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AI/ML Group Product Manager - Instructor

Minimum Qualifications
  • Degree: Bachelor's degree or higher in Computer Science, Artificial Intelligence, Statistics, Business, or a related field. If you do not have a Masters or higher degree, in AI you will have ideally completed DeepLearning.AI's Deep Learning Specialization, the Generative Adversarial Networks Specialization, and Generative AI with LLMs. 
  • Industry Experience: At least 10 years of experience in product management, co-founder or related technical role., including 5 of the most recent years in AI. 
  • Teaching Experience: Proven experience in teaching, training, or mentorship in academic or professional settings.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex AI concepts to a diverse student base.
  • Collaborative Skills: Ability to work collaboratively with instructors, students, and industry professionals.
Preferred Qualifications
  • Advanced Degree: Master’s degree or higher in Computer Science, Artificial Intelligence, Statistics, or a related technical field.
  • Curriculum Development: Experience in developing and revising curricula in higher education or professional training programs.
  • Industry Network: Strong professional network in the AI and product management communities.
  • Publication and Research: Record of publications or contributions to research in the field of AI or product management.
  • Multidisciplinary Background: Experience in multidisciplinary settings, integrating insights from computer science, business, and product design.
  • Online Teaching Experience: Experience in delivering engaging and effective online education.
  • Top-tier organization Experience: Currently working at an AI product organization including, but not limited to, Anthropic, Apple, Amazon, Google, Meta, Microsoft, Netflix, Nvidia, OpenAI and the like.
About the role

We seek a dedicated and knowledgeable Instructor to join our team and contribute to our Artificial Intelligence Product Management modules, culminating in a capstone and final certificate exam. In this role, you will teach at least one of the comprehensive modules that prepare students for the final exams. This role offers the opportunity to shape the next generation of AI Product Managers by imparting practical knowledge, industry insights, and real-world skills. You will be working in a dynamic educational environment, engaging with students who are passionate about AI and its applications in product management. The ideal candidate will be an expert in product management with substantial experience in the field of Artificial Intelligence and a passion for teaching and mentorship.

Responsibilities
  • Develop and Teach Course Material: Prepare and deliver engaging, insightful, and up-to-date course content for one or more modules that lead to the Artificial Intelligence Product Leader certificate (AIPLC)TM.
  • Student Engagement and Support: Actively engage with students through lectures, discussions, and office hours, providing guidance and feedback to ensure their academic and professional development.
  • Assessment and Evaluation: Design and administer assessments to evaluate student performance, provide constructive feedback, and adapt teaching strategies to meet diverse student needs.
  • Curriculum Development: Collaborate with academic and industry experts to continuously update and improve the curriculum, ensuring it remains relevant and cutting-edge.
  • Industry Integration: Integrate real-world AI product management challenges and case studies into the curriculum to provide practical learning experiences.
  • Research and Development: Stay abreast of the latest AI and product management developments, incorporating these advancements into teaching and course materials.
  • Mentorship: Mentor students on career paths, industry trends, and academic pursuits in the field of AI product management.
Modules you could be a fit for:

In addition to what is listed for additional prerequisites, the applicant can ensure that the students meet the desired outcome for that module. 

Module 0: Python for PMs

  • Additional prerequisites: Proficiency in Python 3 with at least 2 years of experience. Part of your interview will include coding exercises. 

Module 1: Statistics Refresh

  • Additional prerequisites: University-level statistics course or equivalent with demonstrated ability to apply statistics to A/B and multivariate testing. At least one of your interviewers will have a math-heavy advanced degree. 

Module 2: Fundamentals of AI/ML

  • Additional prerequisites: Hands-on experience running ML models and competing in Kaggle competitions and enough experience with the following libraries to teach at least 2-months before the module start date: Scikit-learn, TensorFlow, Keras, Pandas, NumPy, and up-and-coming libraries such as fastai.

Module 10: Ethics and Legal Considerations

  • Additional prerequisites: Deep understanding of AI-related policies and previous experience bringing AI products to life while coordinating with legal throughout the process. Knowledge of ISO-42001 as well as big tech's various AI policies. 

Module 11: Entrepreneurism and Execution

  • Additional prerequisites: A few 0-1 product launches where you pitched for funding and then led the execution.
Module 12: AI/ML Product Lifecycle
  • Additional prerequisites: Experience with 0-1 AI and LLM product lifecycle and the additional prerequisites listed for the capstone project. 

Module 13: C-Suite Communication & Collaboration

  • Additional prerequisites: GPM or higher role with demonstrated career advancement and experience at least two years of experience working with C-suite executives in a 50K plus person tech organization or C-suite executives who came from a 50K plus person tech organization. 

Module 14: Product Sense

  • Additional prerequisites: Demonstrated ability to pass a product sense interview question where your answer involves a solution with AI. 

Module 15: 0-1 Product Launch and Demos

  • Additional prerequisites: Portfolio of at least two end-to-end products you created using an LLM to produce code you can implement for a front end, back end, and logic required for your application at least two months before the course start date. Ideally, you will have the apps available for trial use and YouTube videos on how you created them. 

Depending on your skill set, you may be a fit for even more modules, and the full list of modules can be located here.

Pay

As this will be a contract role, you will be required to have a company setup so that we can pay you, and the range per Module is between $1,800 to $11,500 USD, depending on the duration of the Module and your experience. We can convert USD to CAD at a preferred rate through our currency exchange provider if you prefer to be paid in CAD.

Hiring & Onboarding Process

The hiring and onboarding process goes as follows:

  1. Apply for the role and modules you are interested in
  2. We have a discussion
  3. You are invited for a short mock teaching assignment
  4. Offer extended
About Cascadia Data Science Institute

Founded in 2018, Cascadia Data Science Insitute is offering what will become known as the gold standard in AI product leader education. Our AI Product Leader Certificate" (AIPLC)TM, compresses an intense education in ML, Deep Learning, GenAI, and soft and hard PM skills to create new leaders in the field. Our bleeding-edge curriculum starts on May 1, 2024 and the full list of Modules can be found here.