Job description

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 you're looking for a place where people genuinely matter, you've 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 RLX's 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 didn't 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 doesn't understand variable labor or peak-season realities. 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 don't stop at a clever model — you carry it through to pricing that actually protects RLX's 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 isn't 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, you're 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 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 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 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 successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to communicate effectively with coworkers and outside stakeholders in person, on the telephone, and via email and other computer-related messaging. The employee is occasionally required to maneuver about the work areas and move/manipulate various objects, and there may be an occasional need to lift up to 50 pounds. This position requires approximately 20% travel, primarily to support new account start-ups, complex client implementations, and locations needing additional operational assistance, and may require extended work hours. Equal Employment Opportunity: [Placeholder — insert RLX's official EEO statement here.] Riverstone Logistics provides equal employment opportunity to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, or any other status protected by applicable law. Note This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship.

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Must-haves

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.
Who You Are ("The Ideal Candidate")
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 don't stop at a clever model — you carry it through to pricing that actually protects RLX's 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 isn't 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, you're 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 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 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.

Nice-to-haves

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Keywords to mirror

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Platform: clearcompany
Effort: medium