Sprinklr Internship 2026
Sprinklr
Job Description
- 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 product teams based in the United States and globally, working with senior UX researchers, product designers, and engineers to translate complex workflows into clear user interactions. Rather than a shadowing role, you will own a multi-phase research study and deliver a capstone presentation directly to product leadership.
- Support & Execute Research Studies: Assist in planning, designing, and conducting generative and evaluative UX research studies, including user interviews, surveys, card sorting, and usability testing.
- Data Synthesis & Journey Mapping: Analyze qualitative user feedback and quantitative behavioral metrics to build user personas, task analyses, and comprehensive user journey maps.
- AI Workflow Integration: Adopt AI-driven tools to streamline research pipelines, evaluate human-AI trust, and analyze automated transcripts.
- Cross-Functional Collaboration: Work alongside Product Managers and Engineers to align user research insights with technical architecture and product roadmaps.
- Research Operations: Help manage participant recruitment pipelines, study logistics, and internal research documentation.
- UX Quality Assurance: Conduct product benchmarking, track competitor software developments, and review platform features to identify usability friction.
Key Responsibilities
- Support & Execute Research Studies: Assist in planning, designing, and conducting generative and evaluative UX research studies, including user interviews, surveys, card sorting, and usability testing.
- Data Synthesis & Journey Mapping: Analyze qualitative user feedback and quantitative behavioral metrics to build user personas, task analyses, and comprehensive user journey maps.
- AI Workflow Integration: Adopt AI-driven tools to streamline research pipelines, evaluate human-AI trust, and analyze automated transcripts.
- Cross-Functional Collaboration: Work alongside Product Managers and Engineers to align user research insights with technical architecture and product roadmaps.
- Research Operations: Help manage participant recruitment pipelines, study logistics, and internal research documentation.
- UX Quality Assurance: Conduct product benchmarking, track competitor software developments, and review platform features to identify usability friction.
Skills & Eligibility
- Currently pursuing or completed a Bachelor’s or Master’s degree (B.E / B.Tech / B.Sc / M.E / M.Tech / M.Sc) in Human-Computer Interaction (HCI), Cognitive Science, Psychology, Design, Computer Science, or related fields.
- AI-First Mindset: Eagerness to research AI-driven products, prompt workflows, and human-AI trust models.
- UX Research Fundamentals: Practical knowledge of research methodologies such as heuristic evaluations, context mapping, and semi-structured user interviews.
- Tool Proficiency: Experience with usability platforms (UserTesting, UserZoom), survey tools (Qualtrics, Typeform), and design tools (Figma, Miro).
- Analytical Capabilities: Ability to synthesize complex, ambiguous datasets into structured, actionable insights.
- Communication & Enterprise Curiosity: Strong storytelling skills to articulate user behavior, paired with enthusiasm for solving enterprise B2B SaaS challenges.
- Currently pursuing or completed a Bachelor’s or Master’s degree (B.E / B.Tech / B.Sc / M.E / M.Tech / M.Sc) in Human-Computer Interaction (HCI), Cognitive Science, Psychology, Design, Computer Science, or related fields.
- AI-First Mindset: Eagerness to research AI-driven products, prompt workflows, and human-AI trust models.
- UX Research Fundamentals: Practical knowledge of research methodologies such as heuristic evaluations, context mapping, and semi-structured user interviews.
- Tool Proficiency: Experience with usability platforms (UserTesting, UserZoom), survey tools (Qualtrics, Typeform), and design tools (Figma, Miro).
- Analytical Capabilities: Ability to synthesize complex, ambiguous datasets into structured, actionable insights.
- Communication & Enterprise Curiosity: Strong storytelling skills to articulate user behavior, paired with enthusiasm for solving enterprise B2B SaaS challenges.
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