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Coupa

Principal Operations Research Scientist(Gurobi/CPLEX/Xpress)(Python/Java/C++/C#/ Go)(12+years) - 11780

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Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

The Impact of Principal Operations Research Scientist to Coupa:

At Coupa, we are building the smartest Business Spend Management (BSM) platform in the world. Our Supply Chain and Sourcing engineering teams develop advanced tools that help global enterprises design resilient supply chains, optimize procurement events, and maximize the value of every dollar spent. The Operations Research team is at the heart of this mission. As a Principal Operations Research Scientist, you will act as the principal hands-on architect for our core optimization engines, driving technical excellence and turning complex mathematical theories into scalable, production-ready enterprise software.

What You’ll Do

optimization features. Formulate, prototype, and implement advanced

mathematical models (MIP, LP, NLP, Network Flow, and custom heuristics) to

solve strategic sourcing and supply chain challenges.

optimization models into Coupa’s high-throughput, multi-tenant SaaS platform.

Ensure the code is modular, well-tested, and built to handle massive enterprise

datasets.

(e.g., Gurobi, CPLEX, Google OR-Tools) to dramatically improve performance,

solve times, and memory footprint under strict application SLAs.

engineers/scientists. Establish code review standards and run design sessions to

elevate the team's mathematical and engineering practices.

Engineering leaders to define feature requirements, translate business objectives

into technical specifications, and manage algorithmic trade-offs.

environments to thoroughly test model behavior, ensuring stability and

mathematical correctness against highly variable, messy real-world data.

What You Will Bring to Coupa

Applied Mathematics, Computer Science, or a closely related field.

deploying production-level optimization models in commercial environments at

scale.

authoring model formulations for commercial solvers (such as Gurobi, CPLEX, or

Xpress).

understanding of software design patterns and object-oriented programming.

algorithmic design.

mathematical behaviors to product and business leaders.

grade code.

level business constraints into structured, elegant algorithms.

collaborative, intellectually rigorous engineering culture.

and Strive for Excellence.

What Will Give You a Competitive Edge (Preferred Qualifications)

Production/Scheduling Optimization, Routing Optimization, Strategic

Procurement, and/or Logistics.

tandem with mathematical optimization models.

distributed computing environments.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

At Coupa, we are 100% committed to creating and nurturing an environment that supports your physical, mental, and community well-being. We offer a comprehensive suite of benefits designed to help you and your family thrive:

Global Well-Being Perks (For All Employees Globally)

Please note: In addition to these global well-being perks, Coupa offers highly competitive, location-specific benefits packages (which include comprehensive medical/dental insurance, retirement/pension plans, and life or accident protection) tailored to your primary work location. Your recruiter will walk you through the specific regional benefits package for this role during the interview process.

Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.

Please be advised that inquiries or resumes from recruiters will not be accepted.

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