Senior Customer Success Manager
New
C
CoderPadTechnical interviewing software
This role is located in the United States, CST/ EST hoursFull-TimeManager
Salary$120,000 - $130,000 a year; base salary range (in USD): $100,000- $110,000, with OTE for this role: $120,000-$130,000
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Job Details
- Required Skills
- Customer SuccessCross-functional collaboration
Requirements
- Build deep, long-term relationships with customer stakeholders.
- Articulate value clearly to audiences ranging from daily users to business leaders.
- Interpret customer and usage data to guide proactive actions.
- Anticipate challenges and drive solutions collaboratively.
- Understand customer business models and align solutions to outcomes.
- Partner with Sales, Product, Support, and other internal teams.
- Use AI as a core part of work, delegating appropriate tasks and directing AI effectively.
- Critically evaluate AI outputs and build AI-enabled workflows that improve the quality and speed of customer work.
Responsibilities
- Manage a portfolio of approximately 40–50 mid-market customers, focusing on retention, adoption, satisfaction, and strategic health.
- Lead onboarding plans to help customers realize rapid time-to-value and strong adoption.
- Use data and qualitative signals to identify at-risk accounts and recommend corrective actions.
- Develop and execute customer success plans aligned with each customer’s business goals.
- Drive renewal conversations and mitigation strategies, partnering with Sales where appropriate.
- Identify expansion opportunities and influence them through value messaging and coordinated actions with Strategic Account Executives.
- Conduct periodic business reviews to showcase value delivery and deepen customer relationships.
- Represent the voice of the customer internally to drive product improvements and operational refinements.
- Partner with Product, Support, Marketing, and other teams to deliver a cohesive customer experience.
- Use AI tools daily for account research, customer insights, success planning, QBR preparation, risk identification, and internal workflows.
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