Technical Product Manager

Epikso Mexico; Xico; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Epikso Mexico seeks a Technical Product Manager with strong experience in AI, data platforms, and cloud-native architectures. You will own roadmaps, coordinate with engineering, data, and UX teams, and drive measurable outcomes across AI, data, and platform initiatives.

You will translate business objectives into actionable plans, manage epics and stories, and balance short-term delivery with long-term platform strategy in a hybrid CDMX environment.

Formación

• Experience translating business needs into actionable product plans.
• Ability to lead multiple teams across AI, data, and platform domains.
• Strong analytical and problem-solving skills for trade-offs.

Responsabilidades

• Own product roadmap and backlog for AI, data, and platform products.
• Translate objectives into epics, features, and user stories.
• Lead planning, release, and prioritization with cross-functional teams.
• Define metrics and measure product impact and outcomes.
• Collaborate with engineering, data, UX, and security stakeholders.

Conocimientos

AI

GenAI

Agentic AI

Data Platforms

Data Products

Cloud-Native Architecture

APIs

Platform Engineering

Roadmap Management

Backlog Management

Herramientas

Jira

Confluence

Descripción del empleo

We are looking for a Technical Product Manager with +6 YOE

Advanced English level

Hybrid CDMX!

?Technical Product Manager with strong expertise in:

• AI / GenAI / Agentic AI
• Data Platforms & Data Products
• Cloud-Native Architecture
• APIs & Platform Engineering
• Product Roadmap & Backlog Management

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.