Deal Desk Manager

Deal Desk Manager at n8n. About the role At n8n, we are looking for a Deal Desk Manager to spearhead the establishment of our new Deal Desk function, with a strong emphasis on AI-driven automation. This pivotal role will involve refining our commercial processes, providing guidance to the sales team regarding deal structures, and ensuring that transactions are efficient and protect our profit margins. You will play a crucial role in enhancing our sales cycle and ensuring the integrity of our data. Key facts Location: Berlin Office Engagement: Full-Time Compensation: Competitive salary, equity options, and comprehensive benefits. Team: Finance & Legal What you'll do Build the Deal Desk function at n8n from the ground up, focusing on integrating AI and automation into processes such as intake, approval workflows, and pricing strategies. Offer strategic insights to the Sales team on how to structure deals and set pricing that protects margins while speeding up the sales cycle. Develop and uphold transparent discount and pricing policies that empower the Sales team to handle deals autonomously, minimizing the need for frequent escalations. Facilitate monthly and quarterly strategy sessions aimed at enhancing deal velocity, especially during critical month-end and quarter-end periods. Oversee the management of contract redlines and non-standard terms, aiming to reduce the involvement of the Legal team in standard negotiations. Create a detailed library of redline clauses that will enable AI to propose alternative terms for typical deals. Implement automation for approvals and quoting within the CPQ system, utilizing AI to categorize incoming requests and flag deal changes that necessitate re-approval. Take responsibility for the quality of data within Salesforce, ensuring that all executed contracts are accurate and well-organized. Assist the Customer Success team in structuring unique renewal and expansion agreements. Manage security and compliance inquiries, such as Data Processing Agreements (DPA) and SOC 2 addenda, in collaboration with Sales, Security, and Legal teams. Produce monthly performance reports for the Deal Desk, analyzing metrics such as cycle time, discounting practices, and exceptions. Requirements Extensive experience in creating and managing a deal desk function, demonstrating more than just adherence to existing processes. In-depth knowledge of SaaS pricing strategies, revenue recognition principles, Annual Recurring Revenue (ARR) reporting, and enterprise-level contract frameworks. Proven ability to negotiate and redline order-form terms directly with clients, with an understanding of when to involve the Legal team. Practical experience in configuring and managing both CPQ systems and Salesforce. An AI-native mindset, with specific examples of automated workflows or approval processes that you have successfully implemented. Strong communication skills, capable of influencing and managing complex relationships with stakeholders across Sales, Legal, Revenue Operations, and Finance. Nice to have Experience in establishing a deal desk or similar function from the ground up, including the development of processes and policies. Familiarity with contemporary CPQ and billing platforms, such as Salesforce CPQ, Hyperline, or Solvimon. A genuine interest in n8n, ideally with experience in building workflows using our platform. Skills & tools CPQ Salesforce AI Automation Practical notes Visa sponsorship is available for candidates in Germany; for applicants from other countries, existing work authorization is required. The primary language of the company is English. We encourage applicants to explore n8n and share a screenshot of their first workflow. Benefits competitive compensation equity options 30 days of vacation in Europe (20 days in the US) health and wellness plans pension contributions (in Europe) or a 401(k) with a 4% match (in the US) €1,000 annual learning budget remote-first work culture with off-site events $100 monthly contribution towards open-source projects unlimited budget for AI resources #J-18808-Ljbffr