Serve as Customer Success Manager responsible for getting customers to business outcomes quickly using Zendesk solutions
Work across customer organizations from CXO level to administrators
Deliver outcome-driven engagement through onboarding, success planning, product adoption and value realization
Remove obstacles to product adoption and advocate for customers across Zendesk ecosystem
Drive product adoption, provide prescriptive best practices and quantify customer value
Bring prioritized and data-driven customer feedback into product development
Proactively engage and communicate with customers verbally and in writing
Forge relationships with account team: sales, customer support, professional services, renewals, marketing
Develop relationships with customer leaders from CIOs to IT professionals
Track engagement and customer health metrics (success plan status, product adoption/usage, NPS, etc.)
Travel to customer locations for at least 40% of time
Requirements
Bachelor degree in computer science, information sciences & technology, engineering or business
Minimum of 4+ years of related experience in Customer Success / Experience
Fluency in Spanish preferred
Previous experience in go-to-customer/GTM roles in enterprise technology / SaaS
Previous experience in customer success management, professional services/consulting, technical account management, or solutions engineering/pre-sales consulting
Previous experience leveraging leading customer success tools (e.g., Gainsight)
Track record of learning new technology/software solutions and linking software solutions to customer use cases and business value
Experience in supporting and driving adoption of AI-powered solutions in customer-facing roles is a plus
Ability to explain and demonstrate the value of AI to both technical and non-technical stakeholders
Proven ability to multi-task and perform program/project management activities
Strong interpersonal skills with ability to influence at multiple levels across customer organizations and internal teams
Ability to do foundational quantitative analysis and basic churn forecasting