✨ One platform, a whole world of opportunity The best jobs are often restricted to a few wealthy cities, but talent exists everywhere. Oyster set out to change this by launching a global employment platform that enables companies to hire, pay, and support talent anywhere. We’re proof that a strong, engaged culture doesn't require an office. Since January 2020, Oyster has: 🌏 Built a distributed team of 400+ across 60+ countries 👩‍💻 Featured in Forbes as #9 in FlexJobs Top 30 Companies for remote jobs 🌈 Formed a diverse leadership team and a workforce that’s 60% female 🏆 Earned top employee engagement scores 🦄 Raised $286 million; valued at $1.2 billion 💚 Achieved B Corp status in 2023 Our momentum shows the power of global employment, and we’re just getting started! If you want to help us drive change and work remotely, we’d love for you to apply! Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience, this role requires you to be within +1/ -4 UTC. Role Summary You’ll join the Engineering team at Oyster to drive company-wide efficiency through AI and workflow automation. In this role, you’ll own internal AI automations built primarily with n8n and complementary tools, helping teams reduce manual work, streamline processes, and use AI safely in their day-to-day workflows. While you will mainly rely on n8n’s pre-built nodes, you will also be expected to write custom code whenever standard integrations are not enough. You’ll design, operate, and continuously improve the automation layer that connects our tools, data, and AI models across the company, with a focus on reliability, scalability, security and long-term sustainability. Working closely with Product, Engineering and Business Units, you’ll turn evolving business needs into secure, compliant, and production-ready automations that scale as Oyster grows. Key Responsibilities Drive efficiency with AI automations in n8n – Build, ship, document and improve workflows that connect tools, data, and AI models to automate manual processes across departments. Keep automations running smoothly – Use error handling, retries, alerts, and logging to catch issues early and fix them fast. Keep AI reliable and safe to use – Help teams get consistent AI results while keeping data secure and compliant. Make automations usable and sustainable – Help teams adopt automations and keep them working well as needs change. Own internal n8n excellence – Define best practices and continuously improve how n8n is used across teams. Core Requirements