ironquill.tech/board

$ cat jobs/senior-product-manager-ai-nice-f104601049b6.json

Senior Product Manager, AI

NICE·Worldwide·Israel - Raanana·senior
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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? NiCE is looking for a Senior Product Manager – AI to lead the definition and hands‑on creation of AI‑native, market‑leading Customer Experience solutions. In this role, you will own innovative AI capabilities across the NiCE CX platform, shaping how AI understands customer interactions, guides human agents, and automates outcomes at enterprise scale. You will have the opportunity to personally design, prototype, and validate AI‑driven product experiences. You will be responsible for building the next generation of AI‑powered CX solutions—not just features, but intelligent systems and working prototypes—while maintaining NiCE’s standards for security, governance, and enterprise readiness. This is a highly hands‑on product role, ideal for a PM who enjoys building, experimenting, and turning ideas into tangible product artifacts quickly. How will you make an impact? Identifying real market and customer problems through research, data analysis, and direct customer engagement—and rapidly turning insights into working product prototypes Driving AI‑first product strategy, ensuring that AI is designed as a foundation for outcomes, not just an add‑on feature Using prototypes as a core decision‑making tool—to explore solutions, de‑risk complexity, and accelerate time‑to‑value Delivering clear, actionable roadmaps and strategic plans that are grounded in validated product concepts, not assumptions Championing customer experience excellence through experimentation, iteration, and feedback‑driven improvements Collaborating in a truly cross‑functional environment, where product, engineering, and data teams work as one Leading data‑driven decision making, using an