Technical Writer Lead jobs at Lockheed Martin - 580 jobs

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. What We Look For 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 have 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. Zone 1 Pay Range $114,100 - $159,700 USD 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 ***************************************** 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. 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