Top Edtech Jobs in Chicago, IL

The Analyst will implement Axiom software, facilitate client integration, utilize SQL and Excel for problem-solving, lead training, and enhance operational processes.

The Senior Manager of Performance Marketing will oversee paid media strategy across multiple business lines, manage agencies, and ensure alignment with sales strategies while focusing on performance and reporting.

Lead marketing strategy and performance for an assigned portfolio, collaborating with cross-functional channel teams to plan, execute, optimize, and report on multi-channel digital campaigns to meet enrollment targets. Monitor funnels, manage asset change requests, maintain marketing roadmaps, curate student testimonial assets, and participate in strategic initiatives to improve team efficiency and partner outcomes.

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.

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, 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.

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