AI Product Manager for Logistics AI Solutions

ProTrans International Holdings

Monterrey

On-site

MXN 700,000 - 1,000,000

Full time

44 hours ago
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Job summary

ProTrans International Holdings in Monterrey, MX, is seeking an AI Product Manager to define and deliver AI products that boost efficiency, decision-making, and customer experience. You will partner with business and tech teams to translate needs into clear product requirements and guide AI initiatives from discovery through adoption.

The role requires strong product management experience, familiarity with ML concepts, data pipelines, and responsible AI practices.

Qualifications

  • Bachelor’s degree in a related field or equivalent experience.
  • Relevant product management, agile, cloud, data, or AI certification preferred.

Responsibilities

  • Identify, prioritize, and validate AI use cases based on business value and feasibility.
  • Define product requirements, user stories, acceptance criteria, and measurable success criteria.
  • Partner with data engineering, analytics, data science, and security teams on data quality and governance.
  • Design discovery, pilots, and adoption plans.
  • Communicate product vision and status to leadership and stakeholders.

Skills

Product management
Cross-functional leadership
Agile delivery
Stakeholder management
Change management
Data-driven decision making
Communication skills
Analytical thinking

Education

Bachelor’s degree in Product Management, Business, Information Technology, Computer Science, Data Science, Engineering

Tools

Azure AI
SQL
Python
Data visualization tools

Job description

ProTrans International Holdings in Monterrey, MX, is seeking an AI Product Manager to define and deliver AI products that boost efficiency, decision-making, and customer experience. You will partner with business and tech teams to translate needs into clear product requirements and guide AI initiatives from discovery through adoption.

The role requires strong product management experience, familiarity with ML concepts, data pipelines, and responsible AI practices.

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