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We are looking for a Support Engineer to join a dynamic and highly technical AI-focused customer revolutionizing the code review process. This role is ideal for someone who thrives on solving complex technical issues, has a passion for helping customers, and enjoys working at the intersection of cutting-edge technology and real-world implementation.
Job Responsibility:
Work directly with customers to troubleshoot, debug, reproduce, and resolve complex technical issues
Educate users on best practices to ensure they maximize the platform’s value
Set up Zoom calls with customers to resolve issues, improve their experience, and support product adoption
Support the customer success and sales teams on sales, retention, and expansion initiatives
Collaborate with engineering to identify bugs, technical defects, and product enhancement opportunities
Test new features and contribute to internal tools to improve deployment scalability and auto-support infrastructure
Analyze customer usage and proactively identify risks within the install base
Translate customer feedback into actionable product improvements in collaboration with development teams
Develop and maintain internal and external knowledge bases to support continuous improvement
Participate in a scheduled weekday and off-hours support rotation as needed
Requirements:
Bachelor’s degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related technical field
At least 2 years of experience in technical support, software engineering, or other technical customer-facing roles
Excellent communication skills, with business fluency in both written and spoken English
Proven problem-solving ability with a focus on debugging and issue resolution
Customer-oriented mindset with a passion for delivering exceptional user experiences
Experience with modern ticketing and customer support systems
Familiarity with at least one programming or scripting language
Understanding of software development workflows, including Git, GitHub, CI/CD, and tools like VS Code and Cursor
Nice to have:
Experience with code review tools and processes
Familiarity with observability practices, root cause analysis, and debugging tools
Knowledge of customer success methodologies (e.g. MEDDPICC), retention strategies, or professional services delivery
Experience working with cloud platforms (e.g. GCP), PostgreSQL, or self-hosted deployments