Level

Lovable

Deal Desk Analyst

Lovable is hiring a Deal Desk Analyst for a remote role open to applicants in Sweden. Level rates it ; you can apply on Level.

AI in this role

Structure complex enterprise deals and build automated self-service workflows using AI tools and CPQ systems at Lovable.

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TL;DR - Lovable is hiring an Deal Desk Analyst (EMEA) to be the link between Sales, Finance, Legal and Product. You'll 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'll use AI to automate repetitive requests and make them self-serve. You'd be a good fit if you have enterprise B2B SaaS deal desk experience, know CPQ/QTC and modern billing tools (Stripe, Metronome, Tabs), understand ASC 606, and can draft contract terms.

Why Lovable?

Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.

We’re a small, talent-dense team building a generation-defining company. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.

What we’re looking for

At Lovable, we are scaling our sales-led motion to meet the demands of the world’s largest enterprises. We are looking for a strategic, high-energy Deal Desk Analyst to serve as the "connective tissue" between Sales, Finance, Legal, and Product.

You won’t just be "approving discounts." You will be the architect of complex deal structures, and a partner to our EMEA sales, legal, and finance teams. Your goal is to accelerate deal velocity while ensuring our largest contracts are sound, scalable, and successful.

You bring:

  • 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 your 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).

What you’ll do

  • Deal Structuring: 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.

  • Process Optimization: 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, and identify the most repetitive requests to automate or make self-serve

  • Cross-Functional Orchestration: Act as the primary liaison between Sales and key stakeholders (Legal, Finance, Security, and Product) to streamline the redlining and approval process, including contracts and security reviews.

  • Build, don't just operate: We build and maintain our own deal infrastructure, including our CLM, CPQ, and invoicing application, much of it on Lovable. You'll help design, test, and improve these systems, not just work within them.

  • Monetization & Pricing Strategy: Partner with Product, Finance, and GTM to support monetization experiments and structure new line items, thinking through packaging, pricing, and contracting implications early.

About your application

Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.

We treat all candidates equally - if you’re interested, please apply through our careers portal.

How we rate this

Deal Desk Analyst at Lovable rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Deal DeskContract NegotiationSaas PricingAI AutomationAsc 606StripeMetronomeTabs

Questions you could be asked

  1. Tell me about a project where deal desk was part of your work. What did you do?
  2. Tell me about a project where contract negotiation was part of your work. What did you do?
  3. Tell me about a project where saas pricing was part of your work. What did you do?
  4. Tell me about a workflow you automated with AI tools, end to end.
  5. Tell me about a project where asc 606 was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Deal Desk, Contract Negotiation, Saas Pricing, AI Automation, and Asc 606. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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