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 Full Stack Engineer with a strong frontend background to join our Billing & Expansion team — the team responsible for streamlining how users try, buy, and grow with W&B. You’ll build user-facing experiences that help customers understand our value and manage their subscriptions with confidence.

This role is ideal for engineers who love creating delightful product experiences, thrive in cross-functional environments, and are motivated by impact and growth.

Responsibilities:

• Build end-to-end features that make it easier for customers to evaluate, upgrade, and manage their W&B subscription, with a focus on UI/UX excellence and performance.

• Own and evolve critical flows in pricing, licensing, and billing — including onboarding, acquisition, and activating drive expansion and revenue.

• 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 UIs and integrations for internal teams to seamlessly use billing data for better decision-making and customer service.

Requirements:

• 3+ years of experience in software engineering, including strong hands-on work in modern frontend frameworks (e.g. React, TypeScript).

• Experience building and shipping full-stack features with clear product impact.

• Deep empathy for users and a product mindset — you care about the “why” behind what you’re building.

• 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.

Benefits:

• 🏝️ 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

$146,000 - $203,000 a year

This position has an annual estimated salary of $146,000 - $203,000 per year. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. The actual pay may vary depending on your skills, qualifications, experience, and work 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 careers@wandb.com.

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