{"schemaVersion":"jobsearcher.job.v1","id":"a3cff738bfcb9e5247ad4e77","url":"https://jobsearcher.com/jobs/a3cff738bfcb9e5247ad4e77","canonicalUrl":"https://jobsearcher.com/jobs/a3cff738bfcb9e5247ad4e77","title":"Instructional Design Program Manager","description":"Overview The Instructional Design Program Manager is a senior practitioner who designs, scales, and continuously improves learning programs that drive customer adoption, accelerate time-to-value, and deliver measurable business impact. This role applies generative AI and agentic workflows as practical tools in how learning gets built, personalized, and improved—not just experimentation.\nJob Description and Requirements Program and Strategic Leadership Own one or more instructional design programs or portfolios from intake through measurement and iteration, treating them as living systems rather than project deliverables.\nTranslate business priorities into outcome-based learning strategies with clear roadmaps and defined success metrics tied to adoption, efficiency, and customer impact.\nUse AI-assisted data synthesis, learner signals, and performance analytics to make faster, better-informed trade-off recommendations across scope, timeline, and resources.\nIdentify and surface opportunities to expand program value through intelligent content reuse, automated personalization, and adaptive delivery.\nAI-Augmented Design and Systems Thinking Build learning programs with generative AI as a core component, applying LLM-assisted content development, automated localization, intelligent content refresh, and AI-driven quality review as standard practice.\nDesign and implement agentic workflows that reduce manual effort in content creation, SME review cycles, translation, accessibility remediation, and learner support.\nBuild modular, prompt-driven content systems where generative AI can extend, update, and personalize assets at scale without proportional human effort.\nEvaluate emerging AI tools, agents, and platforms and provide recommendations using a clear framework for responsible use, output quality, and bias mitigation.\nApply and uphold governance practices for AI-generated learning content, including review checkpoints, accuracy standards, and transparency with learners.\nInstructional Design Leadership Advance modern instructional design practice, including AI-assisted authoring, dynamic content models, and agent-supported learner experiences such as on-demand coaching, simulated practice, and intelligent job aids.\nEnsure all learning solutions are workflow-aligned, outcome-oriented, and designed for real customer contexts rather than generic skill coverage.\nApply and help evolve design standards that improve quality, efficiency, and reuse, and that are compatible with AI-assisted development pipelines.\nReview and provide input on high-impact learning solutions to ensure they are scalable, effective, and responsibly built.\nMentor instructional designers on prompt engineering, AI tool selection, responsible generation practices, and the evolving boundaries of human vs. AI authorship.\nExecution and Delivery Lead the shift from manual, course-based production to AI-assisted, modular, continuously evolving learning ecosystems within your program portfolio.\nUse agentic tools to automate repeatable tasks: content audits, gap analysis, metadata tagging, assessment generation, and personalization logic.\nImprove discoverability and learner experience through AI-powered content recommendations, adaptive learning paths, and conversational learning interfaces.\nPartner with subject matter experts using AI-assisted interview and synthesis workflows to accelerate knowledge capture without sacrificing depth or accuracy.\nUse learner behavior data, completion signals, and AI-generated insights to continuously refine programs.\nStakeholder Partnership and Influence Partner cross-functionally to align learning investment to business priorities, with a clear AI strategy narrative for senior audiences.\nProvide well-reasoned recommendations on what gets built, how it is delivered, and where AI can close gaps faster than traditional development.\nServe as a trusted voice on the responsible use of generative AI in learning, including what it can and cannot do well, and how to communicate that to stakeholders and learners.\nRepresent the Customer Education function as a driver of adoption, efficiency, and growth.\nQualifications and Experience Deep expertise in instructional design, adult learning theory, and assessment, applied at a program or portfolio level.\nDemonstrated hands-on experience using generative AI tools (such as Claude, ChatGPT, Gemini, or similar) in real instructional design workflows, not just experimentation.\nExperience designing or implementing agentic workflows that automate meaningful parts of the content development or learner support lifecycle.\nStrong ability to connect learning programs to business outcomes and evaluate ROI with rigor.\nTrack record of improving scalability, efficiency, or innovation in learning programs through systems thinking.\nExcellent communication and stakeholder management skills, including the ability to present AI strategy and responsible use clearly to senior leaders.\nProven ability to mentor instructional designers on both craft and emerging technology.\nStrong program management skills: prioritization, risk management, and delivery in fast-moving environments.\nProficiency with LMS platforms, modern authoring tools, and AI-powered content development platforms.\nComfort operating in ambiguity and evolving practice as the technology landscape shifts.\nRelativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between $92,000 and $138,000. The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.