Sr. Technical Writer

Databricks•San Francisco, CA

7d•Onsite

About The Position

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. In this role, you will create customer-focused technical documentation for our AI and machine learning platform at docs.databricks.com . Working on the cutting edge of new tools for AI development, you'll use your background in AI/ML, data science, or data engineering to create compelling content that shows AI developers, machine learning practitioners, and data engineers how to use Databricks. You are passionate about instructional writing, with a focus on clarity, straightforward storytelling, and an information architect's approach to organizing material. The work comes fast and furious, but you'll never let up on your attention to detail or your advocacy for the customer. If this sounds exciting, we want to hear from you!

Requirements

4+ years of documenting sophisticated technologies for developers and software engineers, or equivalent technical depth from related roles (for example, as a software developer, product manager, or solutions architect).
Ability to work in person in either our Bay Area or Seattle area offices.
Enthusiastic about the investigative side of technical writing: skilled at tracking down elusive details and transforming them into clear, useful information for the customer.
Expertise in technical writing craft: maintaining a consistent voice, clear and engaging tone, and a solid grasp of grammar and usage.
Experience with ML and generative AI concepts: model training, inference, MLOps workflows, prompt engineering, RAG architectures, or AI agents.
Experience with data products and cloud computing.
Strong information architecture instincts and the ability to apply them to a constantly evolving doc set.
Proficiency in Markdown-style formats with Git and GitHub.
Strong cross-functional collaboration, communication, and project management skills.

Nice To Haves

Working knowledge of Python for data science.
Familiarity with Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace, or MLflow.
Background in journalism, technical communication, or content strategy, with skills in research and interviewing SMEs.
Experience creating instructional videos and visual media.

Responsibilities

Collaborate with engineers and product managers to develop effective, customer-focused documentation.
Collaborate with customer-facing technical staff (support engineers, solutions architects, developer relations) on best practices, onboarding material, and other scenario-based guidance.
Guide the development of an information architecture that organizes content around customer use cases.
Help us continually improve our authoring and production tools and processes by using AI models and tools, such as Claude Code.
Edit content contributed by engineering and the field for technical accuracy, grammar, usage, adherence to style, and fit in the information architecture.
Create clear diagrams and visual aids that help customers understand complex architectures and workflows.
Utilize data to derive insights that inform planning, prioritization, and informed improvements.
Stay current with rapidly evolving AI/ML technologies and translate new capabilities into clear documentation, often working closely with engineering on features still in development.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

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