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

Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

ThoughtSpot for All

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.

What Makes ThoughtSpot a Great Place to Work?

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.

About ThoughtSpot

The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.