Senior Manager, Training

Docker, Inc

. Own the training journey for customer implementation training for admins, IT, security, DevOps, and non-developer teams adopting Docker Sandboxes and AI governance products .

Posted 11/11/2026full-timeRemote • Canada, United StatesSenior💰 CA$179,149 - CA$255,927 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing customer training programs, leveraging AI technologies and instructional design principles to enhance learner engagement and success metrics. Proven ability to lead teams, manage vendor relationships, and establish curriculum standards in a SaaS environment.

Highest-signal resume keywords

Technical Training LeadershipInstructional DesignAI/ML ExperienceSkilljar AdministrationCustomer Implementation Programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical TrainingInstructional DesignLearner Journey DesignAI GovernanceContent ProductionAssessment DevelopmentBadging FrameworksData AnalysisImplementation MetricsEnterprise LMS

Soft Skills

Influencing StakeholdersTeam LeadershipHands-On BuildingCollaborationCommunication

Tools & Technologies

SkilljarInstruqtAI AgentsLearning Management SystemsAnalytics Tools

Industry Keywords

SaaSCustomer EducationDevOpsAI WorkloadsContainerizationSoftware Supply Chain SecurityCustomer SuccessOnboardingRetention MetricsSingle Sign-On

Tech Stack

Tools & technologies

Docker

About the role

Key responsibilities & impact

Own the training journey for customer implementation training for admins, IT, security, DevOps, and non-developer teams adopting Docker Sandboxes and AI governance products
Own the Skilljar and Instruqt learning technology stack, including catalog, learning-path structure, and authoring workflows
Author the first implementation paths, labs, and assessments
Configure and administer Skilljar and Instruqt
Design an AI-native training practice using agents to draft courses, lab guides, and assessments and flag stale content, with SME technical review before publication
Establish curriculum standards, implementation path templates, lab patterns, assessment and badging criteria, content refresh cycles, and web-based customer journeys
Partner with Professional Services subject-matter experts to build content and support Instruqt authoring
Use AI agents, vendors, contractors, and SMEs to scale output ahead of headcount
Define team roles, sequencing, and the business case for initial hires
Ensure learner data practices meet Docker privacy, security, vendor review, PII minimization, and DPA standards
Define the customer implementation training strategy, charter, operating model, audiences, intake, prioritization, and success metrics
Launch analytics for implementation milestone completion, badging, and adoption reporting
Ship priority implementation paths with hands-on labs and establish a badging framework
Pilot an AI-assisted content workflow and define AI governance for learner data and generated content
Build a data-backed Training practice and improve implementation completion, provisioning, time-to-value, adoption, retention, expansion, and revenue contribution

Requirements

What you’ll need

10+ years in technical training, customer education, or enablement leadership at a SaaS/infrastructure company
5+ years leading programs or teams
Record of building a function from the ground up
Comfortable as a hands-on builder and sole practitioner, with ability to hire and lead a team as the function grows
Ability to influence senior stakeholders and technical contributors and drive alignment without formal authority
Hands-on experience with an enterprise LMS; Skilljar preferred
Experience with learner journey design
Experience building and running customer implementation, onboarding, or education programs
Experience with instructional design, hands-on labs, and certification or badging
Experience with AI/ML and agentic AI concepts
Ability to build training for AI workloads in enterprise environments
Proven record of measuring training impact using implementation completion, adoption, retention, expansion, and revenue contribution metrics
Preferred: experience applying AI and LLM tools to content production, learner support, or learning operations, with human review and quality controls
Preferred: experience building agent-based or MCP-integrated learning and documentation experiences, including AI lab coaching and automated assessment
Preferred: experience managing vendors and platform engagements
Bonus: technical credibility in containerization, container and software supply chain security, and enterprise IT and identity environments
Bonus: experience linking customer education to implementation completion, retention, and time-to-value metrics in a customer success or CRM platform
Bonus: experience unifying documentation and learning platforms into a single SSO-authenticated learner experience
Must be legally authorized to work in the country where applying
Visa sponsorship is not available for this role

Benefits

Comp & perks

Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
Flexibility that fits your life – Manage your schedule while delivering great work.
Generous PTO
Designated quarterly Whaleness Days
Designated end-of-year Whaleness break
Home office support
Technology stipend equivalent to US$100 net per month
Annual stipend for conferences, courses, certifications, and continued learning
16 weeks of paid parental leave after six months of employment
Equity for all full-time employees
Medical, retirement, and paid holidays vary by country
Docker swag