Commercial Counsel, Weights & Biases
$148-203k
+ Equity
More information about location
MLOps platform for developers
Job no longer available
MLOps platform for developers
201-500 employees
Job no longer available
$148-203k
+ Equity
More information about location
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- JD and a member of a U.S. state Bar in good standing (CA preferred)
- 4+ years of combined experience in-house and at a law firm, including commercial and tech transactions experience, preferably at a VC-backed technology company
- Substantive knowledge of SaaS and software licensing
- A track record of closing challenging deals
- Practical, solution-oriented and ready to roll up your sleeves
- Excellent communication skills with the ability to translate complex legal concepts into easy-to-understand advice
- Interest in machine learning technology and applications
- This role is required to work in PST hours
What the job involves
- Reporting to the Head of Legal, the Commercial Counsel (West Coast, Remote) is a strategically important role that will support W&B at a time of rapid growth
- The Commercial Counsel will partner closely with internal business teams on a broad variety of transactional and other business matters
- Review and negotiate master subscription agreements with enterprise customers, working closely with Sales and Finance to drive deals to closure
- Review and negotiate a wide range of other commercial agreements, including vendor agreements, DPAs and partnership agreements, working with stakeholders across the organization
- Develop Legal enablement materials and conduct trainings for the GTM team
- Implement and improve policies and processes to manage legal and business risk on a global scale
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
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 values
- We're building a culture where people love coming to work to build cool things and collaborate with other smart people
- It’s important to us that everyone feels comfortable being themselves and being honest with each other, and all of us take responsibility for making our customers successful
- We love to work with people who are driven, kind and proactive
- We care about diversity and if you are part of an underrepresented minority, we especially encourage you to apply to work here
- We are contributing to responsible AI with tools for transparency and reproducibility in model development and deployment
Company HQ
SoMa, San Francisco, CA
Articles
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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