Senior Software Engineer, Weights & Biases
Billing & Expansion Team
$177-245k
+ Equity
MLOps platform for developers
Open for applications
MLOps platform for developers
201-500 employees
Open for applications
$177-245k
+ Equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 5+ years of experience in software engineering
- Strong software engineering fundamentals and knowledge of at least 1 modern programming language (Python, Go, Typescript, etc)
- Proven ability to collaborate cross-functionally, especially with Product, Data, Finance, and GTM teams, to gather requirements and deliver impactful features
- Commitment to a customer-first mindset and an ability to balance long-term and short-term objectives, prioritizing what’s best for the customer and the company’s growth
- Experience in payment/metering systems is a plus
What the job involves
- The Billing & Expansion team at Weights & Biases is dedicated to simplifying the process of evaluating, purchasing, and managing W&B subscriptions to drive revenue growth and customer satisfaction
- This crucial team ensures our billing and licensing systems meet the needs of AI practitioners and our business
- As a Senior Software Engineer, you will lead initiatives in pricing, licensing, and billing infrastructure, directly impacting how customers and internal teams engage with our products
- Design and maintain a scalable billing platform that supports Weights & Biases growth, integrating with billing vendors for optimal user experience
- Collaborate with Product, Data, Finance, and Go-To-Market (GTM) teams to develop features that meet business needs, optimize pricing, and drive customer expansion
- Mentor fellow engineers, sharing best practices and advocating for long-term architectural solutions
- Enhance data models and systems to ensure accurate, fair, and transparent billing processes
- Develop tools and integrations for internal teams to seamlessly use billing data for better decision-making and customer service
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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