Solutions Engineer Supply Chain Modeling

Company Summary

Riverstone Logistics RLX is a big and bulky supply chain powerhouse delivering seamless final mile, middle mile, warehousing, fulfillment, and storage solutions through a nationally integrated platform. Founded in 2017 by five partners who believed logistics could be built around something bigger than moving freight, we began with furniture delivery and grew into a nationwide provider serving complex supply chains across the United States.

We are a purpose-driven company. We exist to use our God-given talents and opportunities to love our neighbors, serve our communities, and improve our industry. That purpose shapes how we lead our teams, how we partner with our customers, and how we take ownership of every delivery. Our people, who we call Extra Milers, bring genuine integrity and care to every mile. If you lead well, communicate with clarity, and want your work to mean something, we want to meet you. If youre looking for a place where people genuinely matter, youve found it.

Role Overview

Mission

The Solutions Engineer, Supply Chain Modeling, exists to turn messy client data into pricing and network designs that actually hold up on the warehouse floor - protecting RLXs margin and giving new accounts a clean start from day one.

Core Objective

To design highly accurate, executable logistics solutions that drive profitable pricing strategies while supporting Operations through complex network integrations, empowering Riverstone to be the first fully integrated coast-to-coast big & bulky logistics company in North America.

Who You Are

The Ideal Candidate

You likely didnt start your career in a traditional pricing or finance department. You probably cut your teeth in physical operations - running cross-docks, high-volume fulfillment, or inbound networks - and taught yourself SQL, Python, or data modeling because legacy WMS and TMS platforms were too slow to solve the constraints you were actually facing on the floor. We need an operational hacker who builds scalable data-driven solutions and executable financial models, not a desk-bound analyst who doesnt understand variable labor or peak-season realities.

We need someone who:

Key Characteristics We Are Looking For (Examples Below)

Operational Hacker

• You came up through physical operations, not a finance desk, and you built your technical skills to solve real floor problems.

Margin-Minded

• You dont stop at a clever model - you carry it through to pricing that actually protects RLXs margin.

Floor-Tested

• You pressure-test every model against site-level reality before it ships because a routing assumption that dies on contact with the warehouse floor isnt a plan.

Builder Not Just User

• You use tools like AI workflows and multi-agent frameworks to move faster, and you help shape how the team uses them next.

Go the Extra Mile

• When a new account needs someone on the ground to make the model real, youre on the plane.

Essential Duties and Key Responsibilities

Supply Chain Solutions Modeling & Commercial Pricing

• Pull together fragmented client RFP data and historical shipment profiles using modern data tools (Python, SQL) to design optimized middle-mile and final-mile networks.
• Build logistics models that accurately forecast variable labor, facility utilization, and transportation costs, and translate those models into margin-protecting commercial pricing.
• Use and help shape internal AI workflows and multi-agent frameworks like Olympus as accelerators - not replacements - for processing large datasets and turning around client-facing financial proposals quickly.

Operational Alignment & Implementation

• Ground every modeled solution in physical execution reality, explicitly accounting for seasonal volume spikes, cross-dock bottlenecks, and aggressive SLA penalties.
• Partner directly with site-level leadership to pressure-test routing, headcount assumptions, and drop-trailer logic before they hit the warehouse floor.
• Serve as the technical bridge between commercial pricing models and post-launch operations, tracking actual margin realization against the original solution design.

Network Design & Start-Ups

• Support system setup, API integrations, and logic mapping for new enterprise accounts to get data flowing clean from day one.
• Partner with Operations during implementation to confirm workflows and cost controls match the original pricing model before go-live.
• Travel onsite for new account start-ups to validate network models, provide operational engineering support, and resolve local data or physical bottlenecks.

Required Qualifications

Education, Knowledge, Skills, and Abilities

• Background in physical operations - cross-docks, high-volume fulfillment, or inbound networks - rather than a purely desk-based analytics path.
• Working proficiency in SQL, Python, or similar data modeling tools.
• Experience building financial or pricing models that translate operational assumptions - labor, facility utilization, transportation cost - into commercial numbers.
• Comfort working with AI-assisted or multi-agent data workflows as tools that accelerate analysis, not a substitute for operational judgment.
• Willingness to travel onsite approximately 20% to support new account start-ups and resolve local implementation issues.
• Strong written and verbal communication skills with the ability to partner across commercial pricing and site-level operations teams.

Physical Demands and Work Environment

The physical demands described here are representative of those that must be met by an employee to