Senior Fleet Planner
Aurora InnovationDallas, Texas$104k – $150kPosted 27 March 2026
Job Description
Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn .
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. Aurora is seeking a Senior Fleet Planner to join the Operations Excellence team in Dallas, TX. In this role, you will lead the planning and analysis of our logistics network, resource allocation, and load scheduling strategies to optimize efficiency and profitability. You will partner cross-functionally to translate operational challenges into scalable, data-informed solutions that support both commercial and development priorities. This role requires strong analytical skills combined with business acumen.
This is an in-office role operating Monday–Friday, 6:00 AM to 2:00 PM CT.
In this role, you will:
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
Required Qualifications:
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
Desired Qualifications:
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 devel ... (truncated, view full listing at source)
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