• Serve as the owner of Salesforce and connected GTM systems, including Sales Cloud, CPQ, Conga, and integrations. • Own the end-to-end revenue data model across lead, opportunity, quote, contract, renewal, and expansion workflows. • Define and manage the roadmap for revenue systems, balancing new capabilities, usability, and technical debt. • Ensure systems are reliable, scalable, and trusted as the operational system of record. • Partner with Sales, Marketing, Customer Success, Product, Finance, and Leadership to translate business needs into effective system design. • Balance competing stakeholder priorities and make thoughtful tradeoffs in service of the company as a whole. • Ensure systems support how teams actually work, not just how metrics are reported. • Design dashboards and forecasting frameworks that provide leadership with clear visibility into performance, risk, and opportunity. • Architect, administer, and continuously improve the Salesforce instance, including Sales Cloud, CPQ, and Conga. • Establish guardrails, controls, and validation to maintain data integrity without slowing teams down. • Lead and develop a team covering Business Intelligence and Salesforce Administration.

• Own the end-to-end revenue operations engine across Sales, Growth, and Customer teams. • Design the systems, data models, and processes that make revenue predictable and GTM execution surgical. • Own CRM architecture, forecasting, compensation design, deal desk, and analytics. • Turn noisy signals across compute usage, post-training work, and pipeline into clear decisions and repeatable motion. • Own GTM systems across the funnel - CRM, marketing automation, product analytics, billing, and data warehouse. • Design and maintain CRM architecture so that pipeline, stages, and fields reflect reality and support accurate forecasting. • Build and standardize reporting for leadership: pipeline health, conversion rates, cohort performance, NRR, GRR, compute GMV. • Partner with Head of Enterprise Sales and AEs on territory design, quota setting, compensation plans, and performance tracking. • Run deal desk for complex deals - pricing structure, approvals, non-standard terms. • Connect product usage and compute consumption data to revenue metrics for usage-based and hybrid models. • Define and implement lead routing, SLAs, and handoffs between Marketing, Sales, TAM, and Solutions. • Automate repetitive GTM workflows so Sales and CS can focus on customers, not admin. • Create and maintain a single source of truth for revenue data across tools and teams. • Partner with Finance on revenue recognition, forecasting assumptions, and board reporting inputs. • Evaluate and manage the GTM tech stack - select tools, own vendor relationships, ensure adoption. • Build documentation and playbooks for how we run revenue operations as the team scales.

Role Description At atmio, we have a clear mission: to make methane emissions measurable and significantly reduce them. Our hardware makes invisible emissions visible, and our software helps operators stay compliant and reliably meet the latest EU regulations. This is how we create measurable climate protection with real impact. To continue scaling, we need clean data, clear processes, and well-founded decisions. That’s why we are looking for a Working Student Revenue Operations (RevOps) to strengthen the operational core of our Revenue team together with our Chief of Staff. In this role, you will work across the entire revenue bow tie – from Marketing to Sales to Customer Success – and help take data quality, analytics, and processes to the next level. You will build the foundations that are critical for growth, transparency, and investor reporting. Responsibilities - You expand and structure revenue-relevant data (companies, contacts, deals) using scraping, enrichment tools, APIs, and other data sources. - You analyze, model, and automate revenue processes across Marketing, Sales, and Customer Success (including pipelines, properties, and workflows), with a strong focus on AI-powered tools. - You design, build, and maintain revenue dashboards, KPIs, and data models for internal steering, forecasting, and investor reporting. - You conduct ad-hoc analyses and deep dives (e.g., funnel and conversion analyses, deal reviews, cohort analyses). Qualifications - You are currently enrolled as a student (Bachelor’s or Master’s) and available for at least 12 more months. - Experience with no-/low-code and AI-powered automation tools (e.g., n8n, Zapier, Make, LLM tools). - Experience with web scraping, data enrichment, and working with external data sources. - Confident working with data, KPIs, and analytical tasks (e.g., reports, dashboards, analyses). - Basic understanding of revenue metrics and processes (e.g., pipeline, forecasting, conversion rates, funnel). - Experience working with CRM systems (e.g., HubSpot or similar). - Highly structured, analytical, and independent working style. - First practical experience in a startup, scale-up, consulting, or operations-/data-related environment. - Fluent in English. Nice to have - Fluent in German. Benefits - Remote Work: Work from our hubs in Hamburg, Munich, and Barcelona – or fully remote within Germany. - Unlimited Vacation: Take as much time off as you need to recharge. - Flexible Working Hours: Work when you’re most productive. - Health Matters: Wellpass & 1:1 sessions with psychologists and workshops via our partner Bloom. - Learning & Development: Personal training budget for skills and career growth. - Stock Option Plan: Virtual shares as a thank-you for your contribution and commitment. - Team Retreats: Regular offsites to connect, recharge, and have fun with your team. - Deutschlandticket & BahnCard: Travel flexibly.

• Own the end-to-end Revenue Operations strategy for the Individual Doctors segment; • Partner with Marketing, Sales, and Customer Success leadership to design, execute, and optimize lead-to-revenue processes; • Build and maintain dashboards, KPIs, and forecasting tools to track funnel performance, conversion rates, and growth drivers; • Lead systems and tooling enhancements (CRM, marketing automation, customer platforms) to enable scalability and visibility; • Identify operational bottlenecks and lead cross-functional initiatives to resolve them; • Create lead scoring, routing, and segmentation logic to improve acquisition efficiency; • Design playbooks and workflows to drive adoption and retention across the funnel; • Ensure governance, data hygiene, and operational rigor across revenue platforms;