At a Glance
- Tasks: Lead a high-performing engineering team to build AI for complex industrial plants.
- Company: Join Gigaton, a mission-driven company tackling climate change through innovative technology.
- Benefits: Competitive salary, flexible work options, and a culture of continuous learning.
- Other info: Diverse and inclusive workplace committed to nurturing future leaders.
- Why this job: Make a real impact on the planet while solving tough engineering challenges.
- Qualifications: Strong software engineering background with leadership experience in tech.
The predicted salary is between 90000 - 110000 £ per year.
At Gigaton, we're on a mission to cut gigatonnes of carbon emissions from the world's biggest emitting industries (like cement, steel and glass), by building autonomous AI control and optimisation systems that learn and leverage the physics of manufacturing. Our products run heavy industrial plants more efficiently, more stably, and with lower emissions in real time - laying the foundation for the next industrial revolution. We are a team of scientists, engineers, builders, and operators who love hard problems, have high standards, and want to make change happen in the physical world. We care about deep tech, but we care even more about whether it delivers cost and carbon impact in a live plant, with real people, under real constraints. With Gigaton, you'll solve really tough problems in places few people ever get close to, and build something that actually helps the planet. Are you up for the challenge?
About the role
We're looking for a Head of Engineering to join our team and help us build AI that controls the world's most complex industrial plants in real time.
What will this role achieve?
- The goal: Build a high-performing software engineering organisation that reliably delivers customer value while providing the platform and infrastructure that enables our machine learning and research teams to succeed. Outcome - an elite engineering team.
- We've built solid foundations: continuous deployment, modern observability, high test coverage and a fear-free culture. You'll help the organisation continually improve by coaching engineers and team leads, strengthening engineering practices, and creating space for the technical investments that keep us moving quickly. Outcome - a culture of quality.
- We operate in a complex, safety-critical domain while moving quickly: Software quality is how we resolve that tension. You'll embed planning, review and engineering practices that help teams identify risks early, ship confidently and learn continuously. Outcome - shared alignment.
- We have ambitious objectives, and a high bar for performance: We need to make measurable progress through tangible, realistic goals. You'll partner with the Head of Machine Learning, Head of Product, and the CTO to turn company priorities into realistic engineering plans. You'll help teams make thoughtful trade-offs, maintain focus, and deliver predictably as priorities evolve. Outcome - the next generation of technical leaders.
- As Gigaton grows: our success depends on developing leaders at every level. You'll coach team leads to become confident technical and people leaders, establish clear expectations and management frameworks, and create an environment where leadership is nurtured deliberately.
What a great fit looks like
- You have a strong software engineering background and have successfully transitioned into engineering leadership.
- You have experience leading through team leads or engineering managers, and enjoy developing other leaders.
- You understand how to introduce enough structure to help teams scale, without introducing unnecessary process.
- You remain technically proficient and enjoy working directly with engineers on architecture, debugging, design reviews, or pairing.
- You understand modern software engineering practices, including TDD, pair programming, and continuous deployment.
You'll excel if
- You are passionate about climate impact and excited about Gigaton's mission to decarbonise heavy industry.
- You enjoy working with domain experts to solve complex real-world problems.
- You have an educational background in the physical sciences.
- You have experience building software for scientific, industrial, or data intensive systems.
- You have worked closely with machine learning or data engineering teams.
You are not expected to check every box, and we'd love to hear from you even if your experience isn't an exact match. We're building a team that reflects the world we want to change. Our people come from all walks of life - different countries, cultures and experiences - and we think that's one of our biggest strengths. We're committed to creating a workplace where everyone feels safe, respected and celebrated. No matter your background, if you're excited by what we do, we want to hear from you.
The interview process
Our interview process is designed to understand how you think, lead, and work with others. We are not looking for a perfect match against every requirement. We are looking for evidence that you can build a high-performing engineering organisation in a complex, high-stakes domain. The process has four main stages.
- Pair programming: You'll work with one of our engineers on a small technical exercise. We are not assessing memorised syntax or speed under pressure. We are interested in how you reason, how you collaborate, how you use tests to guide your work, how you learn from documentation or tools, and how you communicate while solving an unfamiliar problem.
- System design: You'll walk us through a real system you have worked on and had meaningful architectural influence over. We'll ask you to describe the problem, the constraints, the operational characteristics, the design choices you made, and how the system evolved over time.
- Management scenarios: You'll work through a set of realistic management scenarios: production incidents, conflicting priorities, delivery pressure, and career development. There are no single correct answers. We are looking for how you diagnose situations, how you create alignment, and how you help teams learn. This stage is intended to understand your management style, your operating principles, and your ability to lead through complexity.
- Operating principles: We'll discuss examples from your past work that relate to how we operate: ownership, ambition, honesty, adaptability, and kindness. We're proud of our operating principles and they are published on the internet.
Finally, we believe hiring is a two-way process. Just as we'll reference-check candidates before making a final offer, we encourage you to reference-check us by chatting to team members you haven't yet met. Ask anything. We'll answer with Concrete Honesty. Once interviews are done, we'll move quickly to a decision, and we're always happy to give feedback at any stage.
Head of Engineering employer: Gigaton
At Gigaton, we pride ourselves on being an exceptional employer dedicated to tackling climate change through innovative technology. Our collaborative work culture fosters continuous learning and growth, empowering employees to develop their leadership skills while making a tangible impact on the environment. Located in a vibrant area, we offer unique opportunities to engage with passionate professionals and contribute to groundbreaking projects that drive real change in heavy industry.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Engineering
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Gigaton or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Gigaton.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Gigaton.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Gigaton that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Head of Engineering
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Gigaton.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Gigaton and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Gigaton
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Gigaton uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.