UK remote
Sr. AI Customer Success Manager
About this role
The AI Customer Success Manager operates as an overlay enablement and adoption strategist across regional Customer Success (CS) teams. As AI-powered products mature into General Availability (GA) and sustained operations, this role ensures customers rapidly achieve value, build trust, and drive continuous usage. You will act as a trusted advisor to help clients activate, integrate, and maximize value from our AI platform.
The ideal candidate possesses a unique blend of technical curiosity, consultative skills, and data literacy. Your primary metrics of success will be AI product adoption, AI-specific Net Revenue Retention (NRR), and AI customer referenceability. Location: Remote with up to 25% Travel Core Responsibilities AI Adoption & Enablement AI Coaching: Deliver human enablement, teaching users best practices for AI value realization, including workflow configuration and effective prompt engineering.
Data Contextualization: Assist clients in configuring the AI to properly reflect their specific industry, data schemas, and domain terminology. Cross-Functional Collaboration Product Feedback: Act as the voice of the customer, capturing user friction points to directly influence the product roadmap. Technical Escalations: Partner with Solutions Engineers and Support to quickly resolve complex technical issues or data anomalies.
Playbook Development: Document successful implementation patterns to scale best practices across the CS organization. New Product Launch and Customer Onboarding Customer Onboarding: Monitor PS-led implementation projects for AI-powered products across the region as go-live milestones approach. Support CSMs and customers through technical onboarding processes to minimize friction points at this critical stage. Customer Enablement: Post Go-Live, design and deliver end-user training, tactical playbooks, customer office hours, and workflow integration sessions for regional CS teams and end-users.
Phase Handoff to CS: Consume handoff briefs to understand customer nuances, edge cases, and field reality before taking operational ownership. Early Escalation: Identify and escalate launches falling below baseline metrics to prevent sustained adoption failure. Sustained AI Operations Monitor Adoption Metrics: Develop deep expertise in available AI product metrics. Work with Agent Ops if the customer, the CSM and/or the Agent Ops team identifies issues with agent behavior.