Senior Customer Success Manager
D
Domino Data LabAI-driven organizations
Remote USFull-TimeSenior
Salary200000 - 250000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- DockerGCPKubernetesSalesforceDatabricksCRM
Requirements
- 3+ years in a client-facing, pre or post-sales role
- Experience as a Customer Success Manager, Account Manager, or Project Manager
- Preferably in a SaaS/AI environment
- Experience in relevant products such as Cloudera, Databricks, Sagemaker, Google, SAS or other MLAnalytics Solutions, Docker, Kubernetes
- Ability to multi-task and manage approximately 10 accounts
- Technical aptitude to understand Domino's portfolio
- Customer management skills to drive retention and expansion
- High level of comfort speaking with executives and procurement at Enterprise companies
- Proven track record of exceeding goals
- Desire to work in a fast-paced, collaborative environment
- Bias toward action
- SFDC and CRM tools proficiency
Responsibilities
- Represent Domino during a pivotal period in the customer’s lifecycle; understand and speak to Domino's value proposition
- Drive conversations and kick start migration conversations to drive Domino Cloud adoption among VPC and Onprem existing customers
- Work closely with the Scaled CS team to automate CS initiatives and bring a digital experience to listed accounts
- Demonstrate Domino product expertise and ML Ops / AI knowledge to have meaningful, consultative conversations with customers throughout their renewal process
- Leverage data and insights alongside understanding of customer’s goals to prescribe commercial terms that align with business needs
- Identify and secure upsell opportunities where applicable, whether at renewal or mid-cycle
- Partner with the Sales Team to ensure on-time delivery of customer renewals without compromising the customer experience
- Maintain and report an accurate forecast for all renewals in your portfolio
- Communicate to the business risks identified and develop resolution strategies, escalating wherever appropriate
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