AI Product Manager – Agentic AI & Data Intelligence

Staffworxs • Phoenix, AZ

1d • Onsite

About The Position

Staffworxs is seeking an AI Product Manager to lead strategy, evaluation, and development of AI products combining autonomous agents, enterprise data, and intelligent workflows. The role blends product strategy with technical understanding of Agentic AI, Generative AI, LLMs, and modern data platforms. The Product Manager will research emerging technologies, define product capabilities and roadmaps, evaluate third-party and open-source solutions, and work with engineering and data teams to prototype and validate AI capabilities. The role focuses on translating evolving AI advancements into secure, scalable, and measurable enterprise products.

The position is based onsite in Phoenix, Arizona, and is a 12-month contract.

Requirements

• 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, and modern data platforms.
• Knowledge of agent concepts such as tool calling, planning, reasoning, orchestration, memory, and human-in-the-loop patterns.
• Experience working with structured and unstructured data, metadata, search, retrieval, and analytics platforms.
• Technical fluency with APIs, JSON, Python, cloud platforms, and AI/ML services.
• Ability to collaborate with engineering, architecture, and data teams.
• Experience with proofs of concept, experimentation, benchmarking, and evaluating emerging technologies.
• Strong communication skills to translate complex AI and data concepts into clear product and executive guidance.

Responsibilities

• Shape product strategy and roadmaps for Agentic AI and Data Intelligence platforms.
• Research emerging technologies across AI agents, multi-agent systems, LLMs, reasoning models, workflow orchestration, enterprise search, and data intelligence.
• Identify high-value use cases where AI agents can automate workflows, enhance decision-making, and improve enterprise data interaction.
• Define technical requirements, APIs, integration patterns, success metrics, and non-functional needs.
• Partner with engineering, architecture, data science, and security teams to move concepts from research to production.
• Support proofs of concept and prototypes involving agent workflows, tool calling, enterprise data sources, and automated processes.
• Evaluate agent performance across accuracy, reasoning quality, latency, cost, reliability, and security.
• Produce technical assessments, product requirements, and executive-ready recommendations.

What This Job Offers

• Education Level: No Education Listed