Top Edtech Jobs in Denver & Boulder, CO

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

Serve as a strategic partner to K-12 district leaders to drive successful implementation of Ellevation, build trusted relationships, analyze partner health data, and guide districts to improve outcomes for multilingual learners. Collaborate cross-functionally to advocate for partner needs, support onboarding and scaling, and surface feedback to product teams to enhance the partner experience.

Manage and grow existing K-12 district partnerships to drive renewals and upsells for Ellevation. Monitor engagement, increase product adoption, build relationships with district leaders, collaborate cross-functionally, track activity in Salesforce, meet sales quota, and travel to support accounts. Focus on improving outcomes for English Learners while expanding revenue and shaping sales strategy.

Own growth and health of a 50+ campus partner network: expand course adoption, manage renewals, build faculty and administrative relationships, monitor partner health with data, identify growth opportunities, and coordinate with Product and Delivery to ensure smooth implementations.

Drive revenue growth by expanding existing accounts through strategic, solution-focused enterprise sales. Build C-level relationships, collaborate with account teams, demo software, negotiate deals, and exceed quota while growing pipeline and whitespace within assigned accounts.

Design and develop scalable, engaging learning experiences across modalities (instructor-led, self-paced, experiential). Conduct gap analyses, create curricula and assessments, manage ID projects, integrate accessibility, and measure program outcomes.

Design, prototype, and deploy LLM-powered agents, RAG workflows, and automations that accelerate internal teams and customer-facing product features. Integrate AI systems with SaaS tools, build reusable components and evaluation frameworks, embed with business teams to deliver measurable outcomes, and establish standards for responsible AI, monitoring, and cost control across the company.

The VP of Engineering will lead the engineering organization, scale operations, drive AI integration, ensure delivery excellence, and foster collaboration with product and technology teams.

The Sales Contractor will focus on prospecting, building relationships, and closing new business partnerships, primarily with schools and community groups, while handing off account management tasks to an Account Manager.

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

The pega6 Fellowship is a 12-month program for recent CS grads, providing training to build AI software and transitioning them into full-time roles.