This role builds a deal desk from nothing, covering deal intake, approvals, pricing rules, and contract redlines at order-form level. A strong candidate has run a deal desk before, knows SaaS pricing, revenue recognition and ARR reporting, and has set up both a CPQ tool and Salesforce hands-on. Just as important is the ability to keep Sales moving fast while protecting margin, and to work well with Legal, Finance, and RevOps.
How it fits the AI era
AI handles much of the routine here: sorting incoming requests, flagging which deal changes need a new approval, and suggesting fallback contract language from a library of past decisions. The human part is judgment on unusual deals, negotiating with customers, and deciding when a risk is worth taking. The person in this seat designs the automations and decides where they should stop and a person should step in.
How it builds AI experience
The work involves building approval and quoting automations and a clause library that AI can draw on, so the hands-on AI experience is practical and tied to real revenue processes. Since the company sells a workflow automation platform, there is a natural chance to use the product itself on the team's own deal flow. Candidates can prepare by building a small approval or request-triage workflow in n8n and sharing a screenshot of it.
Worth showing
- Built a deal desk from scratch
- CPQ and Salesforce configuration
- Contract redlining without Legal
- Automated approval workflows
- SaaS pricing and ARR knowledge
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About N8n
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Deal Desk Manager in Berlin Arbeitgeber: present of AI
Adaptyv Bio ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, eine Finanzabteilung von Grund auf neu aufzubauen und dabei innovative Technologien zu nutzen. Mit einem flexiblen hybriden Arbeitsmodell in Lausanne fördern wir eine Kultur des Vertrauens und der Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen bieten, um Ihre Fähigkeiten in der Automatisierung und im Finanzmanagement weiterzuentwickeln. Hier haben Sie die Chance, an der Spitze der KI-gestützten Forschung zu arbeiten und einen echten Einfluss auf die Zukunft der Wissenschaft zu nehmen.
