| April 2, 2024

Manager, AI Learning Studio

Guest Author


  • Full Time
  • Anywhere
  • $75,000 - $103,000 USD / Year

Website Stanford Accelerator for Learning

The Stanford Accelerator for Learning (SAL) seeks a full-time Studio Manager to oversee operations and programming of our new AI maker space (tentatively known as the AI Learning Studio). In collaboration with faculty and students, the Studio Manager will be responsible for creating and sustaining an AI learning program in which individuals from all levels of experience can explore approaches to learning that leverage new AI tools. This person will collaborate well with students and faculty as well as technical staff in a fast-paced, project-based environment. If you enjoy engaging with and supporting a diverse community of learners, we want to hear from you!


Note: This is a 1-year fixed term position that may be renewed subject to funding and operational need. This position is based on Stanford’s main campus and will be eligible for a hybrid work arrangement (minimum 3 days in the office per week). Interested applicants should include a resume and cover letter describing why they are interested in this position at this stage in their career.



Housed at Stanford Graduate School of Education, the Stanford Accelerator for Learning is the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change.


The AI Learning Studio is hosted by the GSE Makery, which provides equipment and support for the Graduate School of Education community to improve lives through hands-on learning. The unique focus of the GSE Makery is captured in our motto, “Learn to make. Make to learn.” The new AI Learning Studio will extend the opportunities for making into the realm of AI tools, providing opportunities to research, design, tinker, build, craft, and create.



Reporting to the Director of the GSE Makery, the Studio Manager will manage the day-to-day operations, programs, and student staffing of the AI Learning Studio. This includes computer maintenance, scheduling, and outreach communication. The Studio Manager will also lead workshops and provide training to students and faculty on various AI-based tools and technologies. Our ideal candidate is highly organized, adaptable, and resourceful. They will also enjoy working with, guiding, and interacting with students and the broader campus community.


Primary responsibilities include:


Dissemination: Actively encourage and support the use of AI-based tools by developing and implementing new resources for instructors or students, assisting them with the tools, disseminating knowledge of these tools, and creating and supporting an infrastructure that allows use of the tools in learning.

  • Develop and lead dissemination of resources, seminars, courses, or workshops about uses of AI technologies in educational contexts.
  • Assess training needs; develop and deliver workshops and innovative, user-friendly documentation.
  • Consult on educational technology needs for instructors and/or students and provide or coordinate solutions.
  • Engage in initiatives to encourage faculty and/or students to adopt the use of appropriate AI technologies in their teaching, learning, co-curricular activities, or research.
  • Provide assistance in the direct integration of AI tools into course curricula, extra-curricular or co-curricular learning, and/or research projects.
  • Staff advisory group meetings (schedule, invite, agenda, etc.).

Physical and Digital Spaces: Oversee the operations and management of this evolving learning space.

  • Together with the GSE Makery team, create and implement a vision for the AI Learning Studio experience.
  • Recommend software, hardware, and multimedia equipment.
  • Maintain the AI Learning Studio calendar. Respond to inquiries about space usage and capabilities within and beyond SAL.
  • Manage a team of student helpers.
  • Maintain the AI Learning Studio web site. Update marketing/branding as needed.
  • Develop relationships with service providers throughout the university to advocate needs and obtain resources for faculty and students.
  • Track attendance and usage data. Generate quarterly usage and budget reports.


  • Stay informed about educational technology developments through lists, publications, and conferences.
  • Provide outreach and advocacy within or across departments for effective and ethical uses of AI tools in educational settings.
  • Assist with coordination of academic learning technology policies, procedures, and support.
  • Participate in or lead projects to develop innovative uses of technology for research, student learning, and/or community building.

To be successful in this position, you will bring:

  • Bachelor’s degree plus four years of relevant experience, or combination of education and relevant experience.
  • Ability to interact effectively and tactfully with members of the academic community; demonstrated experience working in an environment with colleagues of diverse backgrounds and customs.
  • Ability to plan, design, develop and evaluate engaging multimedia learning/training objects.
  • Demonstrated expertise with instructional design methodologies, pedagogical issues and best practices for classroom, online and hybrid learning.
  • Experience with delivering applications in a networked environment.
  • Excellent time management and project management skills. Demonstrated ability to manage a complex workload, prioritize tasks and use good judgment in providing services based on goal.
  • Demonstrated experience developing and delivering technical training to a non-technical audience.
  • Expert knowledge of learning management systems and various classroom and online learning technologies.
  • Ability to coordinate and manage multiple projects in a complex and technical environment.
  • Demonstrated supervisory experience.

In addition, preferred qualifications include:

  • Master’s degree in relevant area of study (learning sciences, education, computer science) preferred.
  • Previous experience teaching is a plus.

To apply for this job please visit careersearch.stanford.edu.