Jobs / United States / 84.51 LLC
Lead Product Manager - APPLIED AI (P4560)
84.51 LLC · 🇺🇸 Cincinnati, OH; Chicago, IL
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 16 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What 84.51 LLC paid sponsored hires in similar roles3 certified filings for “Lead AI/ML Engineer” (Software Developers) in IL: $153k–$207k, median $200k. Most were filed at wage level IV (67%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — 84.51 LLC
The US Department of Labor certified 15 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 16 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for 84.51 LLC →
About the role
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°! __________________________________________________________ We’re looking for a strategic, collaborative, and delivery-minded Applied AI Lead to help bring AI to life across Kroger, KTD and 84.51°. This role sits at the intersection of AI capability development and business impact , focused on driving AI adoption and application, from consultation to co-development . You’ll lead prototyping efforts, drive tangible use case delivery, and serve as a champion for scaling AI Enablement tools and services. This is a high-visibility, high-impact role that requires someone who can connect technical potential with business value — and deliver quickly. 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). RESPONSIBILITIES : The ideal candidate will be responsible for bridging the gap between cutting-edge, foundational AI technologies and Kroger, KTD, and 84.51° business strategies. This individual will play a crucial role in understanding business needs, users’ problems and tying them back to the Kroger AI Enablement technical roadmap. This role will ensure AI initiatives and priorities are aligned with business vertical objectives to drive innovation and efficiency. They will help to drive adoption of AI capabilities across the business by being the conduit between the technical teams and the business. Responsibilities include: • Partner with business and product teams to identify, co-develop, and validate high-impact use cases • Lead Applied AI MVP and prototype delivery in close collaboration with data scientists, engineers, and UX • Drive adoption of AI Enablement capabilities, GenAI productivity tools, and reusable components across business teams • Champion responsible, explainable, and user-centered AI in all applied solutions • Lead Super Agent (orchestration) strategy and implementation for Customer-facing and Supplier-facing experiences • Serve as AI representative/lead on high-value, end-to-end initiatives, in a ‘tiger team’ capacity • Own AI Spoke Lead network (AI advocates named on each business team) through monthly meetings, regular Teams communications, and ongoing check-ins; enable AI Spoke Leads to lead AI consults on their own teams and surface high-priority opportunities to our team • Facilitate and scale AI opportunities through AI ideation workshop sessions • Track ongoing business value of AI use cases • Own core product management responsibilities, including OKRs, roadmaps, planning cycles, and day‑to‑day execution in Jira Cross-Functional Collaboration • Domain Product & Business Teams: Co-develop use cases, drive adoption, embed AI where it matters • AI Enablement Team: Shape scalable services, relay feedback, align tooling with real needs • Data Science & Engineering: Translate opportunity into prototypes and working solutions • Vendors/Partners: Guide