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$ cat jobs/senior-revenue-operations-engineer-ai-automation-f-m-d-superchat-c9814d625bdc.json

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

Superchat·EU·Berlin, Berlin, Germany·senior
llm
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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. Founded in 2020, Superchat has become the platform of choice for 10,000+ businesses worldwide , 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, millions of messages flow through Superchat every single day . 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. We're 100 people , profitable , and have raised €18M in funding (last round 4.5 years ago, we've been growing on our own money since). Headquartered in Berlin. As a Senior 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. Who We Want Proven GTM Systems Builder. 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. AI-Native Builder. You've integrated LLMs into real workflows or tools through APIs and understand how to move beyond prompting into reliable, production-ready use cases. Product-Minded Systems Thinker. You start with the user and business problem, map the relevant process and data dependencies

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