Developer Evangelist Jobs in USA with Visa Sponsorship
Developer Evangelist roles regularly qualify for H-1B visa and O-1 visa sponsorship when tied to a computer science or engineering degree. Employers in tech sponsor at high rates, and the role's public-facing nature strengthens O-1 petitions built around speaking, publications, and community impact. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Autonomize AI
Autonomize AI is the healthcare industry's purpose-built AI platform for automating the complex administrative processes that consume clinicians, payers, and care teams: prior authorization, utilization management, care management, and claims processing. Backed by Valtruis, Cigna Group Ventures, Asset Management Ventures and top-tier VCs, we serve 3 of the top 5 U.S. health enterprises and are scaling aggressively.
We are not building another AI point solution. We are building the operating system for healthcare administration, a platform of AI agents, clinical workflows, and data fabric that replaces manual processes end to end. Context AI is the intelligence layer of that platform: one governed understanding of healthcare reference data and each customer's own policies, with the source behind every answer, that any agent or model can call.
Role Overview
Autonomize AI is seeking a Developer Evangelist to lead training and enablement for our platform across customer accounts. This is a hands-on, customer-facing role for someone who combines technical depth in agentic AI with strong communication, teaching, and program management skills.
You will help customer developers, architects, technical champions, and business stakeholders understand our platform, build practical skills, and apply those skills to healthcare use cases. You will own the enablement experience—from developing courses and hands-on labs to delivering live classroom sessions, managing certification programs, and supporting customers as they become confident, self-sufficient platform users.
We are looking for an engaging educator and credible technical practitioner who can explain complex ideas clearly, connect technology to business outcomes, and independently drive an enablement program from planning through execution.
Key Responsibilities
Own Customer Training & Enablement
- Build and manage a repeatable platform training and enablement program across customer accounts.
- Develop role-based learning journeys for developers, architects, technical champions, and business users.
- Own the delivery and ongoing improvement of the Builder 101, Champion 201, and Architect 301 training and certification paths.
- Coordinate training schedules, customer readiness, communications, and follow-through with internal teams and customer stakeholders.
Deliver Engaging Technical Training
- Lead instructor-led classroom sessions, virtual workshops, technical onboarding, office hours, and train-the-trainer sessions.
- Teach agentic AI concepts and demonstrate how to apply them using the Autonomize AI platform.
- Guide developers through hands-on exercises, troubleshooting, and capstone projects.
- Adapt the depth, pace, and language of each session to the audience’s technical knowledge and business needs.
Create Technical Learning Experiences
- Develop and maintain presentations, documentation, tutorials, videos, sample applications, and implementation guides.
- Build practical labs and healthcare-oriented use cases in partnership with product, engineering, and solution teams.
- Coordinate access to training sandboxes and ensure that exercises work reliably before customer sessions.
- Manage learning content, assessments, badges, and certifications through the learning management system.
Connect Technology to Customer Outcomes
- Explain platform capabilities and agentic AI concepts to both technical and business audiences.
- Translate customer workflows and business objectives into relevant demonstrations and learning scenarios.
- Help customer teams understand responsible AI practices, human oversight, and healthcare data considerations.
- Identify adoption barriers and turn customer feedback into improvements to training, documentation, and the platform experience.
Drive the Program End to End
- Serve as the primary owner of customer enablement delivery, coordinating contributors and resolving execution gaps.
- Establish measures for training effectiveness, learner readiness, certification completion, and platform adoption.
- Keep training materials current as platform capabilities evolve.
- Build a community of customer champions who can share knowledge and support adoption within their organizations.
Required Qualifications
- 5–10 years of relevant experience spanning developer advocacy, technical training, developer relations, solutions engineering, customer engineering, or a similar customer-facing technical role.
- Strong understanding of AI and agentic AI concepts, including LLMs, tool use, retrieval-augmented generation, agent orchestration, evaluation, and human-in-the-loop workflows.
