Deal Desk Manager

Sorry, this job was removed at 08:01 p.m. (CST) on Tuesday, Jun 03, 2025
Be an Early Applicant
Hiring Remotely in United States
Remote
Machine Learning • Software
The Role
At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.

Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota.

We’re looking for a detail-oriented and strategic Deal Desk Manager to join our growing RevOps team. This individual will partner closely with Sales, Finance, Legal, and Product to streamline deal execution, ensure pricing consistency, and drive operational efficiency across our commercial motion. The ideal candidate has hands-on experience with both usage-based and seat-based pricing models, and a deep understanding of CPQ tools like Salesforce CPQ or DealHub.

Responsibilities

  • Act as the primary point of contact for deal structuring, pricing, and approval workflows
  • Manage and optimize the deal approval process, including ownership and maintenance of the approval matrix
  • Partner with Sales and Finance to ensure compliance with pricing policies and revenue recognition standards
  • Collaborate cross-functionally to support new product/pricing launches and implement changes into CPQ systems
  • Serve as a subject matter expert for usage-based and seat-based pricing models within the deal process
  • Review and approve complex deals to ensure margin protection and policy alignment
  • Identify and implement process improvements that reduce deal cycle time and increase scalability
  • Deliver training to sales teams on pricing tools, discount policies, and deal processes

Requirements

  • 4+ years of experience in Deal Desk, Revenue Operations, or related function in a SaaS or tech company
  • Direct experience supporting usage-based and seat-based pricing models
  • Strong proficiency in Salesforce CPQ or DealHub (at least one required)
  • Demonstrated experience owning and evolving a deal approval matrix
  • Excellent communication and stakeholder management skills
  • Strong analytical and problem-solving abilities; Excel/Sheets proficiency required
  • Highly organized and able to manage multiple priorities in a fast-paced environment

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at [email protected].

#LI-Remote

Similar Jobs

Motive Logo Motive

Senior Deal Desk Manager

Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Easy Apply
Remote
United States
4000 Employees
142K-180K Annually

Dandy Logo Dandy

Deal Desk Manager

Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
Remote
USA
1800 Employees
126K-148K Annually
Easy Apply
In-Office or Remote
2 Locations
213 Employees

AlphaSense Logo AlphaSense

Deal Desk Contracting Manager

Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Business Intelligence
Easy Apply
Remote or Hybrid
United States
2000 Employees
88K-130K Annually
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
132 Employees
Year Founded: 2017

What We Do

Weights & Biases helps machine learning teams build better models faster. With a few lines of code, practitioners can instantly debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions — and collaborate with their teammates.

Similar Companies Hiring

Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY
Bellagent Thumbnail
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago, IL
20 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account