Document Intelligence AI Manager

Job Description

Job Description – Document Intelligence AI Product Manager

Location: Phoenix AZ Onsite

Must Have8 Years of Experience.

Rate $60/hr on w2

Job Summary

We are looking for a Document Intelligence AI Product Manager / Strategist with strong experience in Document AI, Intelligent Document Processing (IDP), and AI-driven product strategy. The candidate will research emerging market capabilities, evaluate competing technologies, conduct lightweight POCs, and provide strategic recommendations to product and engineering teams.

Key Responsibilities

• Research market trends, emerging AI technologies, vendors, and industry capabilities in Document Intelligence.
• Evaluate capabilities across document understanding, classification, extraction, complex documents, and package documents.
• Assess competing solutions and platforms such as Google, Microsoft, and other Document AI vendors.
• Develop product strategies and recommendations based on market research and technology evaluations.
• Conduct lightweight POCs using available tools, open-source technologies, vendor trials, and basic Python scripting in notebooks.
• Test and compare technology capabilities, analyze results, and identify potential product improvements.
• Define success metrics, document findings, and present evidence-based recommendations.
• Evaluate capabilities related to Digital Auditor, language translation, and other Document Intelligence products.
• Collaborate with product, engineering, and senior leadership teams to translate findings into actionable product direction.
• Continuously monitor AI advancements and recommend opportunities for product innovation.

Required Skills

• Strong experience in Document AI, Document Intelligence, or Intelligent Document Processing (IDP).
• Knowledge of document classification, extraction, understanding, and complex document processing.
• Experience with AI product strategy, market research, competitive analysis, and technology evaluation.
• Hands-on ability to conduct lightweight POCs and test AI tools/platforms.
• Basic Python programming and experience working with Jupyter notebooks.
• Ability to compare AI solutions and translate technical findings into business recommendations.
• Strong analytical, problem-solving, presentation, and documentation skills.
• Excellent communication skills with the ability to engage product teams, engineering, and senior leadership.

Ideal Candidate

A combination of Document AI domain expertise, product strategy, market research, and hands-on technical evaluation . This is not a full-time engineering role; the focus is on evaluating emerging technologies, conducting lightweight POCs, and recommending the right product direction.

“We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law.