Principal AI Product Manager

IFS•Itasca, IL

1h•$175,000 - $190,000•Hybrid

About The Position

We are seeking a Principal AI Product Manager to define and drive the long-term product strategy for AI-powered agents and intelligent workflows across IFS Nexus Black. This role operates at company-wide scope. You will shape the AI product vision, define platform strategy, prioritize high-impact investments, and ensure that AI capabilities become a durable competitive advantage. You will partner deeply with engineering, data science, design, sales, and executive leadership to translate AI potential into measurable business outcomes. You are equally comfortable discussing model evaluation frameworks, monetization strategy, and enterprise adoption barriers.

Requirements

10+ years in product management, with significant experience in AI/ML-driven products.
Track record of leading 0→1 and 1→scale AI products.
Experience defining platform strategy across multiple product lines.
Demonstrated impact at company or portfolio level.
Strong understanding of: LLMs and agent systems, Retrieval-augmented generation, Evaluation methodologies (offline/online testing), Model tradeoffs (cost, latency, quality)
Ability to engage deeply with engineering on architecture and tradeoffs.
Proven executive influence and strategic thinking.
Experience owning revenue-impacting product lines.
Strong commercial acumen and enterprise pricing strategy experience.
Ability to operate at ambiguity and define structure for others.

Responsibilities

Define AI Product Strategy: Own the multi-year roadmap for AI agents, orchestration systems, and AI-enabled workflows. Identify platform-level opportunities across verticals and prioritize investments. Define product principles for responsible, scalable, enterprise-grade AI. Partner with executive leadership to align AI strategy with company goals.
Lead AI Platform & Capability Development: Define core AI capabilities (retrieval, agent frameworks, evaluation systems, safety layers) as reusable platform primitives. Balance experimentation velocity with enterprise reliability and compliance. Establish success metrics for AI quality, safety, adoption, and ROI. Guide build-vs-buy decisions for models, infrastructure, and tooling.
Translate AI Potential into Market Impact: Identify cross-industry AI use cases with scalable product potential. Develop monetization and packaging strategies for AI features. Partner with GTM teams to define positioning and competitive differentiation. Drive enterprise adoption and value realization.
Drive Cross-Functional Execution: Lead cross-functional initiatives spanning engineering, data, design, and sales. Ensure product discovery, experimentation, and validation are structured and measurable. Oversee product lifecycle from concept to scaled deployment. Set standards for AI experimentation, evaluation, and iteration.
Elevate Product Discipline Across the Organization: Mentor senior PMs and establish AI product best practices. Introduce frameworks for evaluating AI product opportunities. Shape hiring and team structure for AI product capability. Act as a thought partner to Principal Engineers and AI leadership.