- Hands-on software development experience, with the ability to build demonstrations, work with APIs, explain code, and troubleshoot technical exercises.
- Demonstrated ability to design and deliver developer training, workshops, or technical enablement programs.
- Excellent written, verbal, presentation, and facilitation skills, including the ability to communicate with developers, architects, business users, and senior stakeholders.
- Working knowledge of healthcare workflows, terminology, and the privacy and security considerations associated with healthcare data.
- Strong program management skills and the ability to manage multiple customer accounts, priorities, and delivery timelines independently.
- A bachelor’s degree in computer science, engineering, a related field, or equivalent practical experience.
Preferred Qualifications
- Experience enabling customers on an enterprise AI, SaaS, or developer platform.
- Proficiency in Python and familiarity with cloud platforms, enterprise integrations, and modern development tools.
- Experience creating certification programs, managing an LMS, or operating hands-on lab environments.
- Familiarity with healthcare payer or provider workflows and healthcare interoperability concepts.
- Experience building developer communities, technical champion networks, or train-the-trainer programs.
- A portfolio of technical tutorials, recorded presentations, workshops, sample applications, or other developer education content.
What Success Looks Like
- Customers can progress through clear, practical learning paths and demonstrate the skills needed to use the platform.
- Training sessions consistently earn strong feedback for clarity, relevance, and hands-on value.
- Course content, labs, and certifications stay aligned with platform releases and customer needs.
- Customer teams become more self-sufficient, with fewer recurring knowledge gaps.
- Technical champions can help scale platform adoption within their organizations.
Personal Attributes
You are approachable, patient, and professional. You enjoy teaching, listen carefully, and make people comfortable asking questions. You can move confidently between a technical deep dive and a business discussion, bring structure to ambiguous situations, and take ownership of delivering a polished customer experience.
What we Offer
- Competitive compensation and meaningful equity
- 100% employer-paid medical, dental, and vision insurance, plus 401(k), disability insurance, and employee assistance programs
- Direct work with experienced founders, engineering leaders and the largest health enterprises in the U.S.
- High ownership in one of the most consequential chapters of healthcare AI
Location
In person in Austin, TX.
How To Apply
Send your resume and a brief note to careers@autonomize.ai telling us about a customer insight that changed what you built.
About Autonomize AI
Autonomize AI is the healthcare industry's purpose-built AI platform for automating the complex administrative processes that consume clinicians, payers, and care teams: prior authorization, utilization management, care management, and claims processing. Backed by Valtruis, Cigna Group Ventures, Asset Management Ventures and top-tier VCs, we serve 3 of the top 5 U.S. health enterprises and are scaling aggressively.
We are not building another AI point solution. We are building the operating system for healthcare administration, a platform of AI agents, clinical workflows, and data fabric that replaces manual processes end to end. Context AI is the intelligence layer of that platform: one governed understanding of healthcare reference data and each customer's own policies, with the source behind every answer, that any agent or model can call.
Role Overview
Autonomize AI is seeking a Developer Evangelist to lead training and enablement for our platform across customer accounts. This is a hands-on, customer-facing role for someone who combines technical depth in agentic AI with strong communication, teaching, and program management skills.
You will help customer developers, architects, technical champions, and business stakeholders understand our platform, build practical skills, and apply those skills to healthcare use cases. You will own the enablement experience—from developing courses and hands-on labs to delivering live classroom sessions, managing certification programs, and supporting customers as they become confident, self-sufficient platform users.
We are looking for an engaging educator and credible technical practitioner who can explain complex ideas clearly, connect technology to business outcomes, and independently drive an enablement program from planning through execution.
Key Responsibilities
Own Customer Training & Enablement
- Build and manage a repeatable platform training and enablement program across customer accounts.
- Develop role-based learning journeys for developers, architects, technical champions, and business users.
- Own the delivery and ongoing improvement of the Builder 101, Champion 201, and Architect 301 training and certification paths.
