Khan Academy

Khan Academy

Rostering Specialist, District Success (10 month Fixed Term)

Mountain View, CA / Remote (US Only)

Sponsorship not specified$78k-$87kDetected 19 days ago
OnboardingCustomer SupportResearchCommunicationPublic Speaking

About the role

  • This role is essential to ensuring that students, teachers, and administrators have accurate and dependable access to their Khan Academy accounts.

Responsibilities

  • Collaborate with district administrators/district IT leaders and staff to successfully connect Khan Academy to the school district's student/teacher roster to ensure accurate rosters updated daily.
  • Manage the technical setup of assigned district rosters, paying close attention to accuracy.
  • Become a product expert and use that knowledge to help support unique district implementations.
  • Closely monitor new partner account activation and provide support for any issues that arise.
  • Support internal team members with technical issues reported by their district partners.
  • We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love.

Requirements

  • 2+ years experience in a customer onboarding or technical support role
  • An appreciation for learning how technology works at a deep level
  • An enjoyment for building, documenting, and improving internal processes for seamless operations and stakeholder engagement
  • A flexible and people-first attitude
  • Motivated by the Khan Academy mission "to provide a free world-class education for anyone, anywhere."
  • Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
  • We may be a non-profit, but we reward our talented team extremely well! We offer:

Nice to have

  • 2+ years of rostering experience preferred
  • An ability to identify when something is working as intended or if an issue needs to be addressed
  • The ability to describe complex products or processes in a way that is easy to understand
  • Strong verbal and written communication skills
  • Excellent prioritization skills and follow-through
  • Knowledge of K-12 users and stakeholders

Compensation

  • The compensation band for this role is $77,600 - $87,300 USD annually.
  • The pay range for this position is a general guideline only.

Benefits

  • 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life
  • The salary offered will depend on internal pay equity and the candidate's relevant skills, experience, qualifications, and job market data.
  • Ample paid time off as needed - Your well-being is a priority
  • 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost
  • Generous parental leave
  • The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
  • As a company, we have conviction in our aspirational point of view of how education will evolve.

Company info

  • Sal's TED talk from 2011
  • Sal's TED talk from 2015
  • Sal's TED talk from 2023
  • http://www.khanacademy.org/about/the-team
  • Live & breathe learners
  • We deeply understand and empathize with our users.
  • Our success is defined by the success of our learners and educators.
  • Take a stand
  • The work we do is in service to moving towards that point of view.
  • However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.
  • Embrace diverse perspectives
  • We are a diverse community.

Visa & Work Authorization

  • race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status

This listing is sourced directly from Khan Academy's careers page and normalized into a canonical job model.