Senior Product Manager

Senior AI Product Manager (Document Intelligence) or (Agentic AI & Data Intelligence) Position #1: Senior AI Product Manager Document Intelligence Duration: 2 months+ contract Location: Phoenix, AZ - Hybrid 2 or 3 days in the office every week and the first week onsite. Job Description: We are seeking a Senior AI Product Manager to drive product strategy, research, evaluation, and roadmap development for AI-powered Document Intelligence capabilities. The ideal candidate will combine technical product management expertise with hands-on experience evaluating AI technologies, conducting proof of concepts (PoCs), and translating research findings into actionable product recommendations. Key Responsibilities: Research emerging technologies in Document Intelligence, Generative AI, Agentic AI, multimodal AI, OCR, document understanding, extraction, classification, and retrieval.Evaluate third-party tools, open-source technologies, foundation models, and cloud-native AI services.Define product strategies, technical requirements, roadmaps, APIs, integration patterns, and success metrics.Develop evaluation frameworks and benchmarks for AI models and document processing solutions.Design and execute experiments to measure accuracy, extraction quality, latency, scalability, reliability, and cost.Collaborate with engineering, architecture, data science, and AI/ML teams to develop PoCs and prototypes.Evaluate build-vs-buy-vs-partner opportunities and identify technical risks and production-readiness considerations.Prepare technical assessments, benchmarking reports, product recommendations, and executive-level presentations. Required Qualifications: Significant experience in AI or technical product management, preferably in Document Intelligence.Strong knowledge of Generative AI, LLMs, Agentic AI, multimodal models, OCR, information extraction, and RAG.Understanding of tool calling, planning, reasoning, orchestration, memory, context management, and human-in-the-loop workflows.Experience defining technical product requirements and collaborating with engineering, architecture, security, and data science teams.Experience with AI evaluation methodologies, benchmarking, ground-truth datasets, accuracy metrics, and latency/cost analysis.Understanding of enterprise security, privacy, responsible AI, governance, scalability, and observability.Excellent analytical, documentation, communication, and stakeholder management skills.Position #2: Senior AI Product Manager Agentic AI & Data Intelligence Duration: 2 months+ contract Location: Phoenix, AZ - Hybrid 2 or 3 days in the office every week and the first week onsite. Job Description: We are seeking a Senior AI Product Manager to lead product strategy, evaluation, and development for next-generation Agentic AI and Data Intelligence products. This role focuses on autonomous AI agents, enterprise data, intelligent workflows, and AI-powered platforms. The ideal candidate will have strong technical expertise and product leadership skills, with experience evaluating emerging technologies and translating them into secure, scalable enterprise solutions. Key Responsibilities: Define product strategies and roadmaps for Agentic AI and Data Intelligence products and platforms.Research AI agents, multi-agent systems, LLMs, reasoning models, tool use, workflow orchestration, enterprise search, and knowledge systems.Identify opportunities to automate workflows, improve decision-making, and enhance interactions with enterprise data.Define technical product requirements, APIs, integration patterns, success metrics, and non-functional requirements.Collaborate with engineering, architecture, data science, data engineering, security, and business teams.Define reusable platform capabilities for agent orchestration, tool integration, context management, memory, data access, and human-in-the-loop workflows.Evaluate build-vs-buy-vs-partner opportunities for AI and data technologies.Develop capabilities involving structured and unstructured data, semantic search, metadata, RAG, vector search, and natural-language data interaction.Support PoCs and prototypes involving AI agents, APIs, enterprise data sources, and automated workflows.Establish evaluation frameworks to measure task completion, accuracy, reasoning quality, latency, cost, reliability, security, and user experience.Partner with risk, security, privacy, and governance teams to establish appropriate controls for AI systems.Prepare technical assessments, benchmarking reports, architecture recommendations, and executive-level presentations. Required Qualifications: Significant experience in AI product management, data platform product management, or related technical roles.Strong understanding of Generative AI, LLMs, Agentic AI architectures, RAG, enterprise search, APIs, and modern data platforms.Experience with structured and unstructured enterprise data, metadata, search, retrieval, and analytics platforms.Technical fluency with REST APIs, JSON, Python or similar scripting languages, cloud platforms, and AI/ML services.Understanding of agent concepts, including tool/function calling, planning, reasoning, orchestration, memory, and context management.Experience developing AI agents, copilots, intelligent workflow automation, or AI-powered data products.Familiarity with agent development frameworks, orchestration frameworks, and interoperability standards such as MCP.Knowledge of vector databases, knowledge graphs, semantic layers, embedding models, enterprise search, and data catalogs.Experience evaluating LLMs and agentic systems through PoCs, benchmarking, and automated or human evaluation.Understanding of enterprise AI governance, data governance, security, privacy, identity/access management, and observability.Strong communication, analytical, documentation, and stakeholder management skills. Best Regards, David Roy | Accounts Manager US Staffing | Charter Global Inc. | https://www.charterglobal.com LinkedIn