AI Product Manager

Position Summary: The AI Product Manager defines and delivers artificial intelligence products and capabilities that improve operational efficiency, decision-making, customer experience, and employee productivity. This role partners with business and technology teams to identify high-value opportunities, translate business needs into clear product requirements, and guide AI solutions from discovery through adoption and continuous improvement. The position also helps establish responsible AI practices, measurable outcomes, and scalable product standards across ProTrans International’s U.S. and Mexico operations.

Key Responsibilities:

• Partner with business leaders and users to identify, prioritize, and validate AI use cases based on customer need, business value, technical feasibility, data readiness, risk, cost, and strategic alignment.
• Identify and deliver AI solutions supporting transportation management, shipment visibility and execution, pricing, carrier performance, customer service, exception management, document processing, and operational automation.
• Translate business problems into product requirements, user stories, acceptance criteria, model inputs and outputs, fallback logic, process changes, and measurable success criteria.
• Partner with data engineering, analytics, data science, architecture, and security teams to define requirements for data quality, availability, governance, labeling, pipelines, and feedback loops.
• Design and oversee discovery, experiments, proofs of concept, pilots, controlled rollouts, launch planning, adoption, and continuous improvement.
• Define and monitor business and AI performance measures, including adoption, customer satisfaction, operational efficiency, return on investment, model accuracy, precision, recall, error and hallucination rates, reliability, latency, and drift, as applicable.
• Establish responsible AI controls covering privacy, security, fairness, explainability, data protection, human oversight, transparency, acceptable use, deployment thresholds, and regulatory compliance.
• Evaluate build-versus-buy-versus-partner options and guide selection of AI platforms, vendors, copilots, automation tools, and custom solutions.
• Work with engineering and data science teams on model evaluation, production readiness, versioning, monitoring, rollback and fallback plans, and ongoing model lifecycle management.
• Develop strategies that increase user trust, understanding, transparency, adoption, and effective use of AI-enabled solutions through communication, documentation, education, and change management.
• Communicate product vision, trade-offs, progress, performance, risks, and launch plans to senior leaders, delivery teams, users, and external partners.

Minimum Requirements:

• 3-5 years of product management, technology product ownership, business systems, or related experience, including experience delivering data-driven or AI-enabled products preferred.
• Experience defining product strategy and roadmaps, conducting customer discovery, managing backlogs, writing requirements, prioritizing features, and leading cross-functional delivery.
• Working knowledge of machine learning concepts, supervised and unsupervised learning, model evaluation, generative AI, large language models, AI agents, retrieval-augmented generation (RAG), prompt engineering, vector search, APIs, intelligent automation, and cloud AI services.
• Understanding of data pipelines, data quality, training and evaluation data, feedback loops, model limitations, experimentation, monitoring, drift, and probabilistic system behavior.
• Ability to evaluate AI opportunities, explain technical concepts to business audiences, and balance customer value, usability, cost, technical feasibility, data readiness, scalability, and risk.
• Experience with product analytics, experimentation, A/B testing, KPI definition, value realization, or benefit tracking preferred.
• Experience with responsible AI, AI governance frameworks, data privacy, security, model risk, compliance, or regulated technology environments preferred.
• Familiarity with SQL, Python, data visualization tools, Azure AI or comparable cloud AI platforms, and product management tools preferred; hands-on model development is not required.
• Strong analytical, organizational, facilitation, communication, change-management, and stakeholder-management skills.
• Transportation, logistics, supply chain, freight management, carrier management, or operations experience preferred; bilingual English/Spanish preferred.

Education and Experience:

• Bachelor’s degree in Product Management, Business, Information Technology, Computer Science, Data Science, Engineering, or a related field, or an equivalent combination of education and experience.
• Relevant product management, agile, cloud, data, or AI certification preferred.

This role does not provide direct supervision to direct reports.

Supervisory Responsibilities: This role does not provide direct supervision to direct reports.

Competencies:

• AI Product Strategy, Portfolio & Lifecycle Management
• Customer Discovery, Market Analysis & Business Value Prioritization
• Data Strategy, Analytics & AI/ML Fluency
• Experimentation, Model Evaluation & Product Analytics
• Responsible AI, Security, Privacy & Data Protection
• Agile Delivery & Cross-Functional Leadership
• Build-Buy-Partner & Vendor Management
• Executive Communication & Stakeholder Alignment
• Change Management, User Trust & Adoption
• Transportation & Logistics Process Understanding

Travel:

• 0-25%

Language Skills: This role requires superior verbal and written communication skills in English (Spanish is also preferred).

Physical Demands: This position requires the ability to work with a computer for long periods of time.

Disclaimer:

The above job description is not designed to contain a comprehensive listing of all activities, duties or responsibilities that are required of the position. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.

The online version of all job descriptions is controlled by HR. Therefore, any printed version of a job description is considered an unofficial copy.