About the position
Can you document and explain complex information clearly and concisely? Are you excited about diving deep into AI/ML concepts and helping customers adopt generative AI technology? The Technical Content Experience (TCX) group, also known as AWS Documentation, is looking for a technical writer to support Amazon AI and ML services. These services include Amazon SageMaker, which is our flagship machine learning service, Amazon Bedrock, and Amazon Q, and this role offers the opportunity to work on cutting edge Generative AI and Machine Learning technologies. Ideally, you have both a technical background that enables easy interaction with software developers and a demonstrated ability to deliver high-quality technical documentation. You will be part of a customer-obsessed, dynamic team of talented, geographically distributed, highly technical communicators. Join us on our journey to provide high-quality documentation and code examples to our customers!
Responsibilities
- Author and deliver high-quality conceptual and procedural content, API reference documentation, and code examples
- Develop, negotiate, and drive content strategy in alignment with product strategy and Amazon content guidelines
- Work with customer feedback, use website and content engagement data, and direct your analysis and insights into improving content performance and strategy
- Advocate for optimal customer experiences, dive deep to develop domain expertise, and function as the first customer for your products
- Work with other writers to improve how we write, hire and develop talent, and identify and drive opportunities to boost team efficiency.
Requirements
- Degree or certification in a relevant technical field or equivalent experience
- A minimum of 5 years of experience designing and producing content for a technical audience that include data scientists or business consumers of AI technologies
- Experience using content publishing tools to write, format, manage, and publish technical content on the web
- Ability to read and write basic example code in one or more programming languages, such as Python, Java, JavaScript, Ruby, C#, or Go.
Nice-to-haves
- Strong written and verbal communication skills
- Background in machine learning or artificial intelligence
- Experience working with XML, markdown, or HTML
- Familiarity with using and following a style guide
- Experience designing, planning, and delivering content that meets the needs of a technical audience
- Experience working directly with teams of software engineers and product managers
Benefits
- Flexible schedule to support work-life balance
- Mentorship and career growth opportunities
- Inclusive team culture with employee-led affinity groups
- Ongoing events and learning experiences
