Staff AI Product Solutions Manager

This is a fully remote position, open to applicants in Wisconsin.

📋 Description

• Collaborate with business and technology leaders to recognize, evaluate, and prioritize AI opportunities based on their business value, feasibility, risk, and organizational preparedness.

• Define AI use cases, desired outcomes, success metrics, user requirements, and considerations for the adoption of enterprise AI capabilities.

• Lead the discovery and rapid experimentation phase utilizing synthetic user personas and simulation environments to validate user value, model performance, technical feasibility, and cost-to-serve.

• Oversee build-versus-buy evaluations for AI capabilities, platforms, open-weight models, commercial foundational models, in-house Small Language Models, and vendor solutions.

• Set the product vision for probabilistic and agentic experiences, including guardrails, human-in-the-loop workflows, escalation procedures, and acceptable performance thresholds.

• Create natural-language context specifications and agent playbooks; manage probabilistic tolerances for multi-agent systems and workflows.

• Convert validated AI solutions into capability briefs, reusable patterns, and implementation guidelines.

• Collaborate with delivery, change management, and business teams to formulate adoption strategies and integrate AI capabilities into workflows.

• Define and track value, quality, risk, and cost metrics, such as compute unit economics, token costs, model accuracy, and latency.

• Advise on whether to scale, refine, pause, or discontinue AI solutions based on performance metrics.

• Articulate complex AI concepts, trade-offs, recommendations, and results to executive and cross-functional stakeholders.

• Offer thought leadership on emerging AI capabilities, practices, and responsible enterprise adoption.

• Execute additional assigned tasks.

⛳️ Requirements

• Bachelor's degree in Business, Technology, Data/Analytics, Computer Science, or a related field; equivalent experience will be considered.

• Over 7 years of experience in product strategy, managing multiple product portfolios, digital transformation, technology, or related fields.

• More than 3 years of experience leading AI, machine learning, data platform, or other complex technology initiatives.

• Proven experience taking AI or technology opportunities from discovery through implementation and measurement.

• Familiarity with contemporary AI concepts, including Large Language Models (LLMs), retrieval-augmented generation (RAG), model evaluation, and non-deterministic systems.

• Experience in evaluating value, feasibility, risk, and investment trade-offs among cross-functional partners.

• Proficient in using business, product, operational, or financial metrics to inform decisions.

• Advanced degree, certification, or training in a relevant business or technical field is preferred.

• Experience with AI vendor assessment and build-versus-buy evaluations is preferred.

• Knowledge of AI architecture and tools, such as vector databases, agent orchestration, Model Context Protocol (MCP), and tool-calling interfaces, is preferred.

• Experience in a centralized AI, hub-and-spoke, or center-of-excellence model is preferred.

• Background in managing AI platform, compute, inference, or vendor costs is preferred.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible work arrangements.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.