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Engineering Manager, Optimization & Decision Systems

Role overview

Summary

This role focuses on leading a team to develop and implement optimization solutions that enhance Crane's logistics operations. You will collaborate with various teams to drive algorithmic decision-making and prioritize initiatives that align with business strategy.

Qualifications

  • Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related quantitative field.
  • 8+ years of relevant experience in mathematical optimization, Operations Research, or quantitative engineering, including 3+ years leading technical teams.
  • Strong expertise in mathematical modeling, optimization algorithms, Python or a comparable programming language, and optimization solvers.
  • Experience delivering production-grade software, APIs, or services, with strong software engineering, scalability, and system integration fundamentals.
  • Excellent communication, stakeholder management, and technical leadership skills.

Responsibilities

  • Build, mentor, and lead a high-performing team of optimization engineers and quantitative specialists.
  • Lead the design and implementation of mathematical models and algorithms using various optimization methods.
  • Deliver reliable, scalable optimization solutions using Python and relevant tools, integrating them into enterprise systems.
  • Partner with cross-functional teams to identify opportunities and operationalize algorithmic decision-making.

Key facts

Hard skills

Other skills

  • Forecasting
  • Communication
  • Team Leadership
  • Collaboration
  • Accountability

About the company

Crane Worldwide Logistics logo

Crane Worldwide Logistics

  • Logistics & Supply Chain
  • 1,001–5,000
The vision of Crane Worldwide is to enable global trade for our clients with unparalleled excellence, foster a culture of achievement among our team members, and uplift the communities where we operate. Every day, we endeavor to create a positive influence and aspire to leave a lasting legacy in the logistics industry, improving the lives of people globally. With a legacy in logistics, our people's expertise, deep industry knowledge, and can-do attitude make a difference to our global and local clients. As a privately owned, family-run business, we have a flat structure that enables quick decision-making. This enables the team to provide the best solutions for our clients. Partnerships make a difference, and through organic growth with our clients, we have developed a global footprint with local representation and continue to grow. We will invest where our clients need us to be. Our technology platform was developed in-house with a holistic view of our clients' needs for real-time information. We make a difference in the communities in which we operate. Our Crane Cares initiatives are deeply embedded into our corporate culture. We are living in extraordinary times with constant change in global markets. Our flexible and dynamic approach, accompanied by our value proposition, presents our dedication to our clients through our Technology, Service, and People.

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Job description

Essential Job Functions

  • Team Leadership: Build, mentor, and lead a high-performing team of optimization engineers and quantitative specialists, fostering technical excellence, collaboration, accountability, and strong software engineering practices.
  • Optimization & Technical Strategy: Lead the design and implementation of mathematical models and algorithms using linear programming, mixed-integer programming, constraint programming, combinatorial optimization, and heuristic methods.
  • Production Engineering: Deliver reliable, scalable optimization solutions using Python and tools such as Google OR-Tools, Gurobi, or CPLEX, integrating them into enterprise systems and automated workflows.
  • Cross-Functional Collaboration: Partner with AI and Automation Engineering, Data Engineering, and business stakeholders to identify opportunities, define requirements, and operationalize algorithmic decision-making.
  • Business Impact & Strategy: Prioritize initiatives based on business value and technical feasibility, measure outcomes, and establish a roadmap for reusable optimization capabilities that advance Crane’s strategy as an algorithmically driven logistics organization.

 Physical Requirements

  • Job may require extended sitting or standing, use of standard office equipment.
  • Job requires the ability to use vision, adjust focus and work on a standard computer screen.
  • Use of audio-visual equipment is required.
  • Job mey require punctual attendance and regular presence on-site at the assigned work location.

Education & Experience

  • Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related quantitative field.
  • 8+ years of relevant experience in mathematical optimization, Operations Research, or quantitative engineering, including 3+ years leading technical teams.
  • Proven success developing and deploying optimization solutions with measurable business impact.
  • Strong expertise in mathematical modeling, optimization algorithms, Python or a comparable programming language, and optimization solvers.
  • Experience delivering production-grade software, APIs, or services, with strong software engineering, scalability, and system integration fundamentals.
  • Excellent communication, stakeholder management, and technical leadership skills.
  • Authorization to work in the United States on an ongoing, full-time basis without current or future employer sponsorship.

Other Skills and Abilities

  • Advanced degree in a relevant quantitative discipline.
  • Experience in logistics, transportation, supply chain, pricing, or revenue management.
  • Experience building optimization teams, deploying cloud-based solutions, and integrating enterprise systems.
  • Knowledge of forecasting, simulation, statistical modeling, machine learning, stochastic optimization, or multi-objective optimization.
  • Experience presenting technical strategies and business outcomes to executive leadership and supporting geographically distributed teams.

CERTIFICATIONS AND LICENSES

  • Professional certification may be required in some cases

WHY SHOULD YOU WORK FOR CRANE?

At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:

  • Quarterly Incentive Plan
  • 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
  • Excellent Medical, Dental and Vision benefits
  • Tuition Reimbursement for education related to your job
  • Employee Referral Bonuses
  • Employee Recognition and Rewards Program
  • Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
  • Employee Discounts
  • Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

Come join the leader in logistics and take your career in the right direction.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

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.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This position requires the final candidate to successfully pass an E-Verify Check.

More Information: http://www.dhs.gov/e-verify 

Company benefits are contingent upon meeting eligibility requirements and plan conditions.

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