Customer Success Manager, AI Products - MCP Manager
Ort: New York, New York, United States · Bereich: Customer Success & Client Operations · Level: Mid-Level · Veröffentlicht: 5. November 2026 · Geprüft: 13. Nov. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von Usercentrics beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu Usercentrics und vergleiche das Ökosystem mit direkten Wettbewerbern.
Usercentrics
usercentrics.comConsent Management und datenschutzkonforme Marketing-Software für digitale Kanäle.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu Usercentrics freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
This role owns deployment and activation success for a portfolio of customers, embedding deeply into their organizations to drive AI adoption. The lead builds champion networks, runs workshops and training sessions, and designs activation strategies that turn AI investment into measurable outcomes. They partner with transformation leads to identify the right capabilities for each use case.
This role leads product management for AI agents and MCP (Model Context Protocol) initiatives. The principal PM will define product strategy, requirements, and roadmap for AI-powered features.
This role owns adoption, value realization, relationship health, renewal readiness, and expansion after go-live for enterprise AI customers. Responsibilities include building success plans around measurable operational outcomes, driving adoption, leading evidence-based business reviews, and identifying renewal risks early. Requires enterprise customer success or technical account management experience, technical fluency with APIs and integrations, and clear executive communication.
This director-level role leads customer success initiatives for AI products, ensuring client adoption, retention, and growth. Requires strategic leadership and deep understanding of AI solutions.
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