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Key Responsibilities
Partner with Product, Business Development, and Dispatch stakeholders to develop and optimize weekly network and resource plans across people, trucks, and terminals
Build forecasting models to optimize fleet allocation, load management, and network efficiency against commercial and development demand.
Translate business problems into analytical frameworks and actionable recommendations that drive operational decisions
Scope and define business requirements for fleet allocation, scheduling, load management, and optimization tools in partnership with Product and Engineering teams
Create and manage weekly resource allocation schedules based on operational inputs and outputs (fleet allocation, load management, etc.) and network optimization tools
Develop performance metrics and dashboards to monitor utilization, identify constraints, and improve operational efficiency
Generate executive-ready analyses and recommendations on current and projected resource utilization, operational performance, and alignment to revenue plans
Identify constraints and proactively recommend tradeoffs across cost, service, and capacity
Apply logistics engineering principles to design and improve terminal layouts, routing logic, and resource flow
Develop a strong understanding of logistics partner needs, constraints, and service expectations to improve delivery and cost-effectiveness
Requirements
BS in Industrial Engineering, Economics, Mathematics, Statistics, Finance, Supply Chain, Operations Research, or a related quantitative field
5+ years of experience in logistics, supply chain, network planning, or operations strategy, with a focus on data analysis and network optimization.
Experience building forecasting, allocation, or optimization models
Advanced modeling skills in Excel or Google Sheets
Experience using logistics, planning, or analytics tools to support operational workflows
Experience using data to solve operational problems and influence business decisions
Strong communication skills with the ability to present insights to technical and non-technical audiences
Demonstrated ability to operate effectively in ambiguous, fast-changing
Strong judgment and ability to drive work from problem definition through execution
environments
Ability to influence cross-functional stakeholders and translate analysis into action
Experience in a high-growth tech or startup environment
Experience in SQL
Understanding of Lean Six Sigma principles
Familiarity with Looker, Tableau, or similar BI tools
Experience collaborating with engineering or product teams to develop operational tools
Interest in transportation, logistics, or autonomous vehicle operations
The base salary range for this position is $104,000 - 150,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
#LI-KM23
#Mid-Senior
Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom .
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