Key Responsibilities

First line of response to any customer issues: root cause, reproduce, and respond using AI and CS knowledge. Define processes and build automations to streamline support.
Escalation, resolution, and education: Escalate unresolved issues to appropriate stakeholders, track resolutions, and educate customers.
Knowledge documentation and distribution: Document failure modalities and distribute knowledge to customers and internal teams.
Product testing and feedback: Test releases across IDEs, languages, and modalities; automate QA processes using CS and AI skills.

Qualifications

2+ years working in a technical role
Bachelor's or higher degree in Computer Science, Software Engineering, or related field
Knowledge of distributed computing, containerization, and orchestration technologies (e.g., Docker, Kubernetes)
Proficiency in programming languages such as Python, Java, or Go
Strong organizational skills and customer friendliness
Strong problem-solving skills and ability to work in a fast-paced startup environment
Passion for artificial intelligence and large language models (hands-on experience a plus)