Senior Software Engineer, Billing & Expansion Team - US (Remote)

Sorry, this job was removed at 05:24 p.m. (CST) on Thursday, Jan 09, 2025
Hiring Remotely in San Francisco, CA
Remote
177K-245K Annually
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.


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.

What you’ll achieve (Responsibilities):

  • 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.

What we’re looking for (Requirements):

  • 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.

  • 🏝️ Flexible time off
  • 🩺 Medical, Dental, and Vision for employees and Family Coverage
  • 🏠 Remote first culture with in-office flexibility in San Francisco
  • 💵 Home office budget with a new high-powered laptop
  • 🥇 Truly competitive salary and equity
  • 🚼 12 weeks of Parental leave (U.S. specific)
  • 📈 401(k) (U.S. specific)
  • Supplemental benefits may be available depending on your location

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

The Company
HQ: San Francisco, CA
132 Employees
On-site Workplace
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.

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