Senior Manager, Training

The role

You will build and own a new training practice for customer implementation of Docker's AI governance products. You will design learning journeys, hands-on labs, and assessments, and prove the impact of training on onboarding and adoption.

What you will do

• Own the training journey for customer implementation, focused on admins, IT, security, DevOps and non-developer teams adopting Docker Sandboxes and AI governance products.
• Own the learning technology stack built on Skilljar and Instruqt, including catalog, learning-path structure and authoring workflows.
• Build hands-on: author the first implementation paths, labs and assessments, and configure and administer Skilljar and Instruqt.
• Design an AI-native training practice where agents draft content from product docs and engineering changes, with an SME review gate before publishing.
• Establish repeatable curriculum standards for path templates, hands-on labs, assessment and badging, and content refresh cycles.
• Partner with technical subject-matter experts in Professional Services to build content and support them on authoring in Instruqt.
• Use AI agents, vendors, contractors and SMEs as leverage to scale output ahead of headcount.
• Define the team model: roles, sequencing and the business case for first hires.
• Ensure learner data practices meet Docker's privacy, security and vendor review standards, including PII minimization and DPA requirements.

Required qualifications

• 10+ years in technical training, customer education or enablement leadership at a SaaS or infrastructure company.
• 5+ years leading programs or teams, with a record of building a function from the ground up.
• Comfortable as a hands-on builder and sole practitioner, with the ability to hire and lead a team as the function grows.
• Demonstrated ability to influence senior stakeholders and technical contributors without formal authority.
• Hands-on experience with an enterprise LMS and learner journey design.
• Experience building and running customer implementation, onboarding or education programs, including instructional design, hands-on labs, and certification or badging.
• Experience with AI/ML and agentic AI concepts, and building training for AI workloads in enterprise environments.
• Proven record of measuring training impact using implementation completion, adoption and business metrics, including retention, expansion and revenue contribution.

Nice to have

• Hands-on experience applying AI and LLM tools to content production, learner support or learning operations, with human review and quality controls.
• Experience building agent-based or MCP-integrated learning and documentation experiences, including AI lab coaching and automated assessment.
• Experience managing vendors and platform engagements, including professional services partners and internal engineering dependencies.
• Strong technical credibility in containerization, software supply chain security, and enterprise IT and identity environments.
• Experience linking customer education to implementation completion, retention and time-to-value metrics in a customer success or CRM platform.
• Experience unifying documentation and learning platforms into a single SSO-authenticated learner experience.

Benefits

• Remote-first work, with offices in Seattle and Paris.
• Flexible schedule.
• Generous PTO, quarterly Whaleness Days, and an end-of-year Whaleness break.
• Home office support.
• Technology stipend equivalent to US$100 net per month.
• Annual learning and development stipend for conferences, courses and certifications.
• 16 weeks of paid parental leave after six months of employment.
• Equity for all full-time employees.
• Medical, retirement and paid holidays, varying by country.
• Docker swag.

Before you apply

• Visa sponsorship is not available for this role.
• Docker may use AI-assisted tools in its recruiting process.
• Interview recordings are optional and require explicit consent.

About the company

Docker builds developer tools used by more than 20 million monthly users, including Docker Desktop, Docker Hub and Docker Scout. The company is a globally distributed, remote-first team focused on secure infrastructure for AI agent workflows.