<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>About the position</strong></p><p>Synthesia is the leading AI video platform for businesses, trusted by more than 90% of Fortune 100 companies. Founded in 2017, Synthesia operates globally with teams across Europe and the United States.</p><p>As AI continues to transform how people communicate and learn, Synthesia develops products that improve visual communication and enterprise learning experiences, helping organizations work more effectively and at scale.</p><p>Following a recent Series E funding round of $200 million, the company is now valued at $4 billion, with total funding exceeding $530 million from leading investors including Accel, NVentures (NVIDIA’s venture arm), Kleiner Perkins, GV, and Evantic Capital, alongside founders and operators from companies such as Stripe, Datadog, Miro, and Webflow.</p><p><br/></p><p><strong><br/>About the rol</strong></p><p>eAs a Backend-Leaning Full Stack Engineer, you will work on the systems and experiences that power content localisation across the Synthesia platform, taking ownership of problems from backend implementation through to customer-facing product experiences</p><p>.You will develop and deliver localisation capabilities across the full stack, including APIs and backend services that power language workflows, data models that manage localisation states across content, and user interfaces that allow customers to review, manage, and publish localised videos directly within Synthesia</p><p>.This is a true full-stack position, requiring meaningful ownership of both backend and frontend development rather than simply handing off APIs to other teams</p><p>.You’ll be responsible for delivering complete product experiences that span multiple layers of the platform</p><p><br/></p><p><strong>.<br/>What you'll be working </strong></p><ul><li>onBuilding localisation workflows end-to-end, from data modeling and API design through to customer-facing interfac</li><li>esDesigning and enhancing glossary management and translation memory experiences that help customers maintain consistency across languag</li><li>esDeveloping review and approval workflows that enable teams to collaborate effectively before content is publish</li><li>edImproving how localisation status, progress tracking, and quality metrics are surfaced to users in a clear and actionable w</li><li>ayMeasuring success through customer-focused metrics such as workflow completion rates, publishing speed, and adoption of localisation workflows within the platfo</li><li>rmWorking closely with Product, Design, ML Engineers, and the broader localisation team to bridge backend capabilities with the user experience customers interact with dai</li></ul><p><br/></p><p><strong>ly<br/>What we're looking </strong></p><ul><li>forSeveral years of experience building and shipping full-stack features in production environme</li><li>ntsStrong backend engineering fundamentals (Synthesia primarily uses Python/FastAPI) combined with solid frontend development experie</li><li>nceExperience designing and implementing complex, stateful product experiences involving multi-step workflows, content versioning, and interconnected application sta</li><li>tesConfidence owning a feature from initial data model and API design all the way through to frontend implementation and customer deliv</li><li>eryHands-on experience working with LLMs through APIs, including prompt engineering and integrating language models into product functional</li><li>ityStrong product ownership mindset and ability to deliver end-to-end soluti</li></ul><p><br/></p><p><strong>ons<br/>Nice to </strong></p><ul><li>haveExperience with localisation platforms such as Phrase, Lokalise, or similar t</li><li>oolsFamiliarity with workflow orchestration systems such as Temp</li><li>oralExperience working with React or modern frontend framew</li><li>orksPrevious exposure to AI-powered products, content workflows, or multilingual platf</li></ul><p><br/></p>orms </div>