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.