Curriculum Product Manager

Salary Range: 150000 to 180000 (Currency: USD) (Pay period: per-year-salary)

Here’s what you’ll do:

Be accountable for co-creating AI/ML courses on Coursera and the DeepLearning.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. 

You will do this by:

Quickly learning about the course topics from journal articles and other technical material.
Assessing how the SME’s expertise can best be utilized, and directing the work of other team members to effectively deliver high-quality content in a timely manner.
Reviewing and providing constructive feedback on technical AI content created by the SMEs and others, and determining how it can be converted into a high-quality learning experience through improvements to the words, visuals, code, and overall flow of ideas.
Tracking the creation and external review of all elements of the course, and creating them yourself if need be. 
Working closely with a production and visual design team to record videos, add visual design, and deliver high-quality multimedia content to support the curriculum.

Here are the skills you should have:

Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning  such as DLAI’s Deep Learning Specialization. We expect you to 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.

Bonus if you have:

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.

What you get working with us:

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.

What we offer:

DeepLearning.AI offers a competitive salary, flexible. Individual compensation offers will vary based on factors such as geographic location, work experience, education/training, and skill level. DeepLearning.AI offers a comprehensive benefits package including medical, dental, and vision coverage, a 401(k) plan, a monthly education stipend, flexible PTO, and much more.

Our defining values:

We care deeply about our learners: We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves.
We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and the people we hire.
We default to action: We are comfortable acting with limited information and taking ownership of our decisions. 
We ask why: We ask the hard questions and are open to being in the wrong. We advocate for the best ideas, not our ideas. 
We are honest and authentic: We are transparent as an organization, over-communicate to build trust, and share our failures just as we do our successes.
We do this together: We help each other grow and succeed and have fun at work, even in a remote environment.