Accountabilities:

Own and develop the end-to-end customer implementation training strategy, focusing on administrators, IT and security professionals, DevOps teams, and non-developer audiences adopting AI governance and sandbox technologies.
Build and manage the learning technology ecosystem, including enterprise learning platforms such as Skilljar and Instruqt, overseeing course catalogs, learning paths, platform administration, and content authoring workflows.
Personally design and deliver the initial implementation learning journeys, including training modules, hands-on labs, assessments, and certification or badging programs.
Establish an AI-native training model by leveraging AI tools and agents to generate course materials, lab guides, assessments, learner support resources, and content updates based on product documentation and engineering changes.
Implement quality assurance processes, ensuring all AI-generated training materials undergo appropriate subject-matter expert reviews before publication.
Develop standardized curriculum frameworks, implementation templates, practical lab methodologies, assessment criteria, content refresh cycles, and digital customer learning experiences.
Collaborate with Professional Services engineers and technical subject-matter experts to develop accurate, relevant, and engaging training content.
Leverage AI agents, external vendors, contractors, and internal experts to increase training output and scale operations efficiently ahead of team expansion.
Establish performance measurement frameworks and dashboards to track learner progress, implementation milestones, certification completion, product adoption, and customer outcomes.
Demonstrate the business impact and return on investment of training initiatives by connecting learning performance to implementation completion, time-to-value, customer retention, expansion, and revenue contribution.
Define the future structure of the Training function, including team responsibilities, hiring priorities, resource requirements, and a business case for additional hires.
Ensure training platforms and AI-powered learning solutions comply with privacy, security, and vendor governance requirements, including personal information minimization and data processing agreements.
Build strong relationships with senior stakeholders across Professional Services, Technical Account Management, and customer onboarding teams to align training initiatives with broader business objectives.
Continuously improve learning experiences through customer feedback, learner analytics, and evolving product capabilities.

Requirements

At least 10 years of experience in technical training, customer education, or enablement leadership within a SaaS, infrastructure, or technology company.
At least 5 years of experience leading training programs or teams, with a proven track record of building and scaling a training or customer education function from the ground up.
A hands-on leadership approach, with the ability to operate independently as an individual contributor while developing the strategy and capabilities required to build a team.
Demonstrated experience designing and managing enterprise learning journeys, customer onboarding programs, and implementation training initiatives.
Practical experience with enterprise Learning Management Systems (LMS), preferably Skilljar, including platform configuration, administration, and learning path development.
Strong instructional design capabilities, including experience developing technical courses, hands-on labs, assessments, certifications, and digital learning experiences.
Experience with artificial intelligence, machine learning, and agentic AI concepts, with the ability to develop training programs for enterprise AI workloads.
Strong stakeholder management and communication skills, with the ability to influence senior leaders, technical experts, and cross-functional contributors without relying on formal authority.
Proven ability to measure training effectiveness using implementation, adoption, and business performance metrics, and communicate return on investment to executive stakeholders.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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