alone.
• Demonstrated ability to influence without authority and drive execution across large, distributed organizations.
• Experience building and scaling enterprise platforms, developer tools, data products, AI solutions, or shared capabilities serving multiple teams and products

Hybrid- CDMX. Guadalajara

Advanced english

For now, the candidates will need to go to office 1-2 days in a week. could be CDMX or Guadalajara

Mastercard Mexico City office is located at Av. Paseo de la Reforma 250, Torre A, 22nd Floor, Col. Juárez, Cuauhtémoc, 06600 Ciudad de México, CDMX,