Platform & Learning Experience Manager

Job not on LinkedIn

🕒 July 23

🇵🇰 Pakistan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Learning and Development

👻 Ghost score 34%

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Logo of Ad Astra

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

• Digitize the full training portfolio end to end, including 40-hour medical, 44-hour legal, Cultural Interpreter, and federal client-specific programs • Own the Skills Academy module product backlog, sprint planning, architecture decisions, QA gates, and release planning • Integrate AdAstra Connect so assessment results, certifications, and training history are written directly to linguist records • Open the platform to third-party trainers and establish the free-versus-paid content model • Create revenue lines for interpreter continuing education, client-licensed learning programs, and AI Agent Training engagements • Run sprint reviews with engineers and qualification-standard conversations with Recruitment • Deliver a live, integrated, actively used, and revenue-generating Skills Academy within twelve months

🎯 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

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