Verse
From Verse's careers page
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The Role We're seeking an experienced Senior Optimization Engineer to join our Data Science Team.
What is Verse?
The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI.
At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy.
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.
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.
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
What makes Verse a great place to work?
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.
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
Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.
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