Kestra Technologies - Technical Enablement Engineer
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Requirements
• Strong technical background with hands-on experience in infrastructure, data engineering, or platform tooling (Docker, Kubernetes, CI/CD, workflow orchestration, or similar). • Proven ability to deliver live technical training or presentations to professional audiences. You're comfortable leading a room (virtual or in-person) and handling questions on the fly. • Excellent communication skills in English, both written and spoken. You can explain technical concepts clearly to audiences with varying levels of expertise. • Experience building training content: course outlines, hands-on exercises, reference documentation. You know the difference between a good training session and a slide deck being read aloud. • Customer empathy and patience. You understand that not every team starts at the same level, and you adjust your approach accordingly. • Self-directed and organized. You'll manage your own training calendar, content pipeline, and customer relationships without heavy oversight. • Past experience as a solutions engineer, technical trainer, or developer advocate in a B2B software company. • Familiarity with orchestration or workflow automation tools (Airflow, n8n, Terraform, Ansible, or similar). • Experience in an open-source company where customer education is part of the adoption lifecycle. • Background as a software or infrastructure engineer before moving into customer-facing roles. • Experience creating video-based training content or managing an LMS. • Real ownership in a globally distributed, technical team. • Direct exposure to product strategy and company priorities. • A product used for mission-critical workloads — not demos. • Competitive compensation, equity, and health insurance.
Responsibilities
• Deliver live online training sessions to enterprise customers, walking their engineering teams through Kestra's Enterprise Edition features, workflow design patterns, and operational best practices. • Develop and maintain training curricula, including structured courses, hands-on labs, and reference materials tailored to different audiences (data engineers, platform teams, IT operations). • Adapt training content based on customer use cases, industry context, and team maturity. • Build and maintain demo environments, sample workflows, and exercises that customers can use during and after training sessions. • Collaborate with Product and Engineering to stay current on new features and translate them into updated training materials. • Gather feedback from training sessions to identify knowledge gaps, common friction points, and product usability issues, then share those insights with the product team. • Contribute to self-serve enablement resources (documentation, video tutorials, getting-started guides) that complement live training.
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