Top Edtech Jobs

The Clinical Supervisor oversees and supports Speech-Language Pathologists, ensuring clinical excellence and client satisfaction while managing team performance and compliance.

The Director of Partnerships leads sustainability and programming for educator preparation programs and collaborates with local education agencies to enhance teacher apprenticeships and impact PK-12 students. Responsibilities include overseeing partnerships, managing grant outcomes, and ensuring program quality. The role requires strong leadership and relationship-building skills with various stakeholders in the education system.

The Senior Corporate Recruiter will lead the full-cycle recruitment process, partnering with founders to hire key leaders and manage the hiring strategy for multiple roles in a fast-growing edtech startup.

The Regional Director will develop partnerships, manage client relationships, and drive revenue growth while promoting high-quality educational programs. This role requires strategic consulting and significant experience in sales and project leadership.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

The Business Development Manager will expand market presence, develop client relationships, and drive sales of ITIL products in America, leveraging B2B strategies and collaborating with partners and internal teams.

The Account Manager will support first-year school customers by managing onboarding, driving engagement, and ensuring product success through training and collaboration with internal teams.

The Partnerships Account Executive will drive and manage partnerships with various organizations to expand Betabox's reach in STEM education. Responsibilities include pipeline generation, relationship nurturing, and account management, focusing on consultative sales and securing renewals.

The Instructional Manager oversees K-12 online program delivery, supports instructional teams, monitors class quality, and drives improvements while coordinating operational aspects globally.

The Applied AI Engineer will focus on machine learning applications, defining ML benchmarks, deploying ML systems, and guiding technical culture.