- Coordinate training schedules, customer readiness, communications, and follow-through with internal teams and customer stakeholders.
Deliver Engaging Technical Training
- Lead instructor-led classroom sessions, virtual workshops, technical onboarding, office hours, and train-the-trainer sessions.
- Teach agentic AI concepts and demonstrate how to apply them using the Autonomize AI platform.
- Guide developers through hands-on exercises, troubleshooting, and capstone projects.
- Adapt the depth, pace, and language of each session to the audience’s technical knowledge and business needs.
Create Technical Learning Experiences
- Develop and maintain presentations, documentation, tutorials, videos, sample applications, and implementation guides.
- Build practical labs and healthcare-oriented use cases in partnership with product, engineering, and solution teams.
- Coordinate access to training sandboxes and ensure that exercises work reliably before customer sessions.
- Manage learning content, assessments, badges, and certifications through the learning management system.
Connect Technology to Customer Outcomes
- Explain platform capabilities and agentic AI concepts to both technical and business audiences.
- Translate customer workflows and business objectives into relevant demonstrations and learning scenarios.
- Help customer teams understand responsible AI practices, human oversight, and healthcare data considerations.
- Identify adoption barriers and turn customer feedback into improvements to training, documentation, and the platform experience.
Drive the Program End to End
- Serve as the primary owner of customer enablement delivery, coordinating contributors and resolving execution gaps.
- Establish measures for training effectiveness, learner readiness, certification completion, and platform adoption.
- Keep training materials current as platform capabilities evolve.
- Build a community of customer champions who can share knowledge and support adoption within their organizations.
Required Qualifications
- 5–10 years of relevant experience spanning developer advocacy, technical training, developer relations, solutions engineering, customer engineering, or a similar customer-facing technical role.
- Strong understanding of AI and agentic AI concepts, including LLMs, tool use, retrieval-augmented generation, agent orchestration, evaluation, and human-in-the-loop workflows.
- Hands-on software development experience, with the ability to build demonstrations, work with APIs, explain code, and troubleshoot technical exercises.
- Demonstrated ability to design and deliver developer training, workshops, or technical enablement programs.
- Excellent written, verbal, presentation, and facilitation skills, including the ability to communicate with developers, architects, business users, and senior stakeholders.
- Working knowledge of healthcare workflows, terminology, and the privacy and security considerations associated with healthcare data.
- Strong program management skills and the ability to manage multiple customer accounts, priorities, and delivery timelines independently.
- A bachelor’s degree in computer science, engineering, a related field, or equivalent practical experience.
Preferred Qualifications
- Experience enabling customers on an enterprise AI, SaaS, or developer platform.
- Proficiency in Python and familiarity with cloud platforms, enterprise integrations, and modern development tools.
- Experience creating certification programs, managing an LMS, or operating hands-on lab environments.
- Familiarity with healthcare payer or provider workflows and healthcare interoperability concepts.
- Experience building developer communities, technical champion networks, or train-the-trainer programs.
- A portfolio of technical tutorials, recorded presentations, workshops, sample applications, or other developer education content.
What Success Looks Like
- Customers can progress through clear, practical learning paths and demonstrate the skills needed to use the platform.
- Training sessions consistently earn strong feedback for clarity, relevance, and hands-on value.
- Course content, labs, and certifications stay aligned with platform releases and customer needs.
- Customer teams become more self-sufficient, with fewer recurring knowledge gaps.
- Technical champions can help scale platform adoption within their organizations.
Personal Attributes
You are approachable, patient, and professional. You enjoy teaching, listen carefully, and make people comfortable asking questions. You can move confidently between a technical deep dive and a business discussion, bring structure to ambiguous situations, and take ownership of delivering a polished customer experience.
What we Offer
- Competitive compensation and meaningful equity
- 100% employer-paid medical, dental, and vision insurance, plus 401(k), disability insurance, and employee assistance programs
- Direct work with experienced founders, engineering leaders and the largest health enterprises in the U.S.
