Join as a Commercial Co-Founder to build the coordination layer for the decentralized grid. Leveraging multi-agent reinforcement learning, you will solve the scaling bottlenecks of virtual power plants. You'll lead commercial strategy, secure pilot agreements with VPP operators, and raise funding to unlock the full potential of distributed energy resources globally.
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Commercial Co-Founder at Deepscienceventures
Are you ready to build the infrastructure for the decentralized grid? We are seeking a Commercial Co-Founder to launch a new climate tech venture focused on scaling Virtual Power Plants (VPPs) using advanced multi-agent reinforcement learning. This isn't just another energy app; it's a fundamental coordination layer for the global energy transition. You will partner with a technical founder from a prestigious research background, backed by a leading deep-tech venture studio with a £700M portfolio. If you have deep expertise in energy flexibility markets and the drive to lead a company from formation through Series A, this is your chance to own a significant founder stake in a high-impact global startup.
About this role
Role overview
About the company
Deepscienceventures
Climate tech venture studio with 50+ science-led companies and a portfolio valuation of £700M
What you'll do
What you will do
- Validate market demand and secure commercial proof points including LOIs, MOUs, and pilot agreements with global VPP operators and aggregators.
- Lead all fundraising efforts from pre-seed through Series A, targeting top-tier climate tech and energy-focused venture capital investors.
- Navigate complex energy market regulations and grid code compliance across major target geographies including the US ISO/RTO, UK, and European markets.
Who you are
Who this is a fit for
- 8-15 years of experience in early-stage startups or leading commercial scale-ups within the energy, grid flexibility, or VPP markets.
- Proven track record in B2B business development, successfully moving from cold outreach to signed commercial partnerships and revenue-generating agreements.
- Deep network of existing relationships across energy traders, utilities, DSOs/DNOs, and distributed energy resource manufacturers to accelerate go-to-market entry.
Why this role
Why this role is remarkable
- Founding opportunity to solve a critical global energy bottleneck using PhD-validated multi-agent reinforcement learning that outperforms industry-standard optimization methods.
- Backed by a world-class venture studio with a portfolio valuation of over £700M and a track record of launching 50+ science-led companies.
- Massive equity upside with a majority founder stake (20-30%) and a direct path from formation through to Series A with institutional support.
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