Manager, Logistics Engineering

Uber Freight; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health plan

Dental & Vision benefits

401(k) match

Equity awards

Parental leave

Disability coverage

Life insurance

Job summary

Uber Freight seeks a Manager, Logistics Engineering to lead cross-functional teams, apply optimization to client supply chains, and present strategic findings to executives. The role blends advanced modeling with leadership of engineers and contractors to deliver timely, high-impact recommendations.

The position requires a Master’s in Industrial Engineering, extensive analytics experience, and strong communication with senior stakeholders.

Qualifications

• Master's degree in Industrial Engineering or related field required.
• Certifications listed above are required or highly preferred.
• 5 years solving real-time transportation strategy problems via scenario analysis.
• 5 years presenting data to executive management with actionable recommendations.
• 5 years building and managing large SQL databases for relational data.
• 5 years BI using Tableau for large datasets and visualizations.
• 5 years building complex supply chain optimization models with Coupa SCM Guru.
• 5 years in Supply Chain and Transportation industries.
• 5 years leading large-scale optimization projects and managing timelines.
• 3 years of Google Cloud Platform tools (Composer, Data Fusion, BigQuery).
• 3 years coding in Python, C++, VBA, Gurobi, Simio.
• 3 years automating data analytics with Alteryx.
• 3 years using Generative AI / Agentic AI for content tasks.
• 3 years Google Workspace (Docs, Sheets, Slides).

Responsibilities

• Coordinate SME assignments with cross-functional teams and enforce milestones.
• Ensure deliverables meet customer expectations for timeliness and quality.
• Apply customer requirements to model within Uber Freight optimization framework.
• Use advanced modeling to optimize the client’s transport and distribution network.
• Leverage Uber Freight data and market knowledge for R&D purposes.
• Model client supply chains with commercial software and run scenario analyses for decisions.
• Manage logistics engineers and contractors to meet schedules and client communications.
• Present findings to client executive management and defend recommendations.

Skills

Project management

Cross-functional collaboration

Executive communication

Data-driven decision making

Transportation strategy

Problem solving

Education

Master of Science in Industrial Engineering or related field

Certified Coupa Supply Chain Design

Certified Coupa Network Optimization

Certified Coupa Vehicle Route Optimization

SAS Certified Base Programmer for SAS 9

SAS Certified Predictive Modeler

SAS Certified Statistical Business Analyst Using SAS 9

Tools

Coupa Supply Chain Guru

Tableau

SQL databases

Google Cloud Composer

Data Fusion

BigQuery

Python

C++

Gurobi

Simio

Alteryx

Job description

Job ID: 3303

Position Title: Manager, Logistics Engineering

Company/Employer: Uber Freight US LLC

Location: 3010 Gaylord Parkway, Suite 200, Frisco, TX 75034

JOB DUTIES AND RESPONSIBILITIES:

1. Coordinate SME (Subject Matter Expert) assignments with cross-functional teams, holding all participants accountable to project milestones and deadlines.
2. Ensure deliverables meet customer expectations in both timeliness and quality.
3. Apply customer’s operational requirements to model within the Uber Freight optimization framework.
4. Use advanced modeling to evaluate and optimize the customer’s transportation and distribution network.
5. Utilize Uber Freight market knowledge and leverage existing Uber Freight data for research and development purposes.
6. Use commercial software to model client’s supply chain networks and conduct scenario analyses to support key strategic decisions for the client.
7. Manage logistics engineers and contractors to ensure timely completion of scheduled tasks and communication with clients.
8. Present findings to the client’s executive management team, defending our recommendations and guiding them in devising future strategy for their company.

This position has the following direct reports:

• Logistics Engineer (2)
• Contractor (1)

MINIMUM EDUCATION/CERTIFICATIONS/EXPERIENCE REQUIREMENTS:

• Requires a Master of Science degree or foreign degree equivalent in Industrial Engineering or a directly related field of study.
• Requires the following certifications:

1. Coupa Supply Chain Design
2. Coupa Network Optimization
3. Coupa Vehicle Route Optimization
4. SAS Certified Base Programmer for SAS 9
5. SAS Certified Predictive Modeler Using SAS Enterprise Miner 7
6. SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling

• Requires the following experience:

1. 5 years of experience solving real-time problems within transportation strategy development through scenario analysis.
2. 5 years of experience presenting data and findings to executive management from client companies and providing plausible recommendations for future strategy.
3. 5 years of experience building and managing large SQL databases to store, transform, and manage relational data.
4. 5 years of experience building and managing business intelligence using Tableau to analyze large relational data sources and deliver reporting and visualizations.
5. 5 years of experience building complex supply chain optimization models using Coupa Supply Chain Guru optimization software.
6. 5 years of experience in the Supply Chain Management industry.
7. 5 years of experience in the Transportation industry.
8. 5 years of experience leading large-scale optimization projects.
9. 5 years of experience managing timelines, task completion, and internal project resources.
10. 5 years of experience facilitating effective communication with customers and ensuring project deliverables.
11. 5 years of experience in each of the following Microsoft Office programs: Word, PowerPoint, Excel, and Access.
12. 3 years of combined experience to include each of the following Google Cloud Platform Tools: Google Cloud Composer, Data Fusion, and Big Query.
13. 3 years of experience in each of the programming code languages: Python, C++, VBA, Gurobi, and Simio.
14. 3 years of experience automating data analytics to clean, prepare, and blend data using Alteryx.
15. 3 years of combined experience using Generative AI and Agentic AI to answer prompts and generate content with minimal human oversight.
16. 3 years of experience in each of the following Google Workspace programs: Docs, Sheets, and Slides.

• Experience may be gained concurrently.
• Hybrid position with 2-3 days a week remote work available. Must reside within commuting distance from the employer’s Frisco, TX office. Various unanticipated locations throughout the U.S.
• Requires at least 20% domestic travel to Uber Freight offices and customer sites.

Benefits & Compensation for U.S. Employees

Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.

About Uber Freight

Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.

Candidate Privacy Notice

Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.

EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.