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Jobs/Customer Success Engineer Role/actian - Corporation - Customer Success AI Insights Intern
actian

actian - Corporation - Customer Success AI Insights Intern

US-Remote - Hybrid3w ago
In OfficeInternNAArtificial IntelligenceData AnalyticsCustomer Success EngineerAmbassadorStorytellingExcelGoogle SheetsCustomer SuccessGemini

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Requirements

• AI/ML Familiarity: Experience with Natural Language Processing (NLP) or Large Language Models (LLMs) to transform high-volume, unstructured conversational data into actionable insights. • Data Integration Skills: Proficiency in using APIs and data integration tools to programmatically pull data from sources rather than relying on manual exports. • Problem-Solving Mindset: Ability to approach open-ended "driving questions" with curiosity to find innovative technical solutions for complex business problems. • Research & Insights: Demonstrated experience using research, analysis, or data interpretation to identify patterns and generate actionable insights • A rising Senior or Junior pursuing an undergraduate degree in Business, Computer Science, Data Science, Artificial Intelligence, Information Systems or a related field. • Familiarity with AI tools such as ChatGPT, Gemini, Claude, or similar technologies for summarization, synthesis, or analysis • Strong analytical and problem-solving skills, with the ability to work through ambiguity and structure findings clearly • Strong written and verbal communication skills, with the ability to communicate findings through clear summaries and storytelling • Proficiency with Microsoft Excel, Word and PowerPoint and / or Google Sheets, Docs and Slides • Must be actively enrolled in a college degree program • Must be legally authorized to work in the United States

Responsibilities

• Design and Develop an AI Feedback Agent: You will lead a high-impact capstone project to build an AI agent that automatically gathers, synthesizes, and prioritizes product feedback from diverse data sources. • Data Mapping and Analysis: Collaborate with stakeholders to discover and map unstructured data sources—including meeting logs, emails, and support cases to define metrics for "meaningful feedback". • Prototyping and Testing: Design and execute test cases to evaluate the accuracy and reliability of the AI feedback pipeline, iterating on prompts, data inputs, and synthesis logic based on findings. • Strategic Project Presentation: Document the final AI synthesis framework and present your findings and lasting results to Actian during the Week 12 Internship Showcase.

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