Top Edtech Jobs in Boise, ID

Leads D2L’s Infrastructure Services team and oversees corporate IT infrastructure, cloud platforms, reliability, security, maintenance, monitoring, automation, and incident management. The role develops team members, manages priorities and risks, drives Infrastructure as Code and continuous improvement, and partners across the organization to deliver scalable, resilient, secure infrastructure services. Responsibilities include administration of Active Directory, Microsoft 365, endpoint management, infrastructure licensing, system upgrades, documentation, on-call support, and operational planning.

Leads Intellum’s audience and content strategy, personally creating website, blog, email, social, and video content. Builds owned audiences and communities, drives SEO/AEO/GEO visibility, develops research and POV programs, and directs social engagement, contractors, and internal partners. The role also establishes an AI-native content operation, measures marketing performance, and collaborates with product, demand generation, and customer marketing teams to generate qualified pipeline.

Build and deploy customer-specific AI agent capabilities as a Forward-Deployed Engineer. Responsibilities include prompt and software development, RAG and tool integrations, evaluation suites, speech assets, latency optimization, production deployment, customer discovery, and ongoing tuning. The role requires translating domain needs into versioned, tested, reusable engineering artifacts while collaborating with customer teams and contributing proven patterns back to the platform foundation.

Manage client relationships for higher education customers, maximizing satisfaction, product value, and ROI. Serve as the liaison between Jenzabar and clients, conduct campus visits and annual reviews, gather product feedback, develop senior-level relationships, support account strategy and future sales, provide client service training, and represent the company at regional conferences. The role requires 50–75% travel and responsible use of AI-enabled tools and analytics.

Remote, VA-approved cybersecurity job-readiness training for U.S. military veterans. The program provides hands-on instruction in incident response, risk management, threat hunting, product security, and network security, along with simulated job tasks, projects, enterprise systems, certifications, career coaching, and employer connections. Participants complete a counselor assessment, one-way interview, acceptance process, and City University of Seattle registration.

Manages safeguarding notifications, regulatory submissions, records, audit trails, and compliance activities. Coordinates safeguarding cases, meetings, advice-line activity, deadlines, and follow-up actions while supporting operational teams. Tracks risks, trends, and regulatory requirements, ensuring accurate documentation and timely reporting. The role requires experience in regulated environments, compliance or safeguarding, auditing, strong organisation, and attention to detail. A relevant Level 3 qualification is desirable, and an enhanced DBS check is required.

Support recruitment, campus outreach, and partnership development. Source, screen, and shortlist candidates; hire campus ambassadors and sales interns; coordinate onboarding, meetings, and payments; maintain partner relationships and track deliverables.

Own and grow a regional portfolio of college and university accounts. Prospect professors and department leaders, conduct discovery and product demonstrations, present Top Hat’s SaaS platform and digital textbook solutions, negotiate, and close new business. Partner with Customer Success, Product, and Marketing teams to deliver strong customer experiences and increase revenue. The role requires full-cycle sales execution in a metrics-driven, remote-first environment.

Evaluate AI models for dangerous CBRNE-related outputs, designing adversarial prompts, multi-turn attack chains, and threat models. Assess technical accuracy and real-world risk, distinguish open-source information from harmful uplift, score responses using severity rubrics, and document failures. Collaborate with AI researchers and policy teams to improve model safeguards and evaluation frameworks while following strict ethical and operational security protocols.

Lead experimentation and decision science initiatives from problem definition through recommendations. Design and analyze A/B tests, quasi-experiments, matched-market tests, and causal inference studies. Apply advanced statistics, regression, predictive modeling, machine learning, and big-data analysis using Python, R, SQL, and PySpark. Partner with stakeholders, communicate actionable findings, build reproducible workflows, and mentor analysts and junior data scientists.