AI Product Manager

We are seeking an AI Product Manager – Agentic AI & Data Intelligence to lead strategy, evaluation, and development of next‑generation AI products that combine autonomous agents, enterprise data, and intelligent workflows. This role blends product strategy with deep 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 closely with engineering and data teams to prototype and validate new AI capabilities. The ideal candidate can translate rapidly evolving AI advancements into secure, scalable, and measurable enterprise products.

Key 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 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 PoCs 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 clear technical assessments, product requirements, and executive‑ready recommendations.

Qualifications

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/unstructured data, metadata, search, retrieval, and analytics platforms.

Technical fluency with APIs, JSON, Python, cloud platforms, and AI/ML services.

Proven ability to collaborate with engineering, architecture, and data teams.

Experience with PoCs, experimentation, benchmarking, and evaluating emerging technologies.

Strong communication skills for translating complex AI and data concepts into clear product and executive guidance.