Pulse Intelligence Partner (PIP) is revolutionising data, analytics, and automation for the natural resources and commodities industry. Our cutting-edge, fintech-inspired platform integrates AI and machine learning to automate investment management, asset research, and documentation. By distilling vast amounts of market information, we enable executives and financiers to spend more time strategising and less time searching for data.
Be part of a fast-growing, fully remote startup that’s transforming the natural resources industry. At Pulse Intelligence, you’ll work with cutting-edge technologies, free from tech debt, to build innovative solutions that simplify complex data processes. As our team expands, so do the opportunities for growth, promotions, and leadership roles. We value creativity, efficiency, and problem-solving—giving you the freedom to do meaningful work while enjoying a competitive salary and a dynamic, forward-thinking environment.
We’re a small, dedicated team that works like a startup—fast-moving, hands-on, and always learning. We believe in giving people the freedom to work independently, without micromanagement, but we also expect high-quality work in return. With team members based in the UK, South Africa, and Ukraine, we focus on delivering results rather than strict hierarchies.
At Pulse Intelligence, we build scalable AI-driven solutions using a cutting-edge tech stack, including Python, Kubernetes, OpenAI APIs, and advanced web scraping tools. Our engineers work on sophisticated data models and automation pipelines, requiring strong coding skills, architectural foresight, and adaptability to new technologies. If you’re passionate about AI, automation, and transforming industries beyond mining intelligence, join us to push the boundaries of what’s possible.
Our Head of Tech is personally leading the interview process, as we are a small, close-knit team that values collaboration and technical excellence. To ensure a fair and efficient selection, candidates will receive a task aligned with the skill level we’re looking for. Based on task submissions, we will shortlist applicants and proceed with interviews.
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