[Hiring] Instructor - Product Management Workshop/Masterclass @Fullstack Academy

Role Description

The Part-Time Instructor – Product Management Workshops plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our Product Management programs developed in collaboration with UC San Diego Division of Extended Studies.

• Facilitate live online workshops.
• Create high-quality instructional content.
• Mentor learners and connect Product Management concepts with real-world business applications.
• Design presentations, develop practical case studies, and lead interactive activities.
• Classes are delivered 100% online in a synchronous, instructor-led format.

Key Responsibilities

• Deliver instructor-led Product Management workshops for online learner cohorts.
• Cover core Product Management topics including:
  • Product Sense and Customer Discovery
  • Product Strategy and Prioritization Frameworks
  • Product Requirement Documents (PRDs)
  • AI and Technology Fundamentals for Product Managers
  • Product Metrics and Analytics
  • Product Management Interview Preparation
• Prepare and continuously update:
  • Workshop presentations
  • Learning materials
  • Practical exercises
  • Hands-on activities
  • Case studies
  • Templates and reference documents
• Conduct interactive workshops, group discussions, Q&A sessions, and practical exercises.
• Guide learners through real-world Product Management scenarios using practical examples from industry.
• Mentor learners by providing individualized feedback on assignments, workshop activities, and product thinking.
• Support learners in developing structured approaches to product discovery, prioritization, roadmap planning, and stakeholder communication.
• Maintain high learner engagement and instructional quality throughout all sessions.
• Stay updated with current Product Management practices, AI product trends, emerging technologies, and industry frameworks.
• Collaborate with internal curriculum teams to continuously improve workshop content and learner outcomes.

Qualifications

• Bachelor's degree in Business, Engineering, Computer Science, Information Systems, or a related field.
• 6+ years of Product Management experience, preferably within product-based technology companies.
• Experience working at MAANG companies, leading global technology organizations, or top product startups is highly preferred.
• Demonstrated expertise across the Product Management lifecycle.
• Prior experience teaching, coaching, mentoring, or facilitating workshops for professionals.
• Strong understanding of:
  • Product Strategy
  • Product Discovery
  • Customer Research
  • Product Prioritization Frameworks (RICE, MoSCoW, Value vs Effort)
  • Product Requirement Documents (PRDs)
  • Product Metrics and Analytics
  • Stakeholder Management
  • AI-powered Product Development fundamentals
• Excellent communication, presentation, and facilitation skills.

Requirements

• Strong instructional and learner engagement abilities.
• Ability to simplify complex Product Management concepts through practical examples and case studies.
• Experience creating professional workshop presentations and learning content.
• Strong mentoring and coaching capabilities.
• Excellent communication and storytelling skills.
• Experience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms.
• Strong stakeholder communication and cross-functional collaboration skills.
• Ability to facilitate highly interactive, activity-driven learning experiences.

Preferred Skills

• Experience mentoring aspiring or early-career Product Managers.
• Experience preparing candidates for Product Management interviews.
• Familiarity with AI-enabled product development and emerging AI technologies.
• Experience working with Product Analytics and experimentation frameworks.
• Exposure to Agile, Scrum, and Lean Product Development.
• Experience creating Product Management case studies and workshop materials.

Key Competencies

• Strong instructional and facilitation skills.
• Excellent Product Management expertise.
• Ability to explain complex concepts clearly using real-world examples.
• Professional virtual presence.
• Analytical thinking and structured problem-solving.
• Strong mentoring and coaching mindset.
• Excellent communication and stakeholder management abilities.
• Passion for developing future Product Managers.

Student Support & Mentorship

• Provide individualized learner support during live workshops and scheduled office hours.
• Maintain regular communication regarding learner progress, workshop expectations, and skill development.
• Respond promptly and professionally to learner and internal team communications.
• Provide timely, constructive feedback on workshop activities, assignments, and case studies.
• Support learners in applying Product Management frameworks to practical business scenarios.

Performance Monitoring

• Evaluate learner progress based on workshop participation, assignments, and practical exercises.
• Maintain accurate records of learner engagement and performance.
• Identify learners requiring additional support and collaborate with internal teams to improve learning outcomes.
• Contribute to continuous improvement initiatives for workshop quality and learner success.

Collaboration & Professional Conduct

• Adhere to institutional policies and instructional standards.
• Foster an inclusive, collaborative, and professional learning environment.
• Serve as a mentor and industry role model for aspiring Product Managers.
• Collaborate with instructional staff and curriculum teams to enhance learner experience and workshop effectiveness.
• Represent Simplilearn professionally when interacting with learners, staff, and external stakeholders.

Work Schedule

• Part-Time instructors typically work 8–12 hours per week, depending on workshop schedules.
• Each Product Management workshop is approximately 3 hours in duration.
• Sessions are delivered live in a fully online format.
• Flexibility for evening and weekend availability is preferred based on learner cohort schedules.

Compensation

• The anticipated compensation for this position is $80 per hour, depending on qualifications, experience, and alignment with program requirements.
• This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal, state, and local wage and hour laws.

Equal Employment Opportunity

We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Work Authorization

Applicants must be legally authorized to work in the United States at the time of application and throughout employment.