Teaching Assistant - IT Project Management with AI
Role details
Job location
Tech stack
Job description
As a Teaching Assistant, you will support participants throughout the bootcamp experience, help guide their learning process, and contribute to a motivating and successful learning environment.
Project Management: Product discovery, user needs, prioritization, roadmapping, stakeholder management, metrics, MVP thinking, and agile collaboration.
IT Project Management: Project planning, scope definition, timelines, risk management, communication, coordination with technical teams, and delivery workflows.
Agile Methods: Scrum, Kanban, sprint planning, retrospectives, and working in iterative environments.
Tools & Workflows: Jira, Confluence, Miro, Notion, Figma, or comparable collaboration and planning tools.
Key Responsibilities
Student Support & Engagement
- Actively support students by answering questions, clarifying concepts, and assisting with exercises, projects, and assignments.
- Facilitate learning by applying technical knowledge in practice and helping students overcome challenges.
- Encourage collaboration, problem-solving, and a growth mindset within the cohort.
- Contribute to a positive, inclusive, and engaging classroom environment where students feel supported and motivated.
- Assist the coach during lessons by reinforcing key concepts and guiding students through exercises.
Cohort Administration
- Manage daily check-ins and track student attendance, ensuring accurate records.
- Monitor student progress by reporting observations on attendance, engagement, and performance to the coach.
- Provide timely feedback to coaches on cohort dynamics or emerging issues.
- Collaborate with Program and Careers teams to support the full student journey and career preparation.
Requirements
Do you have experience in Teaching?, Professional Experience: Proven professional experience in Product Management or IT Project Management.
Strong understanding of modern workflows, tools, and collaboration practices.
Demonstrate strong AI fluency and a practical understanding of how AI tools can support modern work in Product Management or IT Project Management.
Language Proficiency: Native or Near-Native English is mandatory (course language).
Methodology: Strong experience with agile methods (Scrum/Kanban/Lean).
Ideally, previous experience in teaching, mentoring, training, or workshop facilitation.