As the Director of Online Instruction, you will play a key role in delivering the educational experience that students from around the world receive in our online courses. In this role, you will oversee the instructors and management staff for our AoPS Online and Virtual Campus online classes, keeping the quality bar for our instruction high while promoting operational efficiency.

The Director of Online Instruction will:

• Oversee the instructional management team responsible for delivering educational services provided by AoPS Online and the Virtual Campus. 
• Ensure a high standard for the quality of instruction and grading for all online classes.
• Oversee class staffing, including seasonal planning and last-minute substitutions, as well as the hiring, training, and evaluation of instructors, teaching assistants, and graders.
• Drive continuous improvement in the Online Instruction space through data-driven insights and operational enhancements.
• Manage expenses for online instructional teams and lead initiatives to improve staffing efficiency.
• Oversee recurring projects and tasks, such as seasonal course scheduling and regular observation of staff, ensuring smooth execution and maintenance.
• Collaborate with company leadership to set priorities, policies, and operational improvements for online classes, working cross-functionally with engineering and product teams as needed.
• Act as the primary point of contact for instructional inquiries and concerns, driving troubleshooting, planning, and cross-functional coordination

The ideal candidate has:

• Strong expertise in math, science, or computer science education, with the ability to set and implement high instructional quality standards.
• Proven experience in people management, preferably managing other managers.
• Exceptional communication, organizational, and critical thinking skills.
• Ability to manage multiple projects in a fast-paced environment, adapting swiftly to changes and new challenges.
• Proficiency in leveraging technology creatively to solve complex problems and improve systems.
• Strong analytical and decision-making skills for evaluating data and managing large-scale operations and projects.

Why Join AoPS:

This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 100k-150k with a variable year-end bonus. Here are some things you can look forward to:

• Impact: Shape the educational experience for thousands of our students by leading exceptional teams, driving innovation in online learning, and ensuring the highest standards of instructional quality.
• Culture: Work and collaborate with an organization filled with builders and life-long learners who strive to discover, inspire, and train the great problem solvers of the next generation
• Flexibility: Casual work environment with a hybrid work week and flexible scheduling
• Benefits: Multiple options for Medical, Dental and Vision plans   
• Future Planning: 401K with company match
• Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve
• Ease of Transition: Relocation bonus (if currently located outside of San Diego)

Background Check: 

Please note that employment is contingent on the successful completion of a background check.

Work Authorization:

Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. 

About AoPS:

Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country’s top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.

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