- Algorithmic Leadership: Take end-to-end technical ownership of complex
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.
- Architecture & Scalability: Partner with software architects to integrate
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.
- Solver Tuning & Optimization: Bench-test, profile, and tune commercial solvers
(e.g., Gurobi, CPLEX, Google OR-Tools) to dramatically improve performance, solve times, and memory footprint under strict application SLAs.
- Technical Mentorship: Act as a force multiplier by mentoring senior and junior
engineers/scientists. Establish code review standards and run design sessions to elevate the team's mathematical and engineering practices.
- Cross-Functional Collaboration: Work closely with Product Managers and Senior
Engineering leaders to define feature requirements, translate business objectives into technical specifications, and manage algorithmic trade-offs.
- Empirical Validation: Design robust validation frameworks and simulation
environments to thoroughly test model behavior, ensuring stability and mathematical correctness against highly variable, messy real-world data.