Revenue Operations Engineer | AI & Automation (m/f/d)

<p><strong>At Superchat, we're rebuilding how businesses talk to their customers. The phone call, the contact form, the support ticket: all of it is being replaced by messaging and AI. We're building the platform that runs underneath.</strong></p> <p>Founded in 2020, Superchat has become the platform of choice for <strong>10,000+ businesses worldwide</strong>, from globally recognized brands like Allianz, Auto1, Enpal, Danone, and GASAG to the small businesses, dental practices, and one-person startups that need to look bigger than they are. Today, <strong>millions of messages flow through Superchat every single day</strong>.</p> <p>We started as a unified inbox: one place for every channel a customer might pick, WhatsApp, email, SMS, Instagram. Then ChatGPT happened, and the second chapter began: AI agents that respond across chat, email, and voice at the quality of the best human teams.</p> <p>We're <strong>100 people</strong>, <strong>profitable</strong>, and have raised <strong>€18M in funding</strong> (last round 4.5 years ago, we've been growing on our own money since). Headquartered in Berlin.</p> <p><em>As a Revenue Operations Engineeer you anchor the build end of Revenue Operations - our internal product team whose customers are the GTM functions: Sales, CS, Marketing, and Finance. You build the AI, automation, and data foundations that make these teams faster, smarter, and more scalable, owning the end-to-end delivery of internal tools, integrations, and AI-powered workflows - from problem framing and architecture through launch, adoption, and measurable business impact.</em></p> <h4><span style="text-decoration: underline;"><strong>Who We Want</strong></span></h4> <p><strong>Proven GTM Systems Builder.<br></strong>You bring 3+ years of hands-on experience in RevOps, GTM Engineering, SalesOps, Business Systems, or a comparable B2B SaaS role, and can show production systems you personally built.</p> <p><strong>AI-Native Builder.<br></strong>You've integrated LLMs into real workflows or tools through APIs and understand how to move beyond prompting into reliable, production-ready use cases.</p> <p><strong>Product-Minded Systems Thinker.<br></strong>You start with the user and business problem, map the relevant process and data dependencies, and choose the simplest scalable solution rather than defaulting to a particular tool.</p> <p><strong>Integration & Data Fluent.<br></strong>You're comfortable working with APIs, webhooks, JSON, authentication, data models, and the movement of data between multiple systems.</p> <p><strong>End-to-End Owner.<br></strong>You can take a project from discovery and architecture through building, testing, rollout, documentation, monitoring, and ongoing improvement.</p> <p><strong>Pragmatic Production Engineer.<br></strong>You ship quickly without treating reliability as optional, including appropriate testing, error handling, security, observability, and documentation.</p> <p><strong>Business-Impact Oriented.<br></strong>You connect t