Head of Engineering in London

Requirements

• A proven engineering leader: you've led engineering teams before, or you're a strong lead ready to step up. You'll be our senior-most technical person as we scale through Series B.
• Startup experience: you've built at early-stage startups (Series A to Series C) and know what shipping at that pace and stage actually takes.
• (Desirable) Domain experience: you've worked in energy/optimisation or fintech; you'll be working across both.
• Hands-on builder and architect: you write production code today, design systems, and make trade-offs beyond individual features, and have done so in early-stage environments. You know when to hack and when to invest.
• A culture setter: you set the bar on output and intensity and hold people to it. Engineers who've worked with you got better because you were there. You've hired exceptional people before.
• Genuinely AI-native: you use AI daily in your own workflow and in what you build on the side; shipping AI features in a previous role is a plus. You have a clear point of view on where AI creates real leverage.
• Knowledge of our stack or appetite to learn: Python for AI/data science; TypeScript, React/Next.js, Node.js, Postgres and AWS across the rest.

What the job involves

• Lead and transform the engineering team: raise the bar on output and pace, mentor and unblock the team - our default is leverage over headcount: make the engineers we have faster before adding more. Own hiring where required as we scale toward Series B.
• Engineering strategy and architecture: define and own the multi-year technical strategy and architecture across solar, batteries, EVs, energy supply, the optimisation/dispatch layer and AI. You'll decide what we build, what we buy, and what we hire for, including bringing in deep specialist talent where the problem demands it.
• Output focussed: stay close to the work. Write production code, shape architecture, lead by building. Where you spend your time is your call, judged on what you deliver.
• Own the AI platform: the context layer that makes Sunsave readable by AI, the harness employees run agents through, and the eval and autonomy bar agents must clear in a regulated business. Lead the AI builders who deploy into departments.
• Represent Engineering: at the leadership table, with investors, and cross-functionally with Product on where we trade off speed, quality, and long-term value.