AI Automation Intern

About North Cloud The public cloud is rapidly evolving, with businesses investing over $200B annually in cloud technology. As AI accelerates demand for scalable infrastructure, cloud costs continue to rise—yet most teams still rely on spreadsheets to manage them. North is building the next-generation cloud spend management platform. We provide real-time visibility, control, and automation over cloud finances, enabling companies to scale efficiently without wasting time or money. Backed by top-tier investors and trusted by global customers like Brave, The New York Public Library, and Ramp, North is assembling a world-class engineering team to redefine how businesses manage cloud infrastructure. For those seeking impact, ownership, and the opportunity to build from 0 → 1, North offers a unique path. About the Role We’re looking for a curious, motivated intern obsessed with speed, systems, and streamlining the way engineering teams work. In this role, you’ll be embedded within the engineering org, helping identify and eliminate inefficiencies through automation, internal tooling, and AI-powered workflows. Whether it's automating a manual review process, evaluating new AI agents, or reworking internal documentation so it’s actually usable, your job is to keep the machine moving forward. This role is perfect for someone who thrives in the messy middle: part engineer, part ops brain, part problem-solver. You’re not afraid to dive into code (or learn where needed), but you're just as excited about improving process and helping your teammates ship faster. What You’ll Do Follow a phased approach to automation projects: Start by supporting automation and internal tooling needs from the CTO Progress to automating workflows within the engineering team Expand to help improve processes across other functions in the business Identify and automate recurring manual tasks using AI tools and scripting Audit internal tools, documentation, and workflows to recommend improvements Assist with lightweight code reviews, scripting tasks, and internal tooling evaluations Research and test automation frameworks, agent-based tools, and AI productivity helpers Join engineering meetings and contribute to documentation and process optimization Collaborate with product, security, and engineering teams to remove bottlenecks and improve delivery velocity What we’re looking for Interested in automation, cloud infrastructure, or AI-driven workflows Comfortable reading and writing code (Python is a plus) Comfortable working with at least two different LLMs (e.g., OpenAI, Claude, Mistral, Cohere, etc.) Have worked on automation-related projects Organized, detail-oriented, and curious about how engineering teams operate Excited to learn in a fast-paced startup environment A strong communicator who’s not afraid to ask questions or offer ideas A student looking to gain real-world tech experience in a startup setting Nice to have Familiarity with GitHub, Python, or scripting tools Interest in cloud platforms like AWS or GCP Experience using AI tools like ChatGPT, Claude, Gemini or Grok for automation Agentic workflows and automation tools Previous internship or personal project related to automation, scripting, or developer tools Work Setup This is a hybrid role in our New York office (in Dumbo, Brooklyn). You will work part of the time in the office (at least 2 days/week) and part of the time remote/work-from-home. Expected hours of work per week: 20-25 hours. Compensation $2,000 per month Why North Direct mentorship from our CTO Learn directly from a senior engineering team shipping real-world cloud systems Get exposed to cloud infrastructure, AI workflows, and fast-paced product development Build your resume with high-impact work that supports a growing startup Flexible schedule and real ownership—you’ll work on projects that matter A collaborative, respectful team that values clarity, craft, and curiosity Join Us! The public cloud is evolving fast, and North is leading the way in transforming cloud finance management. If you’re looking for a high-impact role at a fast-growing startup, we’d love to hear from you. Apply today!