Location: San Francisco, CA (Hybrid)

The Role

We're seeking an experienced Senior Optimization Engineer to join our Data Science Team. In this role, you will lead the design, development, and deployment of optimization models that power our software platform across applications including electricity markets, renewable energy, and battery energy storage systems.

You will be responsible for developing production-grade optimization engines that solve complex operational and planning problems at scale. This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ideal candidate has significant experience in the energy industry, particularly electricity markets and battery storage optimization.

This position emphasizes technical leadership, ownership of complex optimization projects, and collaboration across engineering, product, and commercial teams to deliver high-impact optimization solutions.

Key Responsibilities

• Lead End-to-End Optimization Engineering: Lead the development of optimization solutions from mathematical formulation through production deployment. Translate business requirements into scalable optimization models and implement them as robust, maintainable Python software. Design reusable optimization frameworks and services that integrate seamlessly into Verse's cloud platform and support long-term product development
• Optimization Modeling & Solver Development: Design and implement mathematical optimization models using linear, mixed-integer, quadratic, and related optimization techniques. Formulate robust models for scheduling, dispatch, planning, and operational decision-making, and improve solver performance through model reformulation, decomposition methods, warm starts, heuristics, and parameter tuning to ensure scalable, production-ready optimization solutions.
• Energy Systems Modeling: Develop optimization models for electricity markets, battery energy storage systems, renewable energy assets, and other distributed energy resources. Translate market rules and operational constraints into mathematically rigorous optimization formulations.
• Software Engineering & Productionization: Write clean, well-tested, and maintainable Python code following modern software engineering best practices. Contribute to architecture decisions, testing frameworks, CI/CD pipelines, and deployment of optimization services.
• Cross-Functional Collaboration: Partner closely with product managers, software engineers, data scientists, and commercial stakeholders to understand business requirements and deliver optimization capabilities that integrate into customer-facing products.
• Technical Leadership: Mentor junior engineers, establish best practices for optimization modeling and software development, conduct code reviews, and help shape the technical direction of Verse's optimization platform.

What We're Looking For (Minimum Qualifications)

• 5+ years of professional experience developing mathematical optimization models in production environments
• Demonstrated experience independently leading complex optimization projects from formulation through deployment
• Professional experience developing production software in Python
• Experience deploying optimization models into scalable production systems
• Professional experience in the energy industry is required
• Experience with battery energy storage optimization is strongly preferred
• Master's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Electrical Engineering, or a related quantitative field. A bachelor's degree with significant relevant experience may also be considered.

What Will Make You Stand Out (Preferred Qualifications)

• Experience optimizing battery energy storage systems in wholesale electricity markets
• Knowledge of market optimization problems involving ISO/RTO markets (CAISO, ERCOT, PJM, MISO, NYISO, ISO-NE, etc.)
• Familiarity with stochastic optimization, robust optimization, or multi-stage optimization methods
• Experience developing optimization services for real-time or operational decision support systems
• Experience mentoring engineers or leading technical projects
• PhD in Operations Research, Applied Mathematics, Industrial Engineering, or a related quantitative discipline

Base Pay Range

$150,000-$210,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks

• Competitive compensation and equity grant at a high-growth start up
• Comprehensive benefits package including medical, dental and vision insurance, and 401k
• Flexible hours and unlimited PTO
• Diverse and inclusive working environment