The posting
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 [email protected] telling us about a customer insight that changed what you built.
