AI that actually understands healthcare is transforming operations, one workflow at a time.
The Role
Lead customer training and enablement for an agentic AI healthcare platform. Develop role-based learning paths, technical courses, hands-on labs, certifications, documentation, and demonstrations. Deliver workshops, onboarding, office hours, and train-the-trainer sessions for technical and business audiences. Manage customer readiness, learning content, sandboxes, and enablement metrics while translating healthcare workflows into practical use cases and incorporating feedback to improve adoption and platform self-sufficiency.
Summary Generated by Built In
About Autonomize AI
Position Overview
Key Responsibilities
Developer Advocacy & Community Engagement
Developer Experience & Technical Content
Customer Training & Enablement
Cross-Functional Collaboration & Program Ownership
Required Qualifications
Preferred Qualifications
What Success Looks Like
Personal Attributes
What We Offer
Location
How to Apply
Autonomize AI is transforming healthcare through an enterprise-grade agentic AI platform that helps organizations automate complex workflows, unlock insights from healthcare data, and drive meaningful operational outcomes.
We are building technology that enables healthcare organizations to move beyond traditional AI assistance toward intelligent, autonomous workflows, with an emphasis on reliability, security, and responsible AI.
We are seeking a hands-on, technically accomplished Developer Evangelist to help developers discover, understand, build with, and champion the Autonomize AI platform.
This role combines developer advocacy, community building, technical content creation, customer enablement, and hands-on contributions to our platform's developer experience.
You will represent Autonomize AI at developer events, organize hackathons and workshops, build compelling demonstrations, and create the technical resources developers need to succeed. You will also work closely with product, engineering, and customer-facing teams to translate developer feedback into improvements that accelerate platform adoption.
The ideal candidate is equally comfortable writing code, presenting to a technical audience, facilitating a workshop, and helping enterprise customers apply agentic AI to real-world healthcare challenges.
- Represent Autonomize AI at developer conferences, meetups, webinars, hackathons, and technical community events.
- Organize and lead hackathons, coding challenges, build days, and hands-on workshops focused on agentic AI applications.
- Deliver engaging technical presentations, live coding demonstrations, and platform walkthroughs.
- Build relationships with developers, technical influencers, community organizers, and ecosystem partners.
- Create and share technical blogs, videos, demonstrations, and open-source examples to expand developer awareness and engagement.
- Gather developer feedback and work with internal teams to improve the platform's usability and adoption.
- Develop tutorials, quickstarts, technical documentation, sample applications, and reusable code examples.
- Build working demonstrations that showcase the platform's agentic AI capabilities and healthcare applications.
- Collaborate with product, engineering, and solutions teams on developer onboarding, APIs, SDKs, integrations, and reference implementations.
- Test developer workflows and identify opportunities to simplify the developer experience.
- Support new platform releases with technical demonstrations, documentation, and developer-ready learning resources.
- Maintain accurate, accessible, and practical technical content aligned with platform enhancements.
- Design and execute scalable customer enablement programs for developers, architects, technical champions, and business stakeholders.
- Develop structured learning journeys, including Builder 101, Champion 201, and Architect 301, with practical labs and certification pathways.
- Conduct customer onboarding sessions, technical workshops, virtual training, and office hours.
- Explain agentic AI concepts through hands-on exercises, live demonstrations, and healthcare-specific scenarios.
- Build training materials, assessments, certification programs, and reusable learning resources.
- Partner with customer-facing teams to help customers become confident, self-sufficient users of the Autonomize AI platform.
- Establish technical champion networks within customer organizations to encourage adoption and knowledge sharing.
- Own and execute an integrated developer evangelism, community engagement, and customer enablement roadmap.
- Partner with product, engineering, solutions, customer success, and marketing teams to align initiatives with business priorities.
- Translate developer feedback and customer requirements into actionable recommendations for platform improvements.
- Contribute directly to internal initiatives that improve developer onboarding, documentation, integrations, and platform adoption.
- Communicate technical capabilities and business value to both engineering and nontechnical audiences.
- Track developer engagement, community growth, content effectiveness, training outcomes, and platform adoption.
- 5–10 years of experience in developer advocacy, developer relations, software engineering, solutions engineering, technical education, or related roles.
- Strong understanding of AI and agentic AI concepts, including LLMs, retrieval-augmented generation (RAG), tool use, agent orchestration, evaluation, and human-in-the-loop workflows.
- Hands-on software development experience, including building applications, integrating APIs, troubleshooting technical issues, and developing working demonstrations.
- Proven ability to create high-quality technical content, including tutorials, quickstarts, sample code, technical articles, or instructional videos.
- Experience presenting technical topics, conducting live demonstrations, facilitating workshops, or engaging developer communities.
- Excellent written and verbal communication skills, with the ability to engage developers, architects, business stakeholders, and senior leadership.
- Working knowledge of healthcare workflows, terminology, and healthcare data privacy and security considerations.
- Strong organizational skills and demonstrated ability to independently manage multiple initiatives.
- Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience.
- Experience organizing developer hackathons, speaking at technical conferences, or building developer communities.
- Proficiency in Python and familiarity with cloud platforms, enterprise integrations, version control, and modern development tools.
- Experience with enterprise AI, SaaS platforms, developer platforms, or developer experience initiatives.
- Contributions to open-source projects or publicly available technical documentation and code examples.
- Experience developing technical certification programs, managing learning management systems, or building hands-on training environments.
- Familiarity with healthcare payer or provider workflows and healthcare interoperability concepts.
- A portfolio of technical presentations, tutorials, sample applications, recorded talks, or developer community initiatives.
- A growing, engaged developer community actively exploring and building on the Autonomize AI platform.
- Successful hackathons, workshops, and developer events that translate awareness into meaningful hands-on adoption.
- High-quality technical documentation, tutorials, and sample applications that accelerate developer onboarding.
- Improved developer experience through actionable feedback and direct contributions to platform initiatives.
- Customer teams successfully completing structured learning pathways and becoming increasingly self-sufficient.
- Strong collaboration across product, engineering, solutions, and customer-facing teams to support platform growth.
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.
- 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 healthcare enterprises in the U.S.
- High ownership in one of the most consequential chapters of healthcare AI.
In person in Austin, TX.
Send your resume and a brief note to [email protected] telling us about a customer insight that changed what you built.
Skills Required
- 5-10 years of relevant experience in 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 building demonstrations, working with APIs, explaining code, and troubleshooting technical exercises
- Experience designing and delivering developer training, workshops, or technical enablement programs
- Excellent written, verbal, presentation, and facilitation skills for technical and business audiences
- Working knowledge of healthcare workflows, terminology, and healthcare data privacy and security considerations
- Strong program management skills and ability to manage multiple customer accounts, priorities, and delivery timelines independently
- Bachelor's degree in computer science, engineering, a related field, or equivalent practical experience
- 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
- Portfolio of technical tutorials, recorded presentations, workshops, sample applications, or other developer education content
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The Company
What We Do
Autonomize AI Agents & Copilots organize, contextualize and summarize unstructured data to reduce the administrative burden for healthcare knowledge workers to make data-driven decisions and improve patient outcomes. Our customers include health plans, providers and life sciences companies. Unlike generic AI systems retrofitted for healthcare, Autonomize deeply understands medical contexts, terminologies, and operational nuances. Our healthcare-focused AI Agents & Copilots augment knowledge work, drastically reducing administrative burden. Care management teams spend 78% less time per case, achieving an impressive 85% boost in case review efficiency. Prior authorization processes that traditionally take 20-30 minutes shrink to mere seconds, accompanied by an 80% reduction in manual errors, saving millions of dollars annually. Our AI Agents turn chaotic, unstructured healthcare data—clinical notes, PDFs, faxes, and claims—into structured, contextual information that informs decisions and actions. This has driven substantial real-world impact: organizations using Autonomize experience a 92% reduction in manual effort for care gaps and HEDIS chart reviews, dramatically improving compliance and STAR ratings. Autonomize AI is purpose-built for healthcare, transforming healthcare operations one workflow at a time through AI-native solutions that deliver immediate, scalable impact.
