RDQ426R13
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!
The Impact You Will Have- 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.
- 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.
- 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
