Pricing Engineer

Roadrunner’s Smart Long Haul is revolutionizing the industry with significant investments in technology, a culture of continuous improvement, and intelligent and efficient direct routing. A Top 100 Trucking company by Inbound Logistics and a Top Tier Service Carrier by Mastio, Roadrunner is an LTL industry leader on the rise.

As a long-haul, metro-to-metro LTL carrier, Roadrunner offers more direct routes than any other nationwide Less-than-Truckload carrier in the United States. With a nationwide presence, terminals across 40+ markets, and more than $400 million in revenue, the company’s Smart Long-Haul Network is the preferred choice for shippers looking to move freight quickly and reliably.

Roadrunner is growing and looking for a highly motivated Pricing Engineer to join our winning team. If you are results driven and looking for a rapidly growing company with high growth and earnings potential, apply today!

We Run Safe. We Run Smart. We Run Together.

Job Description

Summary:

This role is built for someone with strong analytical horsepower and high curiosity.

You may come from engineering, mathematics, statistics, or a quantitative field. What matters is your ability to break down complex problems, work with data at a deep level, and apply mathematical reasoning to real business decisions.

You will support both day-to-day pricing execution and, over time, contribute to more strategic initiatives: identifying patterns, solving problems, and helping shape pricing decisions across the business.

You will work in a fast-paced environment with real deadlines and high expectations. There is no micromanagement here. Output and ownership matter.

Critical

Job Functions:

Execute pricing work with speed and accuracy

Analyze customer and market data to develop pricing recommendations

Support bids for direct customers and 3PLs, balancing yield and network capacity

Build and maintain pricing models using Excel and internal systems

Manage daily workflow independently

Process incoming pricing requests from Sales through internal systems

Ensure accuracy, speed, and consistency across deliverables

Manage multiple priorities and deadlines without constant oversight

Solve problems and identify gaps Recognize data inconsistencies, investigate and identify root causes

Apply logical and statistical reasoning to support pricing decisions

Propose solutions and recommendations

Support pricing decisions

Support pricing initiatives and projects that impact margin and growth

Identify trends in customer behavior, pricing performance, and market shifts

Help improve tools, processes, and pricing logic

Collaborate cross-functionally

Partner with Sales, Operations, and leadership to align pricing decisions

Participate in customer discussions when needed, supporting pricing insights

Job Requirements:

Bachelor’s degree in Engineering, Mathematics, Statistics, Data Analytics, or a related field

Strong foundation in mathematics, statistics, or quantitative analysis3+ years of experience in analytics, engineering, or data-focused roles

Ability to work with large datasets, identify patterns, and build logical models

Experience applying quantitative reasoning to real-world problems

Strong Excel skills (pivot tables, advanced formulas required)
Exposure to SQL (ability to write queries preferred)
Familiarity with Microsoft Access or similar tools is a plus Exposure to Python, R, or other programming languages is a plus Exposure to AI, machine learning, or data experimentation is a strong plus.

More important than tools:

Strong problem-solving ability and analytical thinking

High curiosity and willingness to learn quickly

Ability to work independently and manage deadlines

Clear communication: can explain the “why” behind the numbers

Work ethic: you take ownership and follow through

Core Competencies Analytical thinking

Problem solving and pattern recognition

Ownership and accountability

Learning agility

Data interpretation and storytelling

Attention to detail

Cross-functional collaboration

This role requires strong quantitative thinking. If your experience is primarily executing tasks without deeply understanding the data behind them, this role will not be a fit.

Physical…