About ThoughtSpot

ThoughtSpot is the leader in Agentic Analytics, helping organizations turn natural language into governed, trusted insight through Spotter and our broader analytics platform. Headquartered in Mountain View, California, with hubs across North America, EMEA, and India, we're a fast-growing B2B SaaS company built on continuous innovation and a genuine passion for making AI work for the people who use it every day.

About the Role

At ThoughtSpot, we're building the future of analytics with AI at the core. As a Member of Technical Staff, you'll join a team of world-class engineers working on technologies that power our next-generation analytics platform. From distributed systems and high-performance backend services to AI-powered search and natural language understanding, you'll work on challenging engineering problems at scale while learning from experienced mentors. This is an opportunity to build products that are used by some of the world's leading enterprises and make an impact from day one.

What You'll Do

Design, develop, and maintain scalable backend systems that process large volumes of data with high performance and reliability.
Build production-grade software using languages such as Java, Go, Python, or C++.
Contribute to the design, implementation, testing, and deployment of core platform components.
Improve the scalability, performance, and reliability of distributed systems.
Write clean, maintainable, and well-tested code following engineering best practices.
Participate in code reviews, technical discussions, debugging, and problem-solving with experienced engineers.
Collaborate closely with cross-functional teams in a fast-paced, agile environment.

What You Bring:

Bachelor's or Master's degree in Computer Science or a related engineering discipline.
Strong foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Engineering.
Good understanding of core Computer Science fundamentals, including Operating Systems, Computer Networks, Databases, and Distributed Systems.
Proficiency in at least one programming language such as Java, C++, Go, or Python.
Strong analytical thinking and problem-solving skills with a passion for building scalable software.
Curiosity to learn, ownership, and the ability to thrive in a collaborative engineering environment.
Internship, academic projects, or hands