Nuclearn develops AI and ML software and nuclear-domain LLMs that automate routine documentation and processes for nuclear reactors and utilities, offering cloud and on-site deployments with operator review controls.
Nuclearn brings modern AI to one of the most demanding industries in the world: nuclear power. The work that keeps a plant running safely sits under mountains of procedures, regulatory documentation, and engineering review, and most of it is still done by hand. We build AI made for the realities of nuclear operations, not adapted from generic tools, so the engineers and operators who keep plants running can spend their time where it counts. We're out to rebuild how an entire industry runs, not tinker at its edges. This matters more now than ever. Nuclear is having its biggest moment in a generation, and we're building at the center of it. As the world turns back to nuclear for clean, reliable power, operators have to do more without growing their experienced workforce at the same pace. Our aim reaches past any one tool: we want to partner with utilities across the industry to make nuclear faster to run and safer to scale. We're not just bringing AI to nuclear, we're challenging the idea that a safety-first industry has to be a slow one. We win as one team, we make every dollar and hour count, and we treat our customers' wins as our own. THE ROLE Customer Success Engineers at Nuclearn deploy AI software inside nuclear plants. It's a pretty cool job description to have at a dinner party, and the work behind it is even more interesting than it sounds. The work covers a lot of ground, such as standing up our platform on customer infrastructure (sometimes air-gapped), configuring it for each plant's workflows, troubleshooting integrations with Engineering, and making sure the operators who use it every day get the outcomes we promised. We're post-PMF and scaling, live at 70+ nuclear facilities across North America and the U.K. with customer count accelerating, and this function is getting real structure as we hire our first Head of Customer Outcomes to lead it. Reporting to that new Head of Customer Outcomes, you'll join a team of four CSEs (growing) as an individual contributor who owns customer relationships from go-live through expansion. You'll be on site regularly, working directly with nuclear engineers, IT teams, and plant operators. The job is technical, customer-facing, and measured above all by one thing: customers getting the outcomes they paid for. WHAT YOU'LL OWN - Deployment and implementation. Install and configure Nuclearn's platform on customer infrastructure, on-prem (sometimes air-gapped) or in secure cloud, owning the technical side of plant-system integrations and partnering with Engineering on custom work. - Customer success and adoption. Make sure customers get the outcomes they bought: understand their workflows, train their users, troubleshoot friction, and catch adoption gaps before they become retention risks. - Technical advisory. Be the credible technical voice your customers' IT teams and engineers respect, recommending configurations, optimizing how they use the platform, and documenting patterns that scale to other customers. - Customer voice. Surface what you hear to Product and Engineering. You'll know things about how our software is actually used that nobody else at Nuclearn does, and that's a responsibility. ABOUT YOU You have 3+ years in customer success engineering, technical implementation, or solutions engineering at a B2B software company. You've worked with enterprise customers on complex deployments where the customer's technical team was as smart as you are, and you held your own. You're genuinely technical. You're comfortable in Linux, you know your way around Docker or Podman, and you can troubleshoot integration issues without escalating every time. You don't need to write production code, but you should be the kind of person engineers respect in a technical conversation. You're customer-facing by choice. You'd rather be on site at a plant solving a real problem than behind a desk. You handle skeptical, technical buyers without getting defensive. You're comfortable when the customer knows more about their domain than you do; your job is to bring deep expertise on our platform, not on theirs. You're AI-fluent. You use AI tools in your work, you understand what they're good and bad at, and you can talk credibly with customers about how Nuclearn's AI fits into their workflows. You're comfortable with candor. You'll tell a customer when their setup is the problem. You'll tell Engineering when a bug is real. You'll tell your manager when a deployment is at risk. We say the hard things here, with facts and without spin. Nice to have, not required: - Experience in nuclear, utilities, energy, or another regulated industry - Familiarity with Azure, Terraform, or Kubernetes - Background working with generative AI, Postgres, or Python - Prior experience at an early-stage startup where the playbook was still being written YOU'LL BE IN YOUR ELEMENT IF... We try to be honest about where people thrive here, because that saves everyone time. Some patterns we've seen: - You're comfortable building without a playbook. A lot of what you'll do here, you'll figure out as you go. We're past product-market fit, but we're still building most of the systems around it. - You're energized by fast cadence. The work moves fast. Customers are growing. Priorities shift. People who do well here lean into that pace rather than waiting for it to settle. - You bring decisions, not just questions. Our managers expect you to come with "Here's what I'm going to do, unless you tell me otherwise," not "What should I do?" - You want candid feedback. We tell each other the hard things, with facts and without spin. People who do well here find this energizing, not uncomfortable. - You like reaching across function lines. Small team means everyone wears multiple hats. The boundary of your role is whatever the work needs, and that's a feature, not a bug. HOW WE WORK We're a values-driven company. Six values shape how we work, and three wi