Documentation Manager

Remote

Confirmed live in the last 24 hours

Locations

San Francisco, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Jupyter

Python

Requirements

3+ years writing technical documentation for an audience of software developers, data scientists, or machine learning practitioners
3+ leading teams of technical writers as a manager
You will especially flourish in this role if you:
Function well in a fast-moving company, and enjoy shipping improvements quickly and seeing the results of those changes
Feel confident in Python, and aren't afraid to get your hands' dirty playing with Jupyter Notebooks to test product features
Understand the basics of machine learning, and are excited to dive in and learn the deeper workflow of practitioners
Think through technical tradeoffs of docs automation and hosting tools, and empathize with team members who are maintaining the docs site, including testing and deployment

Responsibilities

Prioritize and execute on docs projects. Roll out new product docs, tutorials and guides, example scripts, generated reference docs, and rework existing content to keep it fresh, relevant, and engaging
Regularly aggregate feedback. Capture perspectives from external users and internal team members. Collaborate with Support, Customer Success, Growth, and internal ML Practitioners
Use the product. Test the user workflows you are documenting, and build a deeper understanding of how our tools fit into the machine learning lifecycle. Run example scripts, and collaborate on new scripts to be included in guides
Advocate for clarity and concision. Define and maintain a style guide to make the docs consistent, direct, and simple
Build an effective team. Recruit and retain great technical writers, and foster a culture of consistent feedback and fast iteration. Set up effective systems for the docs team to collaborate early and often on new product projects
Advocate for documentation. Work cross-functionally to set up processes so that documentation is a core part of the product development lifecycle. Highlight the business value of docs with key metrics

At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $200 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

Reporting to the Director of Product Management, the Manager, Documentation will be working on the best-in-class products in one of the fastest-growing and largest market segments. This role gives you access to the leading ML teams across multiple industries, and the opportunity to guide them in standardizing best practices. You will both write guides and reference documentation, and manage a team to maintain excellent documentation quality for new and existing products.

The Manager, Documentation will partner closely with Engineering, Growth, and Go-To-Market to understand our products, our users’ workflows, and how we can make our tools more accessible through guides, tutorials, and reference documentation.

What you’ll achieve

Prioritize and execute on docs projects. Roll out new product docs, tutorials and guides, example scripts, generated reference docs, and rework existing content to keep it fresh, relevant, and engaging.
Regularly aggregate feedback. Capture perspectives from external users and internal team members. Collaborate with Support, Customer Success, Growth, and internal ML Practitioners.
Use the product. Test the user workflows you are documenting, and build a deeper understanding of how our tools fit into the machine learning lifecycle. Run example scripts, and collaborate on new scripts to be included in guides.
Advocate for clarity and concision. Define and maintain a style guide to make the docs consistent, direct, and simple.
Build an effective team. Recruit and retain great technical writers, and foster a culture of consistent feedback and fast iteration. Set up effective systems for the docs team to collaborate early and often on new product projects.
Advocate for documentation. Work cross-functionally to set up processes so that documentation is a core part of the product development lifecycle. Highlight the business value of docs with key metrics.

What we’re looking for

3+ years writing technical documentation for an audience of software developers, data scientists, or machine learning practitioners
3+ leading teams of technical writers as a manager
You will especially flourish in this role if you:
Function well in a fast-moving company, and enjoy shipping improvements quickly and seeing the results of those changes
Feel confident in Python, and aren’t afraid to get your hands’ dirty playing with Jupyter Notebooks to test product features
Understand the basics of machine learning, and are excited to dive in and learn the deeper workflow of practitioners
Think through technical tradeoffs of docs automation and hosting tools, and empathize with team members who are maintaining the docs site, including testing and deployment

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

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]

201-500 employees

Website

Developer MLOps & visualization platform

Company Overview

Weight & Biases’ mission is to build the best tool for machine learning with their advanced platform that allows models to be built faster with experiment tracking, dataset versioning, and model management. The company is committed to helping machine learning developers in a variety of use cases with their tools that easily integrate and give metrics and visualizations.

Benefits

🏝️ Unlimited vacation time
🩺 100% Medical, Dental, and Vision for employees and Family Coverage
🏠 Remote first culture with in-office flexibility in San Francisco
💵 $1000 home office budget with new high-powered laptop
🥇 Truly competitive salary and equity
🚼 12 weeks of Parental leave
📈 401(k)

Company Core Values

Driven
Kind
Proactive