DevJobs

Customer Success Automation Engineer

Overview
Skills
  • Bash Bash
  • Python Python
  • SQL SQL
  • Django Django
  • Salesforce Salesforce
  • Ansible Ansible
  • Grafana Grafana
  • Puppet Puppet
We are seeking a proactive and detail-oriented Customer Success Automation Engineer to join our growing team. The ideal candidate will have a strong technical background combined with a passion for enhancing customer experience through automation. This role will focus on developing and implementing automated solutions to streamline customer success processes, improve efficiency, and drive customer satisfaction.

  • Develop and Implement Automation Solutions: Design, develop, and deploy automated workflows to optimize customer success operations.
  • Process Improvement: Identify opportunities for automation within customer success processes and implement solutions to improve efficiency and customer satisfaction.
  • Technical Support: Provide technical expertise and support to the customer success team in utilizing automation tools and systems.
  • Data Analysis: Analyze customer data to identify trends, patterns, and areas for improvement. Use data insights to drive automation strategies.
  • Collaboration: Work closely with cross-functional teams, including Customer Success, Product, and Engineering, to understand customer needs and develop appropriate automated solutions.
  • Documentation: Create and maintain documentation for all automation processes and workflows.
  • Training and Support: Train and support customer success team members on new automation tools and processes.

Requirements:

  • Minimum of 3-5 years of experience in automation engineering, preferably in a customer success or customer service environment.
  • Proficiency in programming languages such as Python and Bash, and experience in developing in Django environments.
  • Experience with automation tools, including Ansible and Puppet.
  • Familiarity with CRM systems, specifically Salesforce.
  • Knowledge of Grafana for data visualization and SQL.
  • Analytical Skills: Strong data analysis skills and experience with data visualization tools.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical concepts.
  • Problem-Solving Skills: Strong analytical and problem-solving abilities with a proactive approach to identifying and addressing issues.
  • Team Player: Ability to work effectively in a collaborative team environment.
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