Member of Technical Staff 3

About the Role: We are a modern AI-driven analytics and data platform company building highly scalable, cloud-native products used by global enterprises. Our engineering teams solve deep technical problems across data systems, distributed computing, query performance, and intuitive user experiences. As a Member of Technical Staff (MTS 3), you will work across the frontend stack—building elegant front-end experiences that power intelligent analytics products. You will contribute to a platform that brings search, AI, and analytics together, enabling users to interact with data seamlessly and at scale. What You’ll Do: Design, implement, and extend features across the front-end, working end-to-end from API/service layer through UI. Collaborate with product, design, and architecture teams to convert product vision into reliable, high-impact engineering solutions. Build robust, scalable services including REST/GraphQL APIs, business logic, data persistence, caching, microservices, and event pipelines. Develop rich, responsive UI interfaces using modern frameworks and front-end tools. Troubleshoot and optimize performance across the Frontend stack—queries, memory usage, concurrency, caching, and throughput. Ensure strong code quality, testing, observability, and deployment hygiene. Participate in design discussions and contribute to the evolution of the platform. What You Bring: 1 years of proven frontend engineering Work experience along with Bachelors/Masters in Computer Science Strong skills with modern front-end frameworks (React/Angular/Vue) and the JavaScript/TypeScript ecosystem. Familiarity with Node.js is required Familiarity of databases (SQL/NoSQL), query optimisation, and schema design. Familiarity with distributed systems fundamentals, microservices, message queues and async workflows. Working knowledge of backend languages (Java, Go, Python) and API development is a huge plus Experience working with Git, CI/CD pipelines, testing frameworks, and Linux environments. Strong problem-solving ability, ownership mindset, and effective communication skills. Mandatory and Required Skills for All ThoughtSpot Roles Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to: Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality. Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality. Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions. Write effective prompts to get the most accurate and creative results from AI tools. Spotters are expected to exemplify these key traits and AI Mindset: Curiosity in exploring new AI tools Adaptability to quickly learn and implement new, emerging AI technologies Critical thinking to know when to identify when AI should be used versus when human judgement is necessary This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot. AI Mindset for All Spotters At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work. All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI. Hybrid Work at ThoughtSpot This office-assigned role is available as a hybrid position, reporting to the offi ... (truncated, view full listing at source)