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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? OUR MISSION 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 applying cutting-edge AI where it matters most. We’re a small and growing team of scientists, engineers, and strategic thinkers who care deeply about impact and believe in getting there with good humour and urgency. Our SaaS products help heavy industry optimise operations in real time, cutting costs and carbon today while building the foundation for the next industrial revolution. ABOUT THE ROLE We’re seeking a Solutions Engineer – Process Control to join our Product and Solutions Engineering team and sit on the frontline of industry decarbonisation. This role blends industrial process expertise, control engineering, and deployment leadership. You’ll work directly with process engineers and plant operators to understand complex chemical processes, design optimal AI control strategies, and integrate Gigaton’s AI into live production environments, ensuring our technology aligns with operational realities and delivers measurable value. Think of it as the process engineer’s trusted partner — technical, pragmatic, and collaborative. You’ll lead deployments, translate AI outputs into actionable control strategies, and help shape Gigaton’s approach to scaling advanced process optimisation across global industrial sites. YOUR MAIN RESPONSIBILITIES - Deploy & integrate Gigaton AI into live cement and industrial plants, ensuring stable, safe, and effective operation within existing process control frameworks. - Collaborate with plant and process teams to identify optimisation opportunities, tune control loops, and validate performance improvements. - Analyse plant data to identify opportunities and evaluate the performance of Gigaton’s software. - Develop and refine control strategies, leveraging APC, MPC, and PID principles to bridge AI recommendations with practical plant control systems. - Build trust and engagement with process engineers and operators by clearly explaining technical decisions and demonstrating measurable benefits. - Collaborate with machine learning engineers to refine algorithms and recommendations based on real-world outcomes. - Support deployment playbooks and templates, ensuring repeatable, scalable, and high-quality rollouts across plants. - Act as a feedback link to Gigaton’s product and machine learning teams, providing field insights that shape our product roadmap and model development. - Travel to sites (~1 week/month) to work hands-on with teams during commissioning, testing, and optimisation phases. WHAT A GREAT FIT LOOKS LIKE - Strong background in process or control engineering, ideally in cement, chemicals, energy, or heavy manufacturing. - Experience with advanced process control (APC/MPC/PID) systems and process optimisation projects. - Familiarity with industrial automation systems (e.g., DCS, PLC, OPC, historian systems). - Understanding of AI/ML applications in proce