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

About this role

<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 &amp; 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 technical work to measurable outcomes such as pipeline, productivity, data quality, speed, cost, or customer experience.</p> <p><strong>Clear Cross-Functional Communicator.<br></strong>You can explain technical decisions simply, manage trade-offs, work through ambiguity, and collaborate effectively with both technical and non-technical stakeholders.<br>You are fluent in written and spoken English; German is a plus.</p> <p><strong>Curious &amp; Self-Directed.<br></strong>You actively experiment with new technologies, learn through building, and share useful findings without chasing novelty for its own sake.</p> <h4><span style="text-decoration: underline;">Who We Don’t Want</span></h4> <p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="3:1-4:145;22-205"><strong>Uses tools without hands-on depth.</strong> <br>You've used CRM and AI tools but lack hands-on experience building automations, configuring systems, or solving operational problems end-to-end.</p> <p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="6:1-7:121;207-378"><strong>Struggles with cross-functional GTM processes.</strong> <br>You find it hard to understand how operational decisions ripple across the wider GTM motion and the business as a whole.</p> <p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="9:1-10:111;380-530"><strong>Weak on the technical fundamentals.</strong> <br>You struggle with APIs, JSON, data models, authentication, debugging, or moving data reliably between systems.</p> <p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="12:1-13:137;532-713"><strong>Can't connect the build to the business.</strong> <br>You can't explain technical choices clearly, manage trade-offs, influence stakeholders, or connect a build to its wider business impact.</p> <p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="15:1-16:128;715-886"><strong>Uses AI without shipping anything real.</strong> <br>You use ChatGPT or Claude but can't point to an LLM-powered workflow, integration, or tool you've personally built and shipped.</p> <p class="font-claude-response-body break-words whitespace-normal" data-sourcepos="18:1-19:169;888-1108"><strong>Builds without thinking about what comes after.</strong> <br>You've built isolated automations without considering maintainability, documentation, ownership, failure handling, or how the solution fits into the wider architecture.</p> <h4><span style="text-decoration: underline;">Your Day To Day</span></h4> <p>Building: AI, Automation &amp; Systems (~ 65%)</p> <ul> <li>You identify and productionize high-leverage AI use cases across Sales, Customer Success, Marketing, and Finance, including LLM integrations, workflow design, evaluation, guardrails, and monitoring</li> <li>You design and build lightweight internal applications and interfaces that remove recurring manual work, i