Top Edtech Jobs in Boston, MA

The Associate Director Mission Impact Investing will oversee and ensure sound, innovative investments aligned with Britebound's mission, while conducting due diligence and providing technical assistance to investees.

The Account Executive will drive sales by executing a strategic plan, building customer relationships, managing the sales pipeline, and achieving targets. Responsibilities include prospecting, representing Snap! Mobile at events, and cultivating relationships within schools and organizations.

Lead the CloudOps team to enhance internal platforms and developer experience, modernize legacy systems, and collaborate on tool improvement for reliable software deployment on AWS.

The Sr. Talent Development Manager facilitates leadership development programs, designs enablement strategies, and partners with executives to enhance organizational effectiveness and drive measurable business impact.

The Principal Sales Compensation Support will design and manage sales compensation plans, oversee quotas, validate calculations, and provide insights to optimize strategies while ensuring compliance and accuracy.

The Senior Marketing Operations Manager will oversee the implementation of AI in marketing processes, manage AI projects, design governance frameworks, and foster adoption of AI capabilities across teams.

Manage supply and demand forecasts for launch markets, optimize operations, and monitor marketplace performance to drive efficiency and growth.

Lead and mentor a team of software engineers while overseeing AI-powered product development, engineering delivery, and strategic planning within a financial technology company.

The role involves architecting QuillBot's AI systems, leading R&D and Applied AI teams, and integrating cohesive workflows across products. Responsibilities include designing agent-driven systems, optimizing performance, and aligning cross-functional teams for effective execution.

As Senior Director of AI, lead the development of QuillBot's agent-driven AI platform, overseeing AI R&D and Applied AI teams for cohesive product integration and system architecture.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.