Senior Product Manager - Models

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 1000 customers and more than 30 foundation model builders including customers such as OpenAI NVIDIA Microsoft and Toyota.

Reporting to the Director of Product Management this Senior Product Manager will play a pivotal role in shaping and delivering the future of W&B’s flagship Models product. With a focus on user experience quality and speed they will drive the day-to-day month-to-month and year-to-year evolution of the core experiment tracking and analysis tools used by over 2500 of the world’s most advanced ML and AI teams.

What you’ll achieve

• Rapidly identify and ship improvements to W&B’s core experience.

• Meet with our most advanced customers to learn their workflows and identify breakthrough improvements.

• Look into the future of experiment tracking pretraining and fine-tuning workflows to steer W&B’s product direction

• Analyze interviews usage data and market behavior to rank product opportunities.

• Communicate what you ship back out to the market to drive adoption and discovery.

What we’re looking for:

• 2+ years of experience using Weights & Biases. You know our product and want to make it better.

• Experience taking a technical product—it could be a model you’ve worked on—all the way to production including understanding requirements for success measuring effectiveness and improving performance through iterations.

• Experience managing or influencing machine learning engineers software engineers or other stakeholders—with or without official authority.

• Clear communication and organization. A major part of the role is seeking feedback from many directions and channeling it into a single executable stream.

• Care and taste about the products you use.

Why join us?

• Top-tier machine learning teams rely on our tools for their daily work at companies including OpenAI Toyota Research Institute Lyft Samsung and Pandora.

• You'll never stop learning. This role gives you first-hand experience talking with leading researchers in the field understanding their problems and directly shaping the product direction.

• Our experienced founding team has successfully built and sold ML tools in the past at Figure Eight and their deep knowledge of our industry empathy for our users and skillful management is driving W&B to success.

• Customers genuinely benefit from our tool. Here's a quote from Wojciech Zaremba Cofounder and Robotics Lead OpenAI: 'W&B allows to scale up insights from a single researcher to the entire team and from a single machine to hundreds of them.'

Our 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

• Explore benefits by country

$156000 - $217000 a year

This position has an annual estimated salary of $156000 - 217000 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 [email protected].

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