What you’ll be doing…
As a Learning Experience Management - Sr Mgr, you will serve as the technical authority and enterprise architect driving the long-term vision, strategy, and execution of Verizon’s Learning Agent technology ecosystem and Digital Front Door platform. Functioning as a high-impact individual contributor, you will bridge executive strategy with deep technical execution across AI engineering, design systems, and enterprise knowledge infrastructure.This role demands executive-level technical leadership and autonomy in establishing architectural guardrails, pioneering RAG-optimized vector pipeline strategies, setting standards for automated intake automation, and defining multi-variable AI evaluation frameworks to transform enterprise-wide digital learning experiences.
Additional responsibilities include:
- Architecting and setting enterprise-wide technical benchmarks for multi-agent AI ecosystems (chatbots, adaptive cognitive agents, dynamic interfaces), establishing rigorous Human-in-the-Loop (HITL) safety, accuracy, and performance guardrails.
- Leading the strategic vision for RAG-ready enterprise knowledge bases, vector indexing, and metadata taxonomy standards, ensuring seamless real-time context retrieval for AI models while eliminating latency and knowledge decay.
- Designing enterprise telemetry architectures, observability models, and automated feedback loops to proactively identify and mitigate LLM drift, hallucination patterns, and complex API pipeline degradation across digital ecosystems.
- Spearheading the technological roadmap for the Digital Learning Center platform UX/UI and intake automation, driving advanced prompt engineering patterns, webhook integrations, and scalable microservices architectures.
- Defining high-level analytics frameworks and machine learning metric models (evaluating complex user pathways, skill resolution velocity, ROI, and organizational behavior change) to advise senior leadership on technology investments.
- Providing technical leadership across multi-disciplinary agile squads, partnering with executive sponsors, AI research teams, and product engineering to pioneer next-generation learning technology capabilities.
In this remote role, you'll work from home with occasional in-person trainings and meetings.
What we’re looking for…
You’ll need to have:
- Bachelor's degree or four or more years of work experience.
- Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
- Current HR and/or Learning & Development experience.
- Experience in learning intake, funnel management and/or learning operations.
- Willingness to travel up to approximately 25% of the time.
Even better if you have one or more of the following:
- Six or more years of relevant industry experience with a proven track record in AI/LLM evaluation, enterprise system architecture, or technical learning operations consulting.
- Demonstrated experience establishing enterprise data governance, telemetry modeling, and technical vision for large-scale AI or digital product ecosystems.
- Proven ability to lead technical strategy, influence executive stakeholders, and set architectural standards without direct authority in a matrixed organization.
- Experience authoring technical whitepapers, architectural blueprints, adaptive learning, or real-time data evaluation.
- Advanced knowledge of enterprise system design and continuous deployment for LLM-driven application frameworks.
- Proficiency writing performant JavaScript/Apps Script, specifically utilizing batching practices rather than high-latency individual calls.
- Proficiency writing performant JavaScript/Apps Script, specifically utilizing batching practices (getValues/setValues) rather than high-latency individual calls.
- Experience integrating external REST APIs via UrlFetchApp and managing authentication headers (OAuth2, Bearer tokens).
- Practical understanding of GAS constraints, including execution limits (6-minute runtime cap), quota limits, and trigger handling (onEdit, time-driven triggers).
- Familiarity with local Apps Script deployment using clasp and Git for version control is a plus.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
In this remote role, you'll work from home with occasional in-person trainings and meetings.
Scheduled Weekly Hours40
Benefits and CompensationOur benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $101,500.00 - $194,000.00.
The annual salary range for the Colorado location(s) listed on this job requisition based on a full-time schedule is: $101,500.00 - $177,000.00.