- High ownership in one of the most consequential chapters of healthcare AI
Location
In person in Austin, TX.
How To Apply
Send your resume and a brief note to careers@autonomize.ai telling us about a customer insight that changed what you built.
See all 3,857+ Developer Evangelist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Developer Evangelist roles.
Get Access To All JobsTips for Finding Developer Evangelist Jobs
Frame the role as a specialty occupation
Developer Evangelist positions require a degree in computer science, software engineering, or a related technical field to qualify for H-1B sponsorship. Highlight the technical depth of the role in offer letters and job descriptions to support the specialty occupation argument.
Build an O-1A evidence portfolio early
Conference keynotes, published technical content, open-source contributions, and judging or reviewing developer programs all count as O-1A criteria. Start documenting these before you need the visa. A strong portfolio can make O-1A more viable than H-1B lottery odds.
Target tech companies with established sponsorship pipelines
Large technology companies like Google, Meta, and Stripe sponsor Developer Evangelists regularly and have immigration counsel on retainer. Their internal processes move faster than companies filing for the first time. Prioritize employers with a visible track record.
Clarify the degree field match upfront
H-1B requires the degree field to match the job. A Developer Evangelist role grounded in technical product work typically maps to computer science or engineering. Avoid ambiguity by ensuring the job description reflects technical responsibilities, not just communication duties.
Use speaking and media credits to differentiate your O-1 case
Developer Evangelists who have presented at major conferences, been quoted in technical publications, or built large developer communities have documented, verifiable contributions. These translate directly into O-1 visa criteria and can significantly strengthen a petition that stands apart from standard H-1B cases.
Negotiate sponsorship before signing, not after
Many employers will sponsor a Developer Evangelist but have not budgeted for it in advance. Raise the conversation during the offer stage, not after you start. Confirm whether they will cover legal fees and whether they have immigration counsel already engaged.
Frequently Asked Questions
Does a Developer Evangelist role qualify for H-1B sponsorship?
Yes, when the position requires a bachelor's degree or higher in a specific technical field such as computer science or software engineering. The challenge is that some employers list the role with broad or communication-focused requirements, which can weaken the specialty occupation argument. The job description needs to reflect substantive technical responsibilities to hold up under USCIS scrutiny.
What visa options exist for Developer Evangelists beyond the H-1B?
The O-1A is the most compelling alternative for experienced evangelists. It requires evidence of extraordinary ability, and Developer Evangelists often have strong supporting material: conference speaking history, published technical content, open-source contributions, and community influence. The O-1A has no lottery, no annual cap, and no degree field requirement, making it a practical path for candidates who don't win H-1B visa selection.
How do I find Developer Evangelist jobs that offer visa sponsorship?
Migrate Mate is built specifically for international candidates and filters roles by sponsorship willingness, so you're not sifting through listings that won't work for your situation. Developer Evangelist roles that appear on Migrate Mate are sourced from employers with a demonstrated history of sponsoring international workers, which saves significant time in the job search.
Will my degree field affect H-1B approval for this role?
Yes, directly. USCIS looks at whether the specific degree field aligns with the job duties. A computer science or software engineering degree maps cleanly to a technically scoped Developer Evangelist role. A degree in communications or marketing may not, even if the day-to-day work involves heavy technical content. If your degree is in a borderline field, the job description needs to compensate by emphasizing technical depth clearly.
Do Developer Evangelist roles at startups sponsor visas as often as large tech companies?
Less reliably. Early-stage startups frequently lack immigration counsel and haven't budgeted for sponsorship legal fees. Series B and later-stage companies are more likely to have processes in place. That said, some well-funded startups actively recruit international talent and will sponsor. The practical signal is whether the company has sponsored before, which USCIS filing records can confirm.
What is the prevailing wage requirement for sponsored Developer Evangelist jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.