Operations Research Engineer - OR-Tools (Workforce Scheduling)

Design, build, and tune workforce scheduling optimization models using Google OR-Tools (or equivalent constraint programming / mixed-integer optimization toolkits).

Work directly with product and engineering to integrate the optimization engine into the broader WFM platform, consuming live data (call volumes, agent performance, real-time status) from Amazon Connect.

Participate in design discussions and iterate on model performance against real adoption and usability feedback, not just theoretical accuracy.

Document modeling assumptions and tradeoffs clearly enough for a non-OR engineering team to maintain the system long-term.

6 10 years combined experience in operations research, optimization engineering, or applied algorithms - including hands-on production use of OR-Tools or a comparable solver (CPLEX, Gurobi, OptaPlanner).

Demonstrated experience modeling scheduling, rostering, or resource-allocation problems - workforce/contact-center scheduling experience is a strong plus but general scheduling/logistics optimization background is acceptable.

Strong software engineering fundamentals - able to integrate optimization code into a production full-stack platform, not just deliver notebooks or standalone scripts.

Comfortable working in a cloud-native stack (AWS, Kubernetes, Docker).

Must be based in and eligible to work remotely within the United States.

Prior Workforce Management (WFM) software development experience.

Familiarity with contact center operations (service levels, shrinkage, Erlang-based staffing models) as context for the optimization work.

Sourcing & Screening Notes (Internal)

Hard requirement seat - do not substitute general "data science" or ML candidates without explicit constraint-programming/solver production experience.

Only 2 seats - prioritize depth of OR-Tools expertise and ability to explain prior scheduling/optimization work concretely over general seniority alone.

Resumes on request; interviews to be scheduled post-submission per client process.