Roadie

HQ
Atlanta
260 Total Employees
Year Founded: 2014

Jobs at Roadie

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Recently posted jobs

3 Days AgoSaved
Remote
USA
Automotive • Software
Supports RoadieXD financial operations through billing validation, accounts payable tracking, month-end close, reconciliations, forecasting, budgeting, vendor contract analysis, and operating-metric reporting. Investigates discrepancies, analyzes costs and margins, maintains financial trackers, supports rebates and rate-card analysis, and partners with Finance, Accounting, AP, and Operations to improve processes and inform leadership decisions.
13 Days AgoSaved
Remote
USA
Automotive • Software
Serves as a strategic people partner to leaders across Roadie, owning employee relations, investigations, performance management, manager coaching, compliance, talent management, job architecture, engagement initiatives, and people analytics. Supports onboarding, benefits administration, HR systems, and day-to-day People Operations while helping scale programs and organizational effectiveness.
24 Days AgoSaved
Remote
USA
Automotive • Software
Design, build, and maintain scalable backend services and infrastructure for Roadie’s logistics platform. Identify performance bottlenecks, improve reliability, collaborate with Product, Data Science, and engineering teams, contribute to code reviews and technical practices, and own projects from concept through production.
One Month AgoSaved
Remote
USA
Automotive • Software
Build and maintain full-stack web applications, APIs, services, and internal tools supporting driver experiences, geospatial capabilities, cross-dock operations, and logistics platforms. Develop primarily with React, TypeScript, Go, and Ruby on Rails while contributing to scalable architecture, testing, reliability, performance, code reviews, and cross-functional delivery with Engineering, Product, and Operations teams.
One Month AgoSaved
Remote
USA
Automotive • Software
Build and maintain automated test infrastructure for data-science microservices, design and run test strategies, troubleshoot automation across environments, validate fixes, and collaborate with engineers to ensure reliable, scalable data products and ML model testing.