Senior Manager, Training

Docker

Remote regions

Global

Salary range

$131,495–$187,850/yr

Benefits

16w maternity 16w paternity

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Responsibilities:

  • Own the training journey for customer implementation training, focused on admins, IT, security, DevOps teams and non-developer teams adopting Docker Sandboxes and AI governance products.
  • Own the learning technology stack built on Skilljar and Instruqt, including catalog and learning-path structure and authoring workflows.
  • Build hands-on: author the first implementation paths, labs, and assessments, and configure and administer Skilljar and Instruqt.

What to Expect:

  • First 30 days: Onboard to Docker’s mission and product portfolio, build partnerships with Professional Services leaders, and shadow customer implementation engagements.
  • First 90 days: Define the training strategy and charter, launch baseline analytics, ship the first priority implementation paths, and pilot an AI-assisted content workflow.
  • One-year outlook: A proven, data-backed Training practice with AI agents handling content drafting and refresh detection, and measurable improvement in implementation completion and time-to-value.

Qualifications:

  • Required: 10+ years in technical training or customer education leadership, hands-on experience with enterprise LMS (Skilljar preferred), and proven record of measuring training impact with business metrics.
  • Preferred: Experience applying AI/LLM tools to content production and learning operations, and experience managing vendors and platform engagements.
  • Bonus: Strong technical credibility in containerization, container security, and enterprise IT, and experience linking customer education to retention and time-to-value metrics.

Docker

Docker is a developer tooling platform trusted by over 20 million monthly users, enabling developers to build, share, and run applications across products like Docker Desktop, Docker Hub, and Docker Scout. As a globally distributed, remote-first team, Docker is at the center of the shift toward AI-driven software development, providing sandboxed environments and secure infrastructure.

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