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Factory

Deal Desk Lead

Factory is hiring a Deal Desk Lead in San Francisco, United States. Level rates it ; you can apply on Factory.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions Databricks, Salesforce and Salesforce Revenue Cloud among its tools and skills.
  • Level classes it as a lead role.
  • Factory has 68 other open roles on Level.

AI in this role

Lead the deal desk and revenue operations function, optimizing quote-to-booking workflows using company tooling.

databrickssalesforcesalesforce-revenue-cloudcpq
deal-deskrevopssales-operationspricingquoting

About Factory

Our mission is to create a world where software builds and improves itself.

We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle.

In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).

About the Role

As Deal Desk Lead, you will be a founding member of our GTM Strategy & Operations team where you will own the buildout of our deal operations and deal desk functions from the ground up.

You will own all systems, workflows, and day-to-day operations for quoting, pricing, deal terms approvals, custom deal structures, and deal bookings. You will work closely with Sales, Partnerships, Finance, and Legal stakeholders to make sure that the process of structuring, configuring, approving, and booking deals is frictionless and optimized for deal velocity and value maximization.

This is a hands-on individual contributor role that has potential to evolve into a people manager role as our GTM scales. This role reports to the Head of GTM Strategy & Operations. This is an in-office role based in our San Francisco headquarters.

What you will do and achieve

  • Design, manage, and consistently improve all quote-to-booking processes and tooling.

  • Be the primary business and technical owner for the Salesforce Revenue Cloud CPQ instance.

  • Own the integrity of all bookings data in CRM/CPQ (Opportunities, Opportunity Products, Quotes, Quote Lines, Assets, Subscriptions, etc.).

  • Review deals for booking readiness, resolve discrepancies, and ensure approved commercial terms are accurately reflected across CRM and CPQ.

  • Partner with Sales Leadership, Finance, and Legal to establish clear frameworks for pricing, deal terms review, approvals, and contract review.

  • Guide the Sales team toward deal structures that increase velocity and maximize value.

  • Find novel ways to use Factory droids to streamline quote-to-booking processes.

Qualifications

  • 5+ years of experience in Deal Desk, Revenue Operations, Sales Operations, or a related function.

  • Strong hands-on experience administering Salesforce Revenue Cloud or a comparable CPQ platform.

  • Deep understanding of quote-to-booking processes, including quoting, pricing, approvals, contracting, and booking.

  • Strong understanding of SaaS pricing, discounting, commercial terms, and contract structures.

  • Experience supporting complex and non-standard deals in an enterprise SaaS environment.

  • A technical mindset and the ability to build, troubleshoot, and improve systems, workflows, automations, and integrations.

  • Exceptional attention to detail and a willingness to work directly at the record level to identify and resolve discrepancies.

  • Experience working cross-functionally with Sales, Finance, Legal, Data, and Operations.

  • Experience designing systems and processes for a rapidly growing company.

  • Strong AI fluency and a practical instinct for using AI to increase leverage.

This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)

How we rate this

Deal Desk Lead at Factory rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  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. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Deal DeskRevopsSales OperationsPricingQuotingDatabricksSalesforceSalesforce Revenue Cloud

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 revops was part of your work. What did you do?
  3. Tell me about a project where sales operations was part of your work. What did you do?
  4. Tell me about a project where pricing was part of your work. What did you do?
  5. Tell me about a project where quoting was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Deal Desk, Revops, Sales Operations, Pricing, and Quoting. 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.

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