Product Engineer

Company Overview: AI is driving data center power consumption to more than double, from ~460 TWh today to a projected 1,000 TWh by 2030, roughly the electricity consumption of Japan! Hyperscalers and AI companies are racing to secure compute capacity, while new grid connections in key markets are queued years out. Meanwhile, capacity sits stranded in existing infrastructure, managed through outdated models that were never built to handle the power-dense workloads coming rapidly down the pike. At Zendo we're developing the operating layer that enables operators to get more value from every watt. Our Energy OS platform brings together operational data, energy intelligence, and proprietary load forecasting across the data center power stack to help operators access more capacity, sooner.

We’ve been building at pace to match the urgency of the capacity crunch, with some great traction so far: Raised $2M+ in pre-seed funding from Fly Ventures, Pact, and Octopus Ventures, with angels from Google and across the data centre industry. Live with several UK data centre customers, with a pipeline to grow across the market. A founding team combining deep energy, B2B software, and data centre infrastructure expertise — ex-Octopus Energy, Square, Meta. This is an opportunity to join us on the ground floor, work directly with the founders, and grow with the business as we build Zendo into a true category leader on the frontlines of an industry undergoing the largest infrastructure build-out in history.

Your Role as Product Engineer: You'll work directly with our Founding Engineer (ex-Meta) and the founders to own the customer-facing side of Zendo’s platform — the interfaces, workflows, and orchestration logic that turn complex energy data into decisions data center operators can act on.

• Capacity allocation product — driving the core operator-facing product toward feature-completion, shipping the functionality that operators need to manage and sell capacity with confidence.
• Building out the product to handle more complex, fast-moving allocation scenarios as AI tenant demand evolves.
• Operator-tenant orchestration — building the layer that sits between operators and AI tenants, enabling dynamic capacity requests, allocation, and signalling in real time.
• Interface and UX — owning how the product looks and feels, translating complex energy data into interfaces that are intuitive for data centre operators.
• API design — designing and building the APIs that underpin the orchestration layer, enabling operators to interact with capacity data programmatically.
• Live customer environment and product iteration — working directly with live customers on real operational data from day one, with short feedback loops between what you build and how it performs in the field.

What We're Looking For: 4–6 years of full-stack engineering experience, comfortable working across the stack from UI to API to backend logic. Experience managing complex business logic, translating real-world ambiguity into an intuitive API.