Senior AI Product Manager - Hybrid

FormativGroup • Phoenix, AZ

7d • $50 - $55 • Hybrid

About The Position

FormativGroup is seeking a Senior AI Product Manager to own product requirements, capabilities, and roadmaps for AI-powered solutions, including document processing and intelligence use cases. The role combines product strategy, technical evaluation, and evidence-based decision-making, translating assessments of emerging technologies into actionable product recommendations.

The Senior AI Product Manager will work with engineering, architecture, data science, and security teams to establish evaluation criteria, guide the scope and priorities of proofs of concept (PoCs), review results, and identify considerations for enterprise adoption. Engineering and technical teams will execute PoCs and experiments. The role also involves communicating recommendations and technical tradeoffs to senior stakeholders.

This is a hybrid role in Phoenix, Arizona, requiring onsite attendance 2–3 days per week. Applicants must be authorized to work for any employer in the United States; visa sponsorship is not available. The estimated hourly compensation range is $50–$55. Employees may also be eligible for discretionary bonuses, commissions, or other incentives, and a benefits package that includes 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 (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.
• Ability to balance product vision with practical technical evaluation and clear, evidence-based recommendations.
• Ability to navigate ambiguity, evolving AI technologies, and changing priorities while keeping stakeholders aligned.
• Ability to communicate technical tradeoffs clearly and collaborate across product and engineering disciplines.
• Authorization to work for any employer in the United States; the company cannot sponsor or take over sponsorship of an employment visa.

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, large language models (LLMs), OCR, multimodal AI, document extraction, and retrieval.
• Define AI product strategy, capabilities, requirements, and roadmaps, including Document Intelligence use cases, aligned to 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 proofs of concept, review benchmarks, and inform product decisions.
• Identify integration dependencies, technical risks, and production-readiness considerations.
• Present findings, documentation, and recommendations to senior stakeholders.
• Establish priority AI use cases, product requirements, decision criteria, and a practical roadmap.
• Align engineering and technical partners on focused proofs of concept, evaluation metrics, and review of benchmark findings.
• 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
• Employees may be eligible for discretionary bonuses, commissions, or other incentive programs

What This Job Offers

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