Amazon Web Services, Inc.
Technology
EvangelistIII,Tech
Neural analysis suggests this role is
optimal for Senior candidates.
“Evangelist III, Tech at Amazon Web Services, Inc.. Skills: AI development tools, Developer relations, Technical content. Build video tutorials. Create technical content”
What You'll Achieve.
Achieve measurable productivity improvements
Industry & Context.
Problem-solving scenarios
Up to 25% travel
What They're Looking For.
Must Have
Bachelor's degree or foreign equivalent, Three years of experience, Five years of experience as equivalent, One year experience developing ML/AI demonstrations, One year experience in developer relations, One year experience presenting technology platforms
What You'll Do.
Build video tutorials
Create technical content
Focus on long-form content
Demonstrate building applications
Create integration patterns
Show practical workflows
Develop content for developers
Identify gaps in tooling
Influence product roadmaps
Contribute to open-source
Build guides for productivity
Research technical content
Script technical content
Produce technical content
Improve developer experience
Help developers adopt tools
How You'll Work.
Team & Collaboration
Engineering teams
Communication Scope
Technical documentation
Full Job Description
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. Offered Position: Evangelist III, Tech Job Location: San Francisco, California Job Number: AMZ9443305 Position Responsibilities: Build in-depth video tutorials, live coding demonstrations, and detailed implementation guides that help developers integrate these tools into their daily workflows. Create comprehensive technical content showcasing Amazon Q Developer and related AI development tools. Focus on long-form technical content that shows complete problem-solving scenarios like modernizing legacy applications or building full-stack architectures. Demonstrate building full applications, creating integration patterns for existing development environments, and showing practical workflows across multiple programming languages. Develop content specifically for front-end developers, backend engineers, and full-stack teams, addressing the unique challenges each group faces when adopting AI-assisted development. Through hands-on coding and community engagement, identify gaps between developer needs and current tooling capabilities. Work directly with engineering teams to influence product roadmaps based on real developer feedback, contribute to open-source projects, and build guides that help developers achieve measurable productivity improvements. Create in-depth video tutorials by researching, scripting, and producing structured technical content that teaches developers how to use AI-assisted development tools, frameworks, workflows, and other services in real-world scenarios. These tutorials range from short-form focused walkthroughs to long-form, multi-part series and workshop-style content, depending on the complexity of the topic and audience. Use a range of platforms depending on the format and distribution channel. For recording and editing, tools include, but are not limited to, OBS, Camtasia, and Adobe Creative Suite tools. Tutorials are published and distributed across multiple platforms includin
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