Ad Astra
51 - 200 employees
Founded 1996
💼 Consulting
📦 Logistics
📚 Education
Consulting • Logistics • Education
Ad Astra is an AI-powered academic scheduling and planning software company that provides end-to-end scheduling solutions for colleges and universities. It helps institutions optimize course schedules, classroom and event assignments, faculty capacity, and registration monitoring to boost student completion rates, operational efficiency, and financial sustainability through predictive analytics, real-time integrations with student information systems, and consulting services.
Platform Learning Experience Manager
Job not on LinkedIn
🕒 July 23
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Ad Astra
51 - 200 employees
Founded 1996
💼 Consulting
📦 Logistics
📚 Education
Consulting • Logistics • Education
Ad Astra is an AI-powered academic scheduling and planning software company that provides end-to-end scheduling solutions for colleges and universities. It helps institutions optimize course schedules, classroom and event assignments, faculty capacity, and registration monitoring to boost student completion rates, operational efficiency, and financial sustainability through predictive analytics, real-time integrations with student information systems, and consulting services.
📋 Description
• Digitization of a full training portfolio end to end (40-hour medical, 44-hour legal, Cultural Interpreter, and federal client-specific programs) • Product ownership of the Skills Academy module — backlog, sprint planning, architecture decisions, QA gates, and release planning • The AdAstra Connect integration: assessment results, certifications, and training history written directly to linguist records • Opening the platform to third-party trainers and establishing the free-versus-paid content model • Creation of three new revenue lines: interpreter continuing education, client-licensed learning programs, and AI Agent Training engagements
🎯 Requirements
• 3 - 5+ years of proven experience as a Product Owner, Platform Manager, or Technical Program Manager in a platform environment • Hands-on LMS and platform architecture fluency — SCORM/ xAPI , SSO, video delivery infrastructure, assessment engines, credential tracking, and learning analytics • Experience working inside engineering teams, not simply adjacent to them • Ability to write technical specifications and translate complex requirements into business decisions • Experience with integrations, APIs, data models, and SaaS platforms • AI governance awareness including adaptive learning, agentic features, privacy, and security-by-design principles • Minimum four-hour daily overlap with 9:00 AM–5:00 PM US Eastern
🏖️ Benefits
• None specified
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