Staff AI Product Solutions Manager

🔥 6 minutes ago

🧀 Wisconsin – Remote

🧀 Wisconsin – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kohl's

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

🛒 Retail

🛍️ eCommerce

👥 B2C

💰 $360M Post-IPO Debt - Kohl’s on 2025-05

Retail • eCommerce • B2C

Kohl's is a large U. S. omnichannel department store chain that operates nationwide brick-and-mortar stores and an online shopping platform, selling apparel, home goods, beauty products (including a Sephora at Kohl’s partnership), and other general merchandise. The company emphasizes customer-first retailing, inclusive workplace culture, and operates support functions such as distribution centers, credit and call centers, and design and corporate offices.

📋 Description

• Partner with business and technology leaders to identify, assess, and prioritize AI opportunities based on business value, feasibility, risk, and organizational readiness • Define AI use cases, target outcomes, success measures, user needs, and adoption considerations for enterprise AI capabilities • Lead discovery and rapid experimentation using synthetic user personas and simulation environments to validate user value, model performance, technical feasibility, and cost-to-serve • Drive build-versus-buy assessments for AI capabilities, platforms, open-weights models, commercial foundation models, in-house Small Language Models, and vendor solutions • Establish product direction for probabilistic and agentic experiences, including guardrails, human-in-the-loop workflows, escalation paths, and acceptable performance thresholds • Author natural-language context specifications and agent playbooks; manage probabilistic tolerances for multi-agent systems and workflows • Translate validated AI solutions into capability briefs, reusable patterns, and implementation guidance • Partner with delivery, change management, and business teams to develop adoption plans and embed AI capabilities into workflows • Define and monitor value, quality, risk, and cost metrics, including compute unit economics, token costs, model accuracy, and latency • Recommend whether to scale, refine, pause, or retire AI solutions based on metrics • Communicate complex AI concepts, tradeoffs, recommendations, and outcomes to executive and cross-functional stakeholders • Provide thought leadership on emerging AI capabilities, practices, and responsible enterprise adoption • Perform additional assigned tasks

🎯 Requirements

• Bachelor’s degree in Business, Technology, Data/Analytics, Computer Science, or related field; equivalent experience considered • 7+ years of experience in product strategy, managing concurrent product portfolios, digital transformation, technology, or related work • 3+ years leading AI, machine learning, data platform, or other complex technology initiatives • Experience taking AI or technology opportunities from discovery through implementation and measurement • Knowledge of modern AI concepts, including Large Language Models (LLMs), retrieval-augmented generation (RAG), model evaluation, and non-deterministic systems • Experience assessing value, feasibility, risk, and investment tradeoffs across cross-functional partners • Experience using business, product, operational, or financial metrics to guide decisions • Advanced degree, certification, or training in a relevant business or technical discipline (preferred) • Experience with AI vendor evaluation and build-versus-buy decisions (preferred) • Familiarity with AI architecture and tooling, such as vector databases, agent orchestration, Model Context Protocol (MCP), and tool-calling interfaces (preferred) • Experience in a centralized AI, hub-and-spoke, or center-of-excellence model (preferred) • Experience managing AI platform, compute, inference, or vendor costs (preferred)