> Markdown version of [/jobs/ext/4693228-engineering-manager-optimization-decision-systems](https://www.wearedevelopers.com/jobs/ext/4693228-engineering-manager-optimization-decision-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager, Optimization & Decision Systems - **Company:** Crane Worldwide Logistics - **Location:** Houston, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, IBM ILOG CPLEX Optimization Studio (CPLEX), Information Engineering, Integer Programming, Python (Programming Language), Linear Programming, Machine Learning, Software Engineering, Systems Integration, Enterprise Software Applications, Information Technology, Optimization Algorithms, Multi-objective Optimization, Programming Languages - **Published:** November 12, 2026 - **Apply:** https://dejobs.org/x/x/2A48B526230A4848A94A88064160F2E7/job/ ## About the Role * 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., * 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 ## Description * 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.