Deal Desk Manager

present of AI; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

present of AI in Berlin is seeking an experienced deal desk leader to own the end-to-end process for SaaS deals, from intake and approvals to pricing rules and contract redlines at the order-form level. The ideal candidate has run a deal desk before, knows SaaS pricing, revenue recognition and ARR reporting, and has set up CPQ and Salesforce hands-on.

They will design automations and governance for AI-enabled workflows while collaborating with Legal, Finance and RevOps.

Qualifications

• Experience building or running a deal desk for SaaS businesses.
• Proficient in SaaS pricing, revenue recognition, and ARR reporting.
• Hands-on CPQ and Salesforce configuration.
• Ability to protect margin while keeping Sales moving.
• Collaborates with Legal, Finance and RevOps.

Responsibilities

• Own deal intake, approvals, pricing rules, and order-form level redlining.
• Design automations and clause library for AI-enabled workflows.
• Build approval workflows and triage processes (e.g., in n8n or similar).
• Partner with Legal, Finance and RevOps to reduce risk.
• Showcase deals and drive faster quote-to-cash.

Skills

Deal desk leadership

SaaS pricing

ARR reporting

Revenue recognition

CPQ

Salesforce hands-on

Margin protection

Cross-functional collaboration

Tools

CPQ tool

Salesforce

Job description

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