84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
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AI is fundamentally changing how work gets done. As AI capabilities evolve faster than traditional learning models can adapt, Kroger is investing in new ways to help associates build skills, apply emerging technologies, and continuously learn in an AI-enabled workplace.
The Lead AI Learning Manager is responsible for leading the strategy, execution, and ongoing operations of enterprise AI and technical education at scale. This role blends product management, program leadership, and learning expertise to build measurable, high-impact learning experiences that accelerate AI adoption, productivity, and responsible use.
Operating with the rigor of a product organization, this role owns learning roadmaps, delivery rhythms, stakeholder alignment, and outcomes. A successful candidate is expected to independently lead complex, cross‑functional initiatives, translate strategy into execution, and influence senior stakeholders without formal authority. The role balances strategic thinking with hands‑on delivery and team leadership.
This role is ideal for someone who is energized by continuous change, passionate about emerging technology, and excited to help shape the future of learning in an AI-enabled enterprise
KEY RESPONSIBILITIESAI Learning Strategy & Portfolio Ownership- set direction, prioritization, and long-term value of AI learning as a product.
- Execute the AI learning strategy and program plan aligned to enterprise AI priorities and workforce needs
- Operate AI learning as a product portfolio, including vision, roadmaps, backlogs, prioritization, and lifecycle management
- Define and track success metrics such as literacy, engagement, adoption, and applied impact
- Establish learning pathways that support associates throughout their AI capability journey, from foundational literacy through advanced application
AI-Native Learning Design & Innovation- Redefine how learning is designed, delivered, and experienced in the age of AI.
- Design and scale AI-native learning experiences that leverage personalization, coaching, simulation, practice, and emerging technologies to accelerate skill development
- Explore and implement innovative approaches that make learning more adaptive, contextual, and embedded within the flow of work.
- Identify opportunities to apply AI across content development, learning operations, learner support, measurement, and program administration
- Evaluate emerging learning technologies and AI capabilities to improve learner experience and organizational outcomes
Cross-Functional Alignment & Enterprise Partnerships- Influence, coordinate, and integrate across a matrixed organization.
- Navigate and influence across matrixed org of Technology, Corporate, and Frontline learning to deliver a cohesive AI education plan grounded in needs analysis, personas, and learning experiences
- Partner with Functional, HR, Change Management, and Business leaders to ensure learning is practical, applied, and aligned to real tools and workflows
- Partner with the broader Enterprise AI Enablement organization to translate tools, responsible usage, and domain needs into learning programs
Program Delivery, Planning & Continuous Improvement- Bring executional rigor and operational excellence.
- Lead quarterly planning, delivery rhythms, retrospectives, and continuous improvement for AI learning initiatives
- Communicate progress, insights, and outcomes clearly to senior stakeholders
- Develop scalable governance and operating models that ensure quality, consistency, and responsiveness to change
Platform, Vendor & Content Management- Consider scale, quality, and ecosystem management.
- Own vendor relationships, learning platforms, and content strategy to ensure scale and quality
- Integrate platform, content and broader vendor decisions into the enterprise AI platform strategy, balancing need to accommodate rapid change and foundational durable concepts.
- Partner with AI Enablement leadership on optimal use of budget across platform and content providers.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
REQUIRED QUALIFICATIONS- 7+ years of experience in program management, product management, learning & development, or technical enablement.
- Demonstrated experience leading complex, cross‑functional initiatives in ambiguous environments.
- Strong understanding of modern product and agile practices.
Excellent stakeholder management, communication, and influencing skills. - Demonstrated curiosity, experimentation mindset, and passion for emerging technologies
- Ability to translate complex technical innovations into practical, business-relevant capability-building strategies
- Experience building or scaling enterprise AI, data, digital, or technical learning programs
- Experience leading workforce transformation initiatives enabled by AI or emerging technologies
- Experience applying AI tools to redesign workflows, learning experiences, or operational processes
- Familiarity with skills-based talent and learning models
- Experience with learning platforms, learning analytics, and capability measurement frameworks
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Pay Transparency and Benefits
- The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
- Below is a list of some of the benefits we offer our associates:
- Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.
Skills Required
- 7+ years of experience in program management, product management, learning & development, or technical enablement.
- Demonstrated experience leading complex, cross‑functional initiatives in ambiguous environments.
- Strong understanding of modern product and agile practices.
- Excellent stakeholder management, communication, and influencing skills.
- Demonstrated curiosity, experimentation mindset, and passion for emerging technologies.
- Ability to translate complex technical innovations into practical, business-relevant capability-building strategies.
- Work authorization that does not require sponsorship now or in the future (no H-1B, F-1 OPT, TN, or other non-immigrant visa sponsorship).
- Experience building or scaling enterprise AI, data, digital, or technical learning programs.
- Experience leading workforce transformation initiatives enabled by AI or emerging technologies.
- Experience applying AI tools to redesign workflows, learning experiences, or operational processes.
- Familiarity with skills-based talent and learning models.
- Experience with learning platforms, learning analytics, and capability measurement frameworks.
84.51° Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about 84.51° and has not been reviewed or approved by 84.51°.
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Leave & Time Off Breadth — Time off is described as generous from day one, with substantial vacation alongside wellness/floating days and company holidays. This breadth of leave is treated as a standout element of the package.
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Retirement Support — The package includes a 401(k) with a matching contribution and an HSA match for eligible plans. These features are positioned as solid components that enhance overall compensation value.
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Parental & Family Support — Paid parental leave covers birth and adoption with support for both birthing and non‑birthing parents. This complements core health coverage and reinforces a family‑friendly offering.
84.51° Insights
What We Do
At 84.51° we use sophisticated tools, technology and data analytics to help retail partners develop, nurture and embrace customer-driven relationships. 84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail advertising solution, Kroger Precision Marketing.
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