Intern supporting the quality organization with AI implementation and operational responsibilities at Super.com. Engage in real projects and contribute to day-to-day operations while gaining hands-on experience.
Responsibilities
Monitor and triage the TAM request channel for partner, supply, finance, and operations teams seeking TAM assistance.
Monitor and respond to high-priority travel alerts, applying playbooks and escalating as needed.
Track request status, categorize incoming support items, and ensure each item reaches resolution — coordinating with partners, engineering, and operations as appropriate.
Assist with documentation, playbook updates, and RCA (Root Cause Analysis) summaries for Travel vertical incidents.
Help maintain and interpret Product Health dashboards in Amplitude and Snowflake; surface meaningful trends to the travel team.
Lead one or more projects that improve AI usage and outcomes across the Quality organization (TAMs and PSEs). For example, building or refining AI subagents for alert triage or investigation, developing reusable AI skills or workflows in the quality-ai GitLab repository, improving prompt quality for scheduled AI analysis tasks, documenting AI usage patterns for broader team adoption, or other projects where Super.com business needs align with your personal interests.
Collaborate with PSEs and TAMs across Travel, Fintech, Earnings, and Operations verticals to share learnings and drive adoption.
Master and utilize various AI tools and agents in support of the above activities.
Requirements
Currently enrolled in a degree program combining technical coursework (computer science, information systems, data science, or similar) with business or management coursework.
Foundational understanding of API concepts (REST, JSON, HTTP request/response) — you don't need to be a programmer, but you should understand how systems communicate.
Ability to construct basic SQL queries to retrieve and filter data; comfort using AI tools (Claude, ChatGPT, Cursor, etc.), and familiarity with Amplitude and Datadog.
Experience or strong interest in working with AI tools to perform analysis, interpret outputs, and build simple automation or workflow improvements.
Strong written communication skills — clear, concise, and structured.
Organized, self-directed, and comfortable navigating multiple Slack channels, dashboards, and tools simultaneously.
Curiosity for how systems behave in production — what the data means, why alerts fire, and what's causing anomalies.
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