Learning Program Methodologist

Compensation: Competitive, based on experience

Dandelion Civilization is a Software Development company transforming how organizations find and develop talent. We use simulations and behavioral analytics to help companies make smarter hiring decisions - because we believe in hiring by behavior, not by CV.

We are looking for a Learning Program Methodologist to design next-generation learning programs that go beyond lectures and quizzes.

Our programs:

• are guided by adaptive logic
• measure real skill development
• combine learning and assessment
• build digital development profiles linked to career growth

You will be responsible for learning architecture, simulation design, measurable outcomes, and ensuring methodological integrity across the entire learning system.

• Design structured learning programs (modules, progression logic, milestones)
• Define measurable learning outcomes
• Develop practice-based and simulation-driven experiences
• Establish clear success and completion criteria

• Translate competencies into behavioral scenarios
• Design structured simulation flows
• Ensure alignment between learning objectives and assessment logic
• Collaborate with product and technical teams to implement adaptive mechanisms

• Develop soft skill and meta-skill evaluation models
• Define progress and performance metrics
• Connect learning results to digital profiles and role readiness
• Build skill-gap frameworks
• Define role-specific competency frameworks
• Design development pathways from current to target level
• Create structured recommendations for professional growth

• Strong understanding of competency-based learning
• Experience with simulation-based or adaptive learning is a plus
• Background in organizational psychology or HR development is an advantage

• Ability to convert abstract skills into measurable behavioral indicators
• Clear distinction between content creation and learning architecture
• Ability to design learning as a structured development journey

• Experience or interest in working with digital learning systems
• Understanding of branching logic and adaptive pathways
• Comfortable with digital collaboration tools (Google Workspace, Notion, Miro, etc.)
• Professional English proficiency

• Deep interest in the intersection of education, psychology, and technology
• Comfortable working in high-ambiguity environments
• Proactive and accountable
• Strong communication and structured thinking
• Collaborative mindset with high independence

• Opportunity to shape a new standard in structured, measurable learning
• Work at the intersection of HR-tech, EdTech, and behavioral analytics
• Influence the architecture of a scalable learning system
• International, fast-growing environment
• Strong career growth opportunities

We believe learning architects should experience the system they'll be designing. Our selection process mirrors how we build — analytical, adaptive, and human-centered.