
Tyba was founded to improve energy storage modeling and operating methods, enabling developers, owners, and operators to optimize their assets and realize greater returns. Renewable energy projects…

Tyba was founded to improve energy storage modeling and operating methods, enabling developers, owners, and operators to optimize their assets and realize greater returns. Renewable energy projects…
What they do: AI-driven forecasting, bidding, dispatch, and portfolio optimization for battery energy storage systems (BESS)
Target customers: Developers, owners, and operators of energy storage assets
Latest disclosed funding: $13.9M Series A (Feb 2025)
Founded by / leadership: Michael Baker (Co‑founder & CEO), Tyler Nisonoff (Co‑founder & CTO), Tom Thunell (Co‑founder & COO)
Employees (approx.): 37
Optimization and operational software for battery energy storage systems in electricity markets.
Software Development
$2.3M
$13.9M
Round included new investors Pear VC, Mobilize Climate Capital, and Borusan Ventures; follow-on participation from existing investors
“Backed by investors focused on energy, climate, and software (including Energize Capital, Pear VC, Powerhouse, Wireframe, Virta, and Lorimer)”
| Company |
|---|
About Tyba
Tyba is a modeling platform for energy companies developing, financing, and operating renewable energy infrastructure. Energy companies rely on technical models daily to make crucial infrastructure decisions.
Our mission is to make cutting-edge models accessible to cross-functional teams so that companies can build and operate more renewable energy more profitably. We are backed by leading climate and generalist VCs and work with many of the industry’s most innovative energy companies.
The Role
We are looking for an Optimization Engineer to join our team and lead key modeling initiatives that deliver value to customers of our battery auto-bidding platform.
You will excel in this role if you’re passionate about clean energy, thrive in fast-paced environments, and have a strong sense of ownership. As an Optimization Engineer at Tyba, you will have the opportunity to contribute to a mission-critical product that synthesizes price forecasts and bid optimization algorithms to deliver market-beating returns for our customers.
You’ll work closely with cross-functional teams, going deep on the intricacies of power markets and their associated systems, turning customer needs into robust engineering solutions. This role primarily involves improving Tyba’s optimal battery dispatch model, with a focus on accurate and performant modeling approaches.
Tyba’s Product
Tyba has two main products for customers – Asset Operations and Project Simulation
Asset Operations: An Auto-bidding platform, powered by a proprietary neural network, that recommends and executes operating strategies based on industry-leading price forecasts and optimization methodology.
Project Simulation: A configurable simulation platform enabling developers to model realistic financial and physical outcomes based on location, market dynamics, and battery specifications.
As an Optimization Engineer, you’ll focus on improving the algorithms powering the Asset Operations auto-bidding platform.
Responsibilities
Required Skills
Preferred Skills
Tyba’s Technical Stack
Tyba’s machine learning and asset operations stack is written in Python and is deployed as a distributed system on the AWS cloud. Our optimization models are implemented in the CVXPY modeling framework.
Compensation and benefits
Compensation Range: $160K - $200K
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
52,000+
Startups
65,000+
Open Roles
1,500+
New This Week