Staff AI Product Solutions Manager

Job not on LinkedIn

🕒 October 13

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

Where this job comes from

Posted on Kohls Construction's careers page, not through a job board

First seen by Remote Rocketship October 13

Logo of Kohls Construction

Kohls Construction

11 - 50 employees

🏗️ Construction

🌾 Agriculture

Construction • Agriculture

Kohls Construction is a company whose name indicates it operates in the construction sector. The company's LinkedIn industry is listed as Farming, suggesting its work may be focused on agricultural or farm-related construction, site development, or infrastructure services for agricultural clients. Public information is limited from the supplied data, so this description is conservative and based on the company name plus the LinkedIn industry tag.

📋 Description

• Identify, shape, and advance domain and enterprise AI opportunities that deliver measurable business value for Kohl’s • Partner with technology, architecture, business, risk, delivery, change management, and other cross-functional teams • 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 • Lead discovery and rapid experimentation using synthetic user personas and simulation environments • Validate user value, model performance, technical feasibility, and cost-to-serve before investment or scale • Drive build-versus-buy assessments for AI capabilities, platforms, models, and vendor solutions • Establish product direction for probabilistic and agentic experiences, including guardrails and human-in-the-loop workflows • 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 • Develop adoption plans and ensure AI capabilities are embedded 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 • Communicate 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 • Preferred: 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 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 • Ability to perform essential job functions, comply with company policies, maintain attendance, use a personal computer, plan and prioritize activities, and complete assigned projects

🏖️ Benefits

• Remote work arrangement • Company training programs • Reasonable accommodations for individuals with disabilities

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