Principal AI Product Manager

IFS is a billion-dollar revenue company with over 7000 employees, specializing in AI technology for enterprise software solutions. They are seeking a Principal AI Product Manager to define and drive the product strategy for AI-powered agents and intelligent workflows, collaborating with various teams to translate AI potential into business outcomes.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

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
• Strong understanding of retrieval-augmented generation
• Strong understanding of evaluation methodologies (offline/online testing)
• Strong understanding of 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