Evangelist III, Tech - AMZ9443305
Amazon - San Francisco, California, USA
Posted May 7, 2026
Benefits
- Parental leave
- Not verified not verified - source not recorded; timestamp not recorded
- Non-birth-parent leave
- Not verified not verified - source not recorded; timestamp not recorded
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Not verified
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Market context
- Median wage (BLS OEWS)
- $55,206 national median
- Projected growth (BLS Employment Projections)
- +5.5% - Faster than average
328% above the BLS national median for trades aggregate.
Matched to SOC 49-9071 - Trades aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Evangelist III, Tech - AMZ9443305 San Francisco, California, USA 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.
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