• We are seeking a talented Staff-level AI Developer to join our applied AI team. • In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. • You’ll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders. • You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact. • Design, develop, and deploy production AI/ML systems that deliver business impact to our customers. • Build and maintain LLM-based applications leveraging context engineering techniques and toolsets. • Collaborate with data scientists to transition approved proof of concepts from a research environment into production. • Integrate AI capabilities into existing products and services through APIs and microservices. • Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance. • Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns. • Stay up-to-date with the rapid changes in the AI landscape (e.g., new foundation models, quantization techniques) and prototype new ideas quickly.

• Own product strategy, specs, and QA in a hands-on PM role • Lead a small, remote pod, blend technical depth with real customer impact • Own the roadmap. Define what gets built and why. Prioritize ruthlessly, kill low-leverage work, and protect your engineers’ focus • Write specs that are hypotheses, not instructions. Define the problem before prescribing the solution • Engage stakeholders. Synthesize signal from the CEO, go-to-market, and customer success into decisions with explicit tradeoffs • Read and navigate the codebase. Python/Django backend, React/Next.js/TypeScript frontend • Own QA end-to-end. Write test plans, execute regression passes, and sign off on deployments • Run sprint ceremonies. Standups, planning, retros — lean and outcome-focused.

• Take ownership of core product components from concept to deployment. • Collaborate with the Product team to design scalable and maintainable architectures. • Participate in (and lead) code reviews and ensure best practices across the team. • Mentor junior and mid-level developers, providing guidance and fostering growth. • Contribute to hiring and onboarding new team members. • Maintain high code quality and application performance in a fast-paced, high-traffic environment. • Set up and improve CI/CD pipelines and development workflows. • Monitor, debug, and improve the stability and scalability of the system. • Help shape the engineering culture as the team grows.

Role Description We’re looking for engineers who take initiative, spot opportunities, and move ideas forward proactively. Builders who are excited to use AI as a core part of how they work, think from first principles, and keep things simple – not people who just want to hand-craft every line of code. You’ll be hands-on in the Web SDK and backend services that support it, working on real features used by major sports and media organisations, and using AI heavily to design, build and refine solutions. You’ll join the team responsible for our Web SDK and the services it talks to. The SDK is how customers embed fast, beautiful, interactive Stories experiences into their own products, so integration quality, performance and developer experience really matter. This is a hands-on coding role, but not a “shut the door and code in isolation” one: - You’ll use AI tools by default to explore, scaffold and refactor. - You’ll think in terms of problems, constraints and outcomes, not just tickets. - You’ll care about how easy we are to integrate with as much as how elegant the code looks. - You won’t be managing people or owning a team – but you will be expected to own your work end-to-end, contribute to how we solve problems, and help us keep raising the bar. Responsibilities - Build and ship features - Own features end-to-end: understand the problem, design a simple solution, build it (often with AI assistance), test it, and refine based on feedback. - Improve performance, reliability and developer ergonomics of the Web SDK and supporting services. - Debug tricky issues across the SDK, backend and browser – using logs, metrics and good hypotheses rather than guesswork. - Solve real customer problems - Work with Product and Delivery to understand real customer use-cases and constraints. - Propose simple, pragmatic solutions instead of over-engineering. - Help streamline the integration experience so partners can get to “first story live” quickly and safely. - Improve developer experience - Enhance documentation, code examples, and integration guides, often using AI to draft and then editing for clarity. - Identify friction points for integrators and proactively champion improvements. - Make small, continuous DX improvements (tooling, scripts, templates) rather than waiting for a big “clean-up project”. - Engineering excellence - Use AI tools by default for exploration, scaffolding and refactors – and then verify outputs with tests, types, and your own judgement. - Use first-principles thinking to cut through complexity: start from the goal and constraints, choose the simplest thing that works, and be willing to delete your own code when a better approach appears. - Participate in thoughtful code reviews: give clear, kind, direct feedback and be open to having your own ideas challenged. - Help improve CI pipelines, test suites and dev scripts so the whole team moves faster and more safely over time. - Maintain high ownership and follow-through from idea to release: surface blockers early, communicate clearly, and finish what you start. Qualifications - 2–4 years of hands-on experience with TypeScript/JavaScript in production environments. - Strong knowledge of React, Node.js or similar modern frontend frameworks – you’re comfortable working across browser and server. - Familiarity with APIs/HTTP, performance tuning, and SQL/NoSQL basics. - A proactive mindset – you look ahead, anticipate problems, and propose solutions instead of waiting to be told what to do. - AI-native working style – you’re comfortable adopting new tools early, especially AI-assisted coding, and you see AI as the default starting point rather than a last resort. - Clear reasoning and trade-off thinking – you can explain why you chose one approach over another in simple language. - Strong written and verbal communication for remote collaboration. - Reliability – you deliver on commitments, surface blockers early, and take responsibility for the quality of your work. - You don’t need to have built a Web SDK before, but you should be comfortable working on libraries and APIs that other developers depend on. Nice to have - Experience building SDKs, libraries or developer tools. - Experience with performance tuning (bundle sizes, loading strategies, caching) in web apps. - Open-source contributions, side projects or technical write-ups that show how you think. - Interest in sports, media or content tech. Recruitment Process - Hiring Manager Conversation (20–30 mins): A short call to get to know you, share more about Storyteller and the Web SDK, and answer your questions. No coding. We’ll both aim to decide whether it makes sense to go deeper. - Paid Take-home Task (~60 mins): A small, focused task you can do in your own time. We compensate you for completing it regardless of the outcome. You’re welcome to use AI tools – we’re interested in how you reason, how you verify and simplify, and how you trade off options, not in how much you type. - Review and CTO Interview (60–75 mins): We’ll review your submission together, dig into your decisions, and you’ll meet Dave (CTO). We’ll talk about how you approach problems, how you use tools like AI, and how you like to work. Privacy Notice We process your personal data for recruitment purposes in line with UK data protection law. AI tools may assist in reviewing applications, but decisions are made by our team. We retain data only as necessary for recruitment and compliance. You can request access or deletion of your data at any time by emailing careers@getstoryteller.com.