Senior AI Product Manager - Hybrid

Shape practical AI-powered Document Intelligence solutions through product strategy, technical evaluation, and evidence-based decision-making. FormativGroup partners with organizations to solve complex business and technology challenges through modern application, cloud, data, AI, and digital transformation solutions. As a Senior AI Product Manager, you will own product requirements, capabilities, and roadmaps for AI-powered solutions, including document processing and intelligence use cases, and assess emerging technologies and translate technical findings into actionable product decisions. This role is Hybrid in Phoenix, AZ, with onsite attendance required 2-3 days per week.

Responsibilities

Research emerging technologies and market trends across agentic AI, generative AI, LLMs, OCR, multimodal AI, document extraction, and retrieval; Define AI product strategy, capabilities, requirements, and roadmaps, including Document Intelligence use cases; Assess AI models, platforms, third-party tools, and open-source options, including build-versus-buy tradeoffs; Define evaluation criteria for accuracy, performance, scalability, reliability, latency, and cost; work with technical teams to scope PoCs, review benchmarks, and inform product decisions; Identify integration dependencies, technical risks, and production-readiness considerations; present findings, documentation, and recommendations to senior stakeholders; Partner with engineering, architecture, data science, and security teams to define evaluation criteria and guide PoC scope and priorities

Requirements

5+ years of experience in AI product management or technical product management, with demonstrated ownership of technical product requirements, priorities, and roadmaps; Strong working knowledge of generative AI, agentic AI, large language models (LLMs), and relevant capabilities such as multimodal models, OCR, document extraction, and retrieval-augmented generation (RAG); Understanding of AI agents, tool calling, orchestration, reasoning, and human-in-the-loop workflows; experience defining evaluation needs and using engineering-led experiments or PoC results to guide product decisions; Experience partnering with engineering, architecture, security, and data science teams to make technical product tradeoffs; strong analytical, documentation, and executive communication skills; Understanding of enterprise security, data privacy, responsible AI, governance, and scalable production systems; Applicants must be authorized to work for ANY employer in the U.S.

Nice to have

Product management experience with Document Intelligence, enterprise document processing, or intelligent document extraction solutions; Exposure to enterprise document-processing workflows and multimodal AI use cases; Experience comparing commercial AI services with open-source models and tooling

Benefits

Discretionary bonuses, commissions, or other incentive programs; Comprehensive benefits package including medical, dental, vision, 401(k), paid time off, etc.