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Deal Desk Analyst

Lovable Stockholm, Sweden
Full-time On-site work

Publication date: 07/11/2026

Lovable is hiring a Deal Desk Analyst (EMEA) to be the link between Sales, Finance, Legal and Product. You will structure complex enterprise deals (multi-year, ramps, consumption-based), own non-standard terms and approvals, and help build the deal tools themselves: CPQ, CLM and invoicing, much of it running on Lovable. You will use AI to automate repetitive requests and make them self-serve.

Responsibilities

Partner with Enterprise AEs to craft commercial structures (multi-year, ramp deals, consumption-based models) that align with customer needs and company goals; Be the day-to-day escalation point for EMEA-based AEs on non-standard terms, approvals, order forms, amendments, and renewals; Design (and streamline) internal sales policies, pricing guidelines, and contract review and approval workflows; Ensure all non-standard terms are documented, approved, and capable of being operationalized; Identify the most repetitive requests to automate or make self-serve; Act as the primary liaison between Sales and key stakeholders (Legal, Finance, Security, and Product) to streamline redlining and approval, including contracts and security reviews; Help design, test, and improve CLM, CPQ, and invoicing systems; Partner with Product, Finance, and GTM to support monetization experiments and structure new line items

Requirements

Deep Deal Desk experience in a fast-paced, B2B SaaS environment (Enterprise experience is a must); Deep expertise with CPQ tools and connection to QTC processes; Strong experience with modern billing systems (e.g., Stripe, Metronome, Tabs); Deep experience leveraging AI to automate workflows and scale self-service across the sales team; Great communication, organization, and collaboration skills to act as a strategic partner to Sales and across functions; Ability to read, understand and draft contractual business terms and conditions; Deep experience and understanding of the SaaS and Consumption business models; Strong customer service orientation and a desire to help others succeed; Strong understanding of software revenue recognition principles (ASC 606 or equivalent)
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