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As a Senior Technical Trainer / Developer Educator (Product Instructor) for Ema’s Agentic AI Builder, you will lead the design and delivery of a world-class enablement program that helps customer engineering teams learn, build, deploy, and operate AI agents independently. This is not a traditional training role. You’ll blend strong technical depth (APIs, integrations, cloud, debugging, production operations) with instructional excellence to create structured training, hands-on labs, and certification frameworks that accelerate customer adoption and reduce long-term dependency on Ema.
Job Responsibility:
Own and evolve the role-based enablement curriculum for the Agentic AI Builder (Developer, Admin/Ops, Security/Compliance)
Deliver instructor-led training (virtual/on-site), interactive workshops, and structured office hours
Create progressive learning paths covering fundamentals, builder UX, integrations, observability, release lifecycle, and production readiness
Build and maintain hands-on labs, sample agent projects, reference implementations, and quickstart guides
Define skill milestones and certification criteria
Reinforce training concepts during Guided Build by pairing with customer developers
Collaborate with SRE/DevOps to create production enablement content
Act as a field signal amplifier for the Agentic AI Builder, synthesizing feedback and proposing improvements
Requirements:
8–12+ years of experience as a software engineer, solutions engineer, product engineer, solution architect, or developer advocate
3–5+ years in technical training, enablement, or mentoring roles
Strong experience building and operating enterprise SaaS products, APIs, and integrations
Proven ability to translate complex systems into clear learning paths and hands-on labs
Comfortable teaching both builder-driven workflows (templates, config, guardrails) and engineering workflows (APIs, debugging, CI/CD, testing)
Strong understanding of cloud systems (AWS/GCP/Azure), auth (OAuth/JWT), observability, and production operations
Excellent communication and facilitation skills with enterprise engineering audiences
Nice to have:
Experience with agentic systems, orchestration frameworks, or AI automation products
Familiarity with LLM evaluation, regression testing, prompt/agent debugging methodologies
Prior experience enabling external enterprise customers at scale