Hey there! We’re Fever , the world’s leading tech platform for culture and live entertainment. Our mission?

To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.

Our results? C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors!

Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience?

What You Will Do

to help achieve Fever’s mission. The Role We're looking for a Lead AI Product Engineer to drive Fever's company-wide operational transformation. This is a powerful 50% leadership, 50% hands-on building role designed for someone who sits right at the intersection of human operations and advanced AI engineering.

We are not looking for a theoretical manager who focus on KPIs, nor a developer who only wants to code in isolation. We need a hybrid leader. Half of your time will be spent interacting with stakeholders across business domains (Operations, Creative, Support), shadowing them to understand their manual workflows, and identifying where AI can genuinely give them their time back.

The other half will be spent in the trenches: designing the technical architecture, writing production code, and building internal AI products—like advanced chatbots, agents, and automated workflows—alongside a small, high-performance squad.

What You'Ll Do

Stakeholder Management Discovery (50%): Partner with internal business leaders to audit their current manual processes. Act as a translator: understand their operational bottlenecks, manage expectations on what AI can do, and shape those needs into a clear AI product features. Hands-on Engineering Architecture (50%): Design, code, and deploy advanced AI systems (LLM applications, agentic workflows, RAG, and custom chatbots) that solve those operational pain points and scale seamlessly.

Lead Mentor: Build and lead a small, agile team of AI engineers. Lead by example by contributing to the codebase, setting high standards for code craftsmanship, and fostering a culture of high-velocity shipping. Own the Product Lifecycle: Take internal tools from early discovery and rapid prototyping to production-grade deployment, ensuring they are intuitive enough for non-technical teams to adopt.

What We'Re Looking For

The 50/50 Split: You love writing clean, scalable Python code and building AI systems, but you are equally energized by talking to people, understanding their daily operational frustrations, and solving their problems. Proven AI Product Delivery: Deep, hands-on experience shipping AI systems in production (LLM frameworks like LangGraph, LlamaIndex, or agentic automation) — ideally tools or chatbots that have actively optimized human workflows. Strong Operational Sense: You can naturally look at a messy, manual process and instantly visualize how an AI product could streamline it to save hours of manual labor.

Solid Engineering Foundations: Strong software engineering background (APIs, microservices, databases, AWS ecosystem) combined with a pragmatic, outcome-driven mindset. Empathy Communication: Exceptional ability to build relationships with non-technical stakeholders, navigate ambiguity, and align engineering efforts with operational needs. The environment Product-driven , action-oriented, and fast-moving.

We value shipped code and tangible internal time-savings above all.