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EXL is seeking an AI Product Manager – Agentic AI & Data Intelligence to lead the strategy, evaluation, and development of next-generation AI products that combine autonomous AI agents, enterprise data, and intelligent workflows.
The Product Manager will identify emerging technologies, define product capabilities and roadmaps, evaluate third‑party and open‑source solutions, and work hands‑on with engineering and data teams to prototype and validate new AI capabilities.
Work Location: Arizona, United States
Work Mode : onsite
Pay Range :$100K-$140K /Yr Base + Annual Bonus
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
We are seeking an AI Product Manager – Agentic AI & Data Intelligence to lead the strategy, evaluation, and development of next-generation AI products that combine autonomous AI agents, enterprise data, and intelligent workflows. This role sits at the intersection of Agentic AI, Generative AI, data platforms, product strategy, and engineering. The Product Manager will identify emerging technologies, define product capabilities and roadmaps, evaluate third‑party and open‑source solutions, and work hands‑on with engineering and data teams to prototype and validate new AI capabilities. The ideal candidate combines strong technical depth with strategic product leadership and can translate rapidly evolving AI technologies into secure, scalable, measurable enterprise products.