The digital world never stops. Every video you stream, call you make, swipe, like, or product you buy online runs through data centers, and those consume an enormous amount of energy. That’s where Coolgradient comes in.
We’re a green-tech start-up on a mission to make our digital lives more sustainable. Our solution, GRADIENT Perceptive AI, is a no-code, plug-and-play optimization tool that helps data centers operate more efficiently, sustainably, and cost-effectively. Already in use across the globe, GRADIENT has saved tens of thousands of GWh in energy. And we’re just getting started!
As we scale up, we’re looking for a skilled and motivated Sales Engineer to help expand the reach of GRADIENT and support positive change in how the world powers digital life.

KEY RESPONSIBILITIES:

• Provide tailored product demonstrations that highlight real-time insights and optimization capabilities of GRADIENT.
• Collaborate on Proof-of-Concept projects with prospective clients, define measurable success criteria (e.g., PUE/energy savings), and lead implementation.
• Analyze real deployment data to quantify energy, water, and carbon savings, and create compelling, client-specific business cases.
• Develop and maintain standardized and adaptable ROI tools to demonstrate both short- and long-term value.
• Act as a technical representative at industry events, webinars, and contribute to marketing materials including whitepapers and case studies.
• Collaborate with partners (BMS/DCIM/SCADA vendors, OEMs) and internal teams to ensure seamless integrations and continuous product improvement.

We value a variety of experiences and backgrounds. If you meet most of the criteria and are excited about the role, we encourage you to apply.

• A bachelor’s degree (or equivalent experience) in Mechanical or Electrical Engineering, (Industrial) Control systems, or a related field.
• 2+ years in technical sales, solutions engineering, or a related role, preferably with B2B SaaS and enterprise clients.
• Ability to translate technical features into clear, outcome-focused benefits for both business and technical audiences.
• Confidence in designing PoC trials, adapting solutions, and troubleshooting technical challenges.
• Commitment to fostering a respectful, inclusive, and collaborative environment for colleagues, clients, and partners.
• Nice to have: Background in Data Science, particularly in industrial settings or familiarity with data center operations, risk management, compliance frameworks, or experience with BMS/DCIM/SCADA tools