Deal Desk Manager, Weights & Biases
$129-218k
MLOps platform for developers
Be an early applicant
MLOps platform for developers
201-500 employees
Be an early applicant
$129-218k
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.
The company has also launched a product to help different parties collaborate on machine learning models. This is geared at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterpise companies like Samsung and Salesforce.
The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
31% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2023
$50m
LATE VC
Oct 2021
$135m
SERIES C
Total funding: $250m
Company benefits
- 🏝️ Unlimited vacation time
- 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
- 🏠 Remote first culture with in-office flexibility in San Francisco
- 💵 $500 home office budget with new high-powered laptop
- 🥇 Truly competitive salary and equity
- 🚼 12 weeks of Parental leave
- 📈 401(k)
Company HQ
SoMa, San Francisco, CA
Leadership
Chris Van Pelt
(CISO)Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).
Lukas Biewald
(CEO)Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).
Shawn Lewis
(CTO)Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.
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