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Customer Service 🏢 Full Time ⭐️ Verified

Senior Customer Success Manager

NexusTech Solutions
Austin, TX
Salary Estimate
USD 75.000 – USD 95.000
Live Update
10 Mei 2026
Deadline
10 Mei 2027

Job Description

Join our award-winning customer experience team at NexusTech Solutions, where innovation meets exceptional service. We're seeking a passionate Senior Customer Success Manager to drive client satisfaction and retention through strategic relationship building. This hybrid role combines remote flexibility with monthly in-office collaboration at our state-of-the-art Austin headquarters. You'll leverage cutting-edge CRM platforms to transform customer feedback into actionable insights while mentoring junior team members. Enjoy competitive benefits including equity options, wellness stipends, and professional development funding.

Responsibilities

  • Develop and execute personalized client engagement strategies to achieve 95%+ retention targets
  • Conduct quarterly business reviews with enterprise accounts to identify growth opportunities
  • Lead cross-functional initiatives between product and support teams to resolve complex escalations
  • Analyze customer usage data to identify upsell/cross-sell potential exceeding $500K annually
  • Mentor 3-5 junior team members through structured coaching programs
  • Implement NPS-driven feedback loops to continuously improve service quality

Qualifications

  • Bachelor's degree in Business, Communications, or related field
  • 5+ years B2B SaaS customer success experience with enterprise clients
  • Certification in Salesforce or HubSpot CRM platforms
  • Proven track record of reducing churn by 30%+ through proactive engagement
  • Advanced data analysis skills with proficiency in SQL and Looker
  • Exceptional conflict resolution abilities with C-level stakeholder experience
  • Fluency in English with additional language proficiency preferred

Required Skills

Customer Success Salesforce CRM SaaS Account Management NPS SQL Client Retention Cross-Functional Leadership Data Analysis

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