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Entellux 路 Mexico

Technical Product Manager

seniorcontractPosted 7 days ago
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Stack mentioned

generative-aiagentic-aia/b-testing

We are looking for an experienced Technical Product Manager with strong expertise in:

馃 AI / GenAI / Agentic AI

馃搳 Data Platforms & Data Products

鈽侊笍 Cloud-Native Architecture

馃敆 APIs & Platform Engineering

馃搶 Product Roadmap & Backlog Management

Description

- 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.

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