Senior Manager, Training
Job Details
- Experience
- 10+ years in technical training, customer education, or enablement leadership at a SaaS/infrastructure company, including 5+ years leading programs or teams
Requirements
- Have 10+ years of experience in technical training, customer education, or enablement leadership at a SaaS or infrastructure company.
- Have 5+ years leading programs or teams and a record of building a function from the ground up.
- Be comfortable as a hands-on builder and sole practitioner, with the ability to hire and lead a team as the function grows.
- Demonstrate experience influencing senior stakeholders and technical contributors and driving alignment without formal authority.
- Bring hands-on experience with an enterprise LMS; Skilljar is preferred.
- Have experience designing learner journeys and building customer implementation, onboarding, or education programs.
- Have experience with instructional design, hands-on labs, and certification or badging.
- Understand AI/ML and agentic AI concepts and be able to build training for AI workloads in enterprise environments.
- Show a record of measuring training impact using implementation completion, adoption, and business metrics to demonstrate ROI to executives.
- Preferred: apply AI and LLM tools to content production, learner support, or learning operations with human review and quality controls.
- Preferred: build agent-based or MCP-integrated learning and documentation experiences, including AI lab coaching or automated assessment.
- Preferred: manage vendors and platform engagements, including professional services partners and internal engineering dependencies.
Responsibilities
- Own customer implementation training journeys for admins, IT, security, DevOps, and non-developer teams adopting Docker products.
- Own the learning technology stack built on Skilljar and Instruqt, including the catalog, learning paths, and authoring workflows.
- Build initial implementation paths, hands-on labs, and assessments, and configure and administer Skilljar and Instruqt.
- Design AI-assisted content workflows that draft courses, lab guides, and assessments and flag stale content, with SME review for technical accuracy.
- Establish curriculum standards, including implementation path templates, lab patterns, assessment and badging criteria, and content review cycles.
- Partner with Professional Services subject-matter experts to build content and support their Instruqt authoring.
- Use AI agents, vendors, contractors, and SMEs to scale training output ahead of headcount.
- Define the training team model, hiring sequence, and business case for initial hires.
- Ensure learner data practices meet privacy, security, and vendor review standards, including PII minimization and DPA requirements.
- Measure training impact against implementation, adoption, retention, expansion, and revenue metrics.