Senior AI Product Manager - Hybrid

FormativGroup • Phoenix, AZ

6d • Hybrid

About The Position

The Senior AI Product Manager will shape practical AI-powered Document Intelligence solutions through product strategy, technical evaluation, and evidence-based decision-making. The role owns product requirements, capabilities, and roadmaps for AI-powered solutions, including document processing and intelligence use cases, and translates technical findings into actionable product decisions. The manager partners with engineering, architecture, data science, and security teams to define evaluation criteria, guide the scope and priorities of proofs of concept (PoCs), review results, and identify considerations for enterprise adoption. Engineering and technical teams execute the PoCs and experiments.

The position involves researching emerging technologies and market trends across agentic AI, generative AI, large language models, OCR, multimodal AI, document extraction, and retrieval. It includes assessing AI models, platforms, third-party tools, and open-source options, including build-versus-buy tradeoffs, and making recommendations that account for feasibility, quality, performance, cost, and risk.

This is a hybrid role in Phoenix, Arizona, with onsite attendance required 2–3 days per week. Applicants must be authorized to work for any U.S. employer; the company cannot sponsor or take over sponsorship of an employment visa now or in the future. The estimated hourly compensation range is $50–$55. Employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as medical, dental, vision, 401(k), and paid time off.

Requirements

• At least 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, 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.
• Able to balance product vision with practical technical evaluation and clear, evidence-based recommendations.
• Able to navigate ambiguity, rapidly evolving AI technologies, and changing priorities while keeping stakeholders aligned.
• Able to communicate technical tradeoffs clearly and collaborate across product and engineering disciplines.
• Must be authorized to work for any employer in the U.S.

Nice To Haves

• 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.

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, aligned with business and technical needs.
• 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; engineering and technical teams execute the PoCs and experiments.
• Identify integration dependencies, technical risks, and production-readiness considerations.
• Present findings, documentation, and recommendations to senior stakeholders.
• Align engineering and technical partners on focused PoCs, evaluation metrics, and benchmark reviews.
• Deliver prioritized product recommendations that account for feasibility, quality, performance, cost, and risk.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k)
• Paid time off
• Potential eligibility for discretionary bonuses, commissions, or other incentive programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed