Curriculum Product Manager

Curriculum Product Manager

Deep Learning.

AI is looking for a Curriculum Product Manager to work with our network of world experts in the AI space to create high‑quality education content. In this role, you will leverage your expertise in learning experience design to help AI experts produce high-quality courses and effective learning experiences. Your experience as an educator, your technical skills in the AI space, and your ability to communicate and work well with a team will all be critical for this role.

You must already have authorization to work in the United States.

Although we are headquartered in Mountain View, California, we are open to remote workers as long as they are within 3 time zones of California (PDT / GMT –7).

• Be accountable for co‑creating AI / ML courses on Coursera and the Deep Learning.
  
  AI platform through partnerships with world‑class AI experts.
• Be the authority on the course creation process and guide the Subject Matter Experts (SMEs) and other content development partners through it.
• Ensure consistently high content quality by holding the bar for technical content that is accurate, engaging, and effective, and guide and support the team, including the SME in reaching that bar.
• Develop an independent perspective on the material being taught so that you can flex to assist the SME in fleshing out the topic and/or assist the content development team in creating relevant learning material if needed.

• Quickly learn about the course topics from journal articles and other technical material.
• Assess how the SME’s expertise can best be utilized, and direct the work of other team members to effectively deliver high‑quality content in a timely manner.
• Review and provide constructive feedback on technical AI content created by the SMEs and others, and determine how it can be converted into a high‑quality learning experience through improvements to the words, visuals, code, and overall flow of ideas.
• Track the creation and external review of all elements of the course, and create them yourself if need be.
• Work closely with a production and visual design team to record videos, add visual design, and deliver high‑quality multimedia content to support the curriculum.

• Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning such as Deep Learning Specialization. You should be proficient in math (calculus, linear algebra, statistics, etc.) as well as Python programming (functions, classes, data structures, etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you.
  
  Basic knowledge of AI / machine learning is required.
• In‑depth knowledge of instructional design best practices, with experience in designing, structuring, and teaching technical courses. Demonstrated ability to create interactive, applied learning experiences.
• Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or equivalent industry experience with hands‑on expertise in data science, machine learning or software development.
• Excellent communicator and team player with the ability to author and edit high‑quality written content in English.
• Familiarity with prompting and GenAI tools.

• A PhD in Math, Data Science, Computer Science or a related field.
• Previous experience developing online asynchronous curriculum in the areas of GenAI, AI, machine learning, data science, robotics, or similar.
• Research or industry experience as a data scientist, machine learning engineer, or similar.

• Being part of a world‑class team of subject‑matter experts from various fields (marketing, operations, product, etc.) trying to change the world.
• Work across cultural and geographical lines alongside our offices in different parts of the world.
• A culture of lifelong learning is supported with a monthly stipend for professional development.
• The opportunity to be exceptionally creative with your high‑impact ideas.
• Competitive salary, flexible. Individual compensation offers will vary based on factors such as…