Top Edtech Jobs in Denver & Boulder, CO

The CareDriver Support Manager leads a remote team, ensuring high-quality support and safety standards, manages performance metrics, and implements operational improvements.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Senior Data Analytics & Insights Manager drives the development and delivery of scalable data products for GTM decision-making, engaging with stakeholders to create insightful dashboards and metrics through Tableau and BI governance.

As an Account Development Representative, you will build pipeline, engage Fortune 1000 companies, and showcase Udemy's value proposition through strategic outreach and collaboration with Account Executives.

The Senior GTM Operations Specialist optimizes go-to-market strategies, supports sales processes, collaborates across teams, and analyzes revenue performance to maximize efficiency and growth.

As a Consultant in Staff Augmentation, you will support financial planning and performance for customers, manage project budgets, and analyze tool configurations while serving as their primary point of contact.

Own and execute full-stack growth marketing across paid media, CRM (email/SMS), social, influencer and affiliate channels. Build lifecycle campaigns, manage creative and agencies, run conversion and lead-capture experiments, and analyze performance to iterate and scale growth across multiple vertical brands.

As a Federal Account Executive, you will grow an existing account territory by utilizing a relationship sales approach, delivering strategic solutions to federal clients and achieving revenue goals.

The Marketing Strategy & AI Operations Lead drives strategic marketing initiatives, enhances execution efficiency through AI, and collaborates with various teams to boost revenue growth and business impact.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

Responsible for ensuring data integrity, designing automated testing frameworks, monitoring data pipelines, and collaborating with teams to define data quality standards.