Director of Engineering WFM Operations Research
Fidelity Investments is a privately held, Boston-headquartered financial services company providing investing, trading, retirement, wealth management, brokerage, workplace benefits, custody and clearing, and digital-asset services.
Maintainer signals as of 9/25/2026
About Fidelity Investments
Fidelity serves individual investors, employers, wealth-management firms, institutions, innovators, and charitable donors through diversified financial-services businesses. Current offerings include brokerage and trading, mutual funds and exchange-traded products, retirement and workplace savings, financial planning and advice, wealth management, institutional custody and clearing, and crypto/digital-asset products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own and build the constraint-solver foundation for workforce-management schedule optimization. You will design optimization models and algorithms, implement a production OR-Tools and CP-SAT service, validate quality and performance, integrate it with the platform, and communicate results to engineering and business stakeholders.
Requirements
- Bachelor's or master's degree in operations research, mathematics, computer science, or a related field
- 5+ years of operations research experience
- Production experience with OR-Tools, CP-SAT, or comparable constraint-programming or mixed-integer-programming solvers
- Linear programming, integer programming, or stochastic optimization
- Java, Python, or C++
- AWS, GCP, or Azure
- Large-scale optimization experience
- Workforce or resource scheduling experience
- Workforce management domain knowledge
- Distributed systems
- Event-driven architecture
Responsibilities
- Research, design, and develop optimization models for workforce planning, scheduling, and resource allocation
- Design and implement a schedule-optimization engine using OR-Tools and CP-SAT
- Own and formalize the end-to-end constraint model
- Build a production-grade solver service that meets latency targets
- Define, validate, and monitor schedule-quality metrics
- Test and validate optimization algorithms for performance, scalability, and accuracy
- Integrate optimization models into the workforce-management platform
- Communicate findings, methodologies, and results to stakeholders
- Validate that generated schedules are operationally usable
Benefits
- Fully paid parental leave
- On-site health and wellness centers
