Job Description

What you’ll need to succeed as a Product Manager at XPO

Minimum qualifications:

• Bachelor’s degree or equivalent, related work or military experience

• 1 year of experience in leading technology-related product activities, positioning products, and partnering with business stakeholders

• Strong communication skills with a knack for translating complex concepts into clear business insights
• Experience supporting pricing, revenue management, or optimization tools.

• Familiarity with AI/ML concepts, including supervised learning, reinforcement learning, and model evaluation.

Preferred qualifications:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
• A Master’s or PhD in Computer Science, AI, Data Science, or a related quantitative field
• 4+ years of experience as a Product Manager in a tech-driven environment, with at least 2 years supporting pricing, revenue management, or optimization tools.
• Deep understanding of LTL transportation or freight pricing models is strongly preferred.
• Experience working with pricing engines or decision support platforms (e.g., PROS, Vendavo, Revenue Management tools).
• Knowledge of API integration, enterprise architecture, or cloud platforms (e.g.,GCP, AWS, Azure).
• Familiarity with SQL or Python for querying data or validating model outputs.

About the Product Manager job

Pay, benefits and more:

• Competitive compensation package 
• Full health insurance benefits available on day one 
• Life and disability insurance 
• Earn up to 15 days of PTO over your first year  
• 9 paid company holidays 
• 401(k) option with company match 
• Education assistance 
• Opportunity to participate in a company incentive plan 

What you’ll do on a typical day:

• Collaborate with cross-functional teams to define a thoughtful, detailed and executable roadmap for new features, releases and products
• Support Pricing to help drive the AI software integration roadmap in pricing and sales. You will oversee the product development across all pricing and sales applications where we are looking to implement AI/agentic workflows (Athena, Artemis, Dynamic Pricing, RFP, etc.).
• Write business cases, perform ROI analyses, and prioritize and write user stories; partner with development team to break things down and plan them into releases
• Own the product vision and roadmap for AI-driven pricing optimization tools, aligning with business objectives across pricing, sales, and operations.
• Partner closely with data science teams to define, deploy, and continuously improve machine learning models used for:
  • Dynamic pricing and rate recommendation engines
  • Demand forecasting
  • Customer segmentation and behavior prediction
  • Margin optimization

• Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges
• Work with engineering to integrate predictive models into production systems, ensuring real-time decision support and system reliability.
• Collaborate with stakeholders to identify pricing pain points that can be addressed through AI or automation.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO. 

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 

The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. 

Review XPO's candidate privacy statement here .

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