Research Intern

Job description

Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale — across every customer touchpoint.  By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr’s unified platform provides powerful solutions for every customer-facing team — spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management — enabling enterprises to unify data, break down silos, and act on real-time insights.  Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.  Job Description Role Overview  As a UX Research Intern, you will play a critical role in shaping the future of Sprinklr’s multi-product enterprise platform. You will collaborate closely with teams based in the United States, gaining exposure to global product development practices and cross-functional stakeholder engagement. You will work closely with an assigned mentor, senior UX researchers, product designers, and engineers to translate complex workflows into simple, delightful user interactions. This is not a “shadowing” role you will own a multi-phase research study, collect impactful qualitative and quantitative data, and present a final capstone project directly to product leadership.  Key Responsibilities  • Support and Execute Studies: Assist in planning, designing, and conducting generative and evaluative research studies, including user interviews, surveys, and usability tests.  • Data Synthesis & Analysis: Analyze qualitative feedback and quantitative behavioral metrics to build user personas, task analyses, and user journey maps.  • Cross-Functional Collaboration: Partner with product managers and engineers to understand technical constraints and ensure user needs are integrated into product roadmaps.  • Research Operations Support: Help organize participant recruitment pipelines, coordinate study logistics, and manage internal research repositories.  • Advocate for the User: Translate raw data into highly actionable design insights, presenting findings through compelling visual decks and reports to cross-functional stakeholders.  • UX Quality Assurance: Participate in product benchmarking, track competitor software developments, and review platform features to identify usability friction.  What We Look For  • Education: Currently pursuing a Bachelor’s or master's degree in Human-Computer Interaction (HCI), Cognitive Science, Psychology, Design, or related field.  • AI-First Mindset: A strong curiosity for AI systems. Eagerness to learn how to research AI-driven products, including human-AI trust, hallucination impacts, and prompt workflows, and enthusiasm for adopting AI tools to streamline the research pipeline, such as automated synthesis and transcript analysis.  • Research Fundamentals: Solid academic or project experience with foundational UX research methods, such as card sorting, heuristic evaluations, semi-structured interviews, and context mapping.  • Analytical Mindset: Ability to synthesize complex, ambiguous data sets into clean, concise, and structured takeaways.  • Communication Skills: Excellent presentation skills, with a knack for telling stories with data and articulating the “why” behind user behaviors.  • Tool Proficiency: Familiarity with user testing platforms (UserTesting, UserZoom), survey tools (Qualtrics, Typeform), and prototyping/collaboration spaces (Figma, Miro).  • Enterprise Curiosity: Passion for solving dense, complex B2B workflow puzzles rather than just simple B2C applications.    What the Internship Offers  • Mentorship & Onboarding: Dedica