Role Description We are looking for AI Evangelists to help design and deploy intelligent systems that streamline how work gets done across the company. Your role will be to understand existing business processes, identify opportunities to improve them using modern AI tools, and build reliable automated workflows powered by large language models and agent-based systems. You will work across teams to reduce manual effort in repetitive tasks, improve operational efficiency, and enable people to focus on higher-value work. This role sits at the intersection of operations, product, and engineering, and is ideal for someone who enjoys solving real-world problems using practical technology. What You’ll Do - Analyse business workflows - Work with teams across the organisation to understand how key processes currently operate and identify opportunities where automation or AI assistance can improve speed, accuracy, or scalability. - Design AI-powered workflows - Break complex processes into structured steps and design agent-based systems that can execute parts of those workflows. - Build and deploy automation - Implement solutions using modern AI and automation tooling, integrating internal systems and external APIs to create end-to-end workflows. - Ensure reliability - Make systems robust by adding monitoring, validation, retry logic, and human review points where appropriate. - Measure impact - Track the effectiveness of the systems you build, including improvements in speed, throughput, and operational efficiency. Example Projects - AI-assisted customer support triage and response drafting - Automated document or invoice processing workflows - Internal reporting agents that generate weekly summaries - Sales research assistants that prepare account briefings - Marketing workflow automation and campaign reporting Skills and Experience - We are looking for practical builders who enjoy solving messy real-world problems with cutting edge agentic technology. - You may come from backgrounds such as automation engineering, technical operations, internal tooling, startups, or AI prototyping. - Strong candidates will have experience with some combination of: - Working with APIs and system integrations - Using large language model APIs (e.g. Claude, OpenAI, Gemini) - Workflow automation tools such as n8n, Zapier, or Make - Scripting or programming (commonly Python or TypeScript) - Designing structured workflows or automation systems - Debugging and improving automated processes - You do not need deep academic AI or machine learning experience. We value practical experience building systems that work. How You Work - The best candidates for this role tend to: - Enjoy experimenting with new AI tools and technologies - Approach problems systematically by breaking them into steps - Build and iterate quickly - Focus on reliable, practical solutions rather than theoretical ones - Take ownership of projects from idea through to deployment What Success Looks Like In this role you will help build a growing set of AI-powered systems that make everyday work faster, simpler, and more scalable for the human Ometrians. Over time you will create a library of reusable agentic components which teams across the company will leverage. Why This Role Matters Advances in AI are creating new ways to redesign how work happens inside organisations. By combining modern AI models with well-designed workflows, it is now possible to automate many repetitive tasks and significantly increase operational efficiency, and the effectiveness of our human Ometrians. This role is about helping teams take advantage of those capabilities in a thoughtful, practical way. Benefits - 30 Days Holiday - Private Healthcare - Enhance Company Pension Contribution - Mental Health Support via Spill

• Build and evolve backend services that power AI Fleet Management across Spotify and Portal’s external customers • Design scalable distributed systems that support safe, observable, and repeatable fleet-wide changes • Integrate AI-native capabilities into backend workflows using modern LLM tooling and agent-based automation • Develop services across a polyglot backend stack including Java, Python, and Node.js • Take ownership of well-scoped services end-to-end, including participating in operational support and on-call rotation • Collaborate with product, design, and go-to-market partners to shape practical, customer-facing platform capabilities • Contribute to strong engineering fundamentals including automated testing, observability, reliability, and continuous delivery • Help evolve internal and external APIs, SDKs, and platform primitives used daily by other engineers

• Own startup’s public technical presence through developer content, demos, and tutorials. • Build and grow a developer community through hackathons, meetups, and direct engagement. • Run developer-facing channels such as X and LinkedIn. • Translate complex AI infrastructure into clear and useful developer content. • This is a hands-on 0–1 role focused on building developer community and presence from scratch.

• Support and work directly with developers, teams, and companies building with LiveKit, both commercially and in the community. • Triage, file, and fix bugs, respond to support tickets, write sample and production-quality code, update documentation and author technical guides in service of customers. • Regularly meet or follow-up with LiveKit customers to ensure their continued success on the platform. • Collaborate closely with Sales, BD, and Partnerships teams on strategy and support them in customer conversations.