Provide technical product support by troubleshooting complex issues, coordinating with Engineering and Product teams, and using SQL and data analysis to improve support operations and user experience.
Salary not listed
On-site2+ YOESupport Engineering
About the role
Responsibilities
Analyze and troubleshoot complex technical issues through direct user interaction (email, phone).
Develop product and platform expertise, working closely with Engineering, Product, and Operations teams to diagnose and resolve user issues.
Optimize and scale support processes to enhance efficiency and improve the overall user experience, incorporating data-driven insights and metrics.
Lead continuous improvement initiatives aimed at hitting key performance metrics such as customer satisfaction, contact rate, and service-level agreement compliance.
Create and refine documentation to empower users to resolve issues via self-service, reducing dependency on support teams.
Collaborate and advocate with Product and Engineering to improve the platform based on user feedback, ensuring long-term product reliability.
Lead cross-functional projects aimed at identifying inefficiencies in current processes and driving the implementation of long-term solutions.
Challenge the status quo and push for innovation in user support strategies and operational processes.
Requirements
2+ years of experience in a customer-facing product support role, with a focus on troubleshooting technical issues.
Proficiency in SQL for data analysis and querying, with the ability to interpret datasets.
Excellent problem-solving skills, capable of diagnosing complex issues and driving them to resolution.
Proven experience in stakeholder management, with the ability to influence cross-functional teams and drive progress.
Experience in project management, particularly in optimizing processes, workflows, or support operations.
Willingness to work occasional weekends and holidays (with compensatory time off).
Nice-to-Haves
Strong data analysis skills with a passion for interpreting data to improve decision-making and outcomes.
Comfortable explaining technical concepts to both technical and non-technical stakeholders.
Proficiency in technical environments and the ability to diagnose and resolve technical user issues.
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