AI Product Manager – GenAI & Agentic AI Products | New York Hybrid | Visa + Salary Insights

📍 Location: us

🏷 Type: Full-time

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Job Overview

This role at American Express Digital Labs focuses on building next-generation AI-powered customer experiences using Generative AI and agentic workflows. The ideal candidate is a technically fluent product manager who can bridge business strategy, machine learning systems, and user experience design. You will lead end-to-end product development for AI-driven interactions that enhance payments, travel, and membership engagement within a highly regulated financial ecosystem. This position suits professionals with strong experience in LLM-based systems, experimentation frameworks, and scalable digital product delivery in enterprise environments.

📅 Job Timeline & Status

This role is in an active mid-cycle hiring phase with strong emphasis on AI capability scaling. Given the posting is recent (May 22, 2026) and no deadline is specified, competition is expected to intensify quickly. Candidates with strong LLM product experience and enterprise AI exposure should apply immediately due to high inbound interest from global talent pools.

🌍 Work Eligibility & Location

This is a Hybrid role based in New York, meaning candidates should expect a combination of in-office collaboration and remote execution. Visa sponsorship is potentially available, making it accessible to international AI professionals with strong product and technical backgrounds.

💰 Salary Intelligence

The compensation is competitive for a mid-to-senior AI product role in enterprise fintech. With bonus structures and strong benefits, total compensation can significantly exceed base salary. The package is aligned with high-demand GenAI product leadership roles in regulated financial environments.

📊 Role Breakdown

This position centers on building scalable AI-native product experiences powered by LLMs, retrieval systems, and agentic orchestration frameworks. You will define product strategy for AI-driven customer interactions, translating business goals into technical execution plans. A significant portion of your work will involve collaborating with engineering teams on prompt design, context engineering, and evaluation pipelines for model quality assurance. Approximately 30–40% of your time will focus on roadmap definition, while another 40% will involve execution, experimentation, and iteration cycles. The remaining effort is dedicated to stakeholder alignment across legal, risk, design, and analytics teams.

You will also contribute to designing agentic workflows that allow AI systems to autonomously complete multi-step customer tasks. This includes integrating tools, APIs, and memory systems to ensure safe and reliable outputs. Continuous optimization through A/B testing, user feedback loops, and model evaluation metrics will be essential. The role demands strong fluency in AI product architecture and the ability to balance innovation with compliance constraints in a regulated financial environment.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly competitive role due to the combination of AI product ownership and enterprise financial infrastructure. Candidates with prior experience shipping GenAI or LLM-based products will have a strong advantage. Expect rigorous evaluation of both technical fluency and product intuition.

🚀 Career Impact

This role significantly enhances long-term career trajectory by positioning you at the intersection of AI innovation and enterprise-scale product deployment. Experience here translates strongly into future leadership roles in AI product strategy, particularly in regulated industries.

📋 Key Responsibilities

You will define and execute the roadmap for AI-powered customer experiences, ensuring alignment between business goals and technical feasibility. Responsibilities include collaborating with engineering teams on LLM-based features, designing agentic workflows, and integrating AI tools into production systems. You will drive experimentation strategies using product analytics and model evaluation metrics to improve performance and user satisfaction.

Additional responsibilities include managing cross-functional coordination across design, legal, risk, and data science teams. You will ensure that AI systems meet regulatory standards while maintaining high-quality user experiences. A core aspect of the role involves continuous iteration on prompts, retrieval systems, and AI tool integrations to improve accuracy, safety, and scalability.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

Hiring momentum is strong due to recent posting (May 22, 2026) and increasing enterprise focus on GenAI adoption. Candidate volume is expected to be high globally, especially from AI-native product professionals. With no fixed deadline, applications may close without notice. Interview cycles are likely to move within 2–4 weeks for shortlisted candidates, making early application critical for visibility.

Urgency is high, competition is intense, and fast submission improves screening priority significantly.

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✅ Job Source & Verification

This listing is based on official American Express Digital Labs job posting data. The information reflects a high-credibility corporate source with structured compensation and role definitions. Last updated: May 31, 2026. All details are consistent with enterprise-level AI product hiring standards in financial services.

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