Senior Automation Specialist

1 нед. назад

EuropeWorldwideSeniorRemote

Senior specialist focused on automation in a company innovating in AI-driven energy transaction infrastructure.

Обязанности

We're hiring a Senior Automation Specialist to automate the operational work that runs , the work that sits outside Product and Engineering.
You'll partner directly with our Engine Leads to find manual processes and replace them with automation that holds up. This is hands-on and AI-first. You'll build agents, reasoning layers, and integrations using coding agents like Claude and Codex alongside n8n, and you'll ship them inside 's own stack (GitHub, AWS, S3, TypeScript), so they last, rather than becoming next quarter's clean-up job.
You'll report to the Engine Ops Lead.
Design and maintain the reasoning layer for our operational engines: workflows that route and action tasks on business logic, not just move data between systems.
Translate manual processes into automation with our Engine Leads, iterating fast on real operational feedback.
Build agents with Claude, Codex, or equivalent, backed by evals and manual QA, shipped through 's own GitHub and AWS stack rather than new vendor tools.
Own delivery end to end, from discovery through to production, monitoring, and iteration, measuring yourself on hours reclaimed.

Требования

3–5 years in automation roles, with a real portfolio of hours reclaimed: specific, provable examples of code replacing manual work, not just prototypes.
Comfort in the messy middle of API integration, connecting systems that were never designed to talk to each other.
Deep experience with low-code automation platforms (n8n or equivalent), and hands-on experience building agents with Claude, Codex, or similar tooling as part of a real logic flow, not just prompting a chatbot.
A systems thinker who can map a messy human process into clean architecture, and ship it inside an engineering stack.
A real testing habit (evals plus manual QA), paired with a bias for shipping a great automation today over a perfect one next month.
Comfort partnering directly with non-technical domain experts and turning their process knowledge into working automation.

Будет плюсом

Experience in high-growth startups or operations-heavy environments (fintech, energy, logistics, e-commerce).
A background in data engineering or business intelligence.
Active in the AI tooling landscape, and quick to bring what you find back to the team.

Условия

Salary aligned to internal benchmarks and reviewed twice a year.
Stock options, so everyone shares in the mission.
25 days' holiday plus public holidays. Swap public holidays for the ones that matter most to you, and take your birthday off.
Remote-first, flexible working, with clear core hours and no internal meetings on Friday afternoons.
A remote-setup budget of up to £1,200 / €1,200 a year.
A wellbeing budget of up to £150 / €150 a month.

Как откликнуться

We move fast. Most processes take two to three weeks from first chat to offer. If you need us to adapt anything, tell us.
Intro call with Talent, 30 minutes.
Hiring Manager interview, 60 minutes.
Skills interview with cross-functional leaders, 60 to 90 minutes, including a practical exercise.
Culture Add interview with leadership, 45 minutes.
We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

Другое

Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity.
exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators.
We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale.
In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership.
We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide.
Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems.
At , we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception.
Design and maintain the automation and reasoning layer for our operational engines: workflows that route and action tasks on business logic, not just move data between systems.
Codify business rules, build data-quality gates, and define the safety valves that know when to hand a task to a human instead of an agent.
Build agents with Claude, Codex, or equivalent that take on real operational volume. Each one is prompted, tested against real data, measured on precision and recall, iterated, and shipped only once it clears an agreed bar.
Work directly with the domain experts across Payments & Debt, Tendering & Partner Activation, and other operational areas to learn the business logic and turn manual processes into automation.
Move where the impact is. You'll shift priorities to whichever engine stands to gain the most from automation.
Iterate on real operational feedback, not on what looked right in testing.
Connect internal platforms and third-party services using APIs, webhooks, and workflow tools (n8n and equivalent). You're comfortable in the messy middle, joining up systems that were never built to talk to each other.
Build and maintain frontend apps in TypeScript, using 's AWS-native stack (databases, S3) for storage, deployed through GitHub and GitHub Actions.
Ship a great automation today over a perfect one next month, but never skip the eval and manual QA that prove it works before it touches live data.
Take problems from discovery through to production, monitoring, and iteration. You'll act as the product manager for internal efficiency.
Measure success in manual hours removed each week, and report it as a real metric.
Own the errors in your workflows and respond to them, improving each automation on the back of real-world use.
Keep pace with what's new in AI (models, agent frameworks, prompting techniques) and bring it back into what you build.