\nRequired Skills Adult Learning Theory, Content Development, Curriculum Development, Instructional Design, Learning Management, Learning Management Systems (LMS), Learning Theory, Performance Improvements, Program Management, Training Delivery\n\n#J-18808-Ljbffr","company":"Relativity","rawCompany":"relativity","city":"St Paul","state":"MN","isRemote":false,"isActive":false,"createdAt":"2026-07-17T03:17:09.771Z","occupations":[{"code":"25-9031.00","title":"Instructional Coordinators","slug":"instructional-coordinators"},{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"},{"code":"11-3131.00","title":"Training and Development Managers","slug":"training-and-development-managers"}],"industries":[{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"},{"code":"611710","title":"Educational Support Services","slug":"educational-support-services"},{"code":"923110","title":"Administration of Education Programs","slug":"administration-of-education-programs"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Instructional Design Program Manager","description":"Overview The Instructional Design Program Manager is a senior practitioner who designs, scales, and continuously improves learning programs that drive customer adoption, accelerate time-to-value, and deliver measurable business impact. This role applies generative AI and agentic workflows as practical tools in how learning gets built, personalized, and improved—not just experimentation.\nJob Description and Requirements Program and Strategic Leadership Own one or more instructional design programs or portfolios from intake through measurement and iteration, treating them as living systems rather than project deliverables.\nTranslate business priorities into outcome-based learning strategies with clear roadmaps and defined success metrics tied to adoption, efficiency, and customer impact.\nUse AI-assisted data synthesis, learner signals, and performance analytics to make faster, better-informed trade-off recommendations across scope, timeline, and resources.\nIdentify and surface opportunities to expand program value through intelligent content reuse, automated personalization, and adaptive delivery.\nAI-Augmented Design and Systems Thinking Build learning programs with generative AI as a core component, applying LLM-assisted content development, automated localization, intelligent content refresh, and AI-driven quality review as standard practice.\nDesign and implement agentic workflows that reduce manual effort in content creation, SME review cycles, translation, accessibility remediation, and learner support.\nBuild modular, prompt-driven content systems where generative AI can extend, update, and personalize assets at scale without proportional human effort.\nEvaluate emerging AI tools, agents, and platforms and provide recommendations using a clear framework for responsible use, output quality, and bias mitigation.\nApply and uphold governance practices for AI-generated learning content, including review checkpoints, accuracy standards, and transparency with learners.\nInstructional Design Leadership Advance modern instructional design practice, including AI-assisted authoring, dynamic content models, and agent-supported learner experiences such as on-demand coaching, simulated practice, and intelligent job aids.\nEnsure all learning solutions are workflow-aligned, outcome-oriented, and designed for real customer contexts rather than generic skill coverage.\nApply and help evolve design standards that improve quality, efficiency, and reuse, and that are compatible with AI-assisted development pipelines.\nReview and provide input on high-impact learning solutions to ensure they are scalable, effective, and responsibly built.\nMentor instructional designers on prompt engineering, AI tool selection, responsible generation practices, and the evolving boundaries of human vs. AI authorship.\nExecution and Delivery Lead the shift from manual, course-based production to AI-assisted, modular, continuously evolving learning ecosystems within your program portfolio.\nUse agentic tools to automate repeatable tasks: content audits, gap analysis, metadata tagging, assessment generation, and personalization logic.\nImprove discoverability and learner experience through AI-powered content recommendations, adaptive learning paths, and conversational learning interfaces.\nPartner with subject matter experts using AI-assisted interview and synthesis workflows to accelerate knowledge capture without sacrificing depth or accuracy.\nUse learner behavior data, completion signals, and AI-generated insights to continuously refine programs.\nStakeholder Partnership and Influence Partner cross-functionally to align learning investment to business priorities, with a clear AI strategy narrative for senior audiences.\nProvide well-reasoned recommendations on what gets built, how it is delivered, and where AI can close gaps faster than traditional development.\nServe as a trusted voice on the responsible use of generative AI in learning, including what it can and cannot do well, and how to communicate that to stakeholders and learners.\nRepresent the Customer Education function as a driver of adoption, efficiency, and growth.\nQualifications and Experience Deep expertise in instructional design, adult learning theory, and assessment, applied at a program or portfolio level.\nDemonstrated hands-on experience using generative AI tools (such as Claude, ChatGPT, Gemini, or similar) in real instructional design workflows, not just experimentation.\nExperience designing or implementing agentic workflows that automate meaningful parts of the content development or learner support lifecycle.\nStrong ability to connect learning programs to business outcomes and evaluate ROI with rigor.\nTrack record of improving scalability, efficiency, or innovation in learning programs through systems thinking.\nExcellent communication and stakeholder management skills, including the ability to present AI strategy and responsible use clearly to senior leaders.\nProven ability to mentor instructional designers on both craft and emerging technology.\nStrong program management skills: prioritization, risk management, and delivery in fast-moving environments.\nProficiency with LMS platforms, modern authoring tools, and AI-powered content development platforms.\nComfort operating in ambiguity and evolving practice as the technology landscape shifts.\nRelativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between $92,000 and $138,000. The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.\nRequired Skills Adult Learning Theory, Content Development, Curriculum Development, Instructional Design, Learning Management, Learning Management Systems (LMS), Learning Theory, Performance Improvements, Program Management, Training Delivery\n\n#J-18808-Ljbffr","datePosted":"2026-07-17T03:17:09.771Z","dateModified":"2026-07-17T03:17:09.771Z","hiringOrganization":{"@type":"Organization","name":"Relativity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"St Paul","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a3cff738bfcb9e5247ad4e77"},"url":"https://jobsearcher.com/jobs/a3cff738bfcb9e5247ad4e77"}}