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- Tasks: Guide professionals in AI product management and deliver engaging live lectures.
- Company: Join General Assembly, a leader in tech education and innovation.
- Benefits: Earn $15,500 for a 2-week remote engagement with flexible hours.
- Other info: Work remotely and make a significant impact in just two weeks.
- Why this job: Shape the future of AI product management while mentoring aspiring professionals.
- Qualifications: 7+ years in product management and strong teaching skills required.
General Assembly is seeking a Lead Instructor: AI-Enabled Product Manager for a 2-week remote engagement. You will guide professionals transitioning into AI product management roles, deliver live lectures, and provide mentorship on AI frameworks and Microsoft tools.
The ideal candidate has over 7 years in product management, experience with AI initiatives, and proven teaching skills. Commitment is 30 hours/week during West Coast business hours. Compensation is $15,500 for the project.
Lead Instructor: AI-Driven Product Management in London employer: General Assembly
Contact Detail:
General Assembly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Instructor: AI-Driven Product Management in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and product management space. We can’t stress enough how valuable personal recommendations can be in landing that dream role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a blog where you share insights on AI frameworks and product management. This not only highlights your skills but also demonstrates your passion for the field.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI product management. We suggest doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Instructor: AI-Driven Product Management in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and product management. Share specific examples of your experience with AI initiatives and how they’ve shaped your approach to product management.
Highlight Your Teaching Experience: Since this role involves delivering lectures and mentoring, make sure to showcase your teaching skills. Include any relevant experiences where you’ve guided others, whether in formal settings or through workshops.
Tailor Your Application: Don’t just send a generic application! We want to see how your unique background fits the Lead Instructor role. Customise your CV and cover letter to reflect the skills and experiences that align with our job description.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at General Assembly
✨Know Your AI Stuff
Make sure you brush up on the latest trends and frameworks in AI product management. Familiarise yourself with Microsoft tools that are commonly used in the industry, as you'll likely be asked about your experience with them during the interview.
✨Showcase Your Teaching Skills
Since this role involves delivering live lectures, prepare to demonstrate your teaching style. Think of examples from your past experiences where you've successfully mentored or taught others, and be ready to discuss how you engage your audience.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in AI product management. Practice articulating your thought process and decision-making strategies when faced with real-world challenges in product development.
✨Align with Their Values
Research General Assembly's mission and values. Be prepared to explain how your background and teaching philosophy align with their goals, especially in helping professionals transition into AI roles. This shows you're not just a fit for the role, but also for the company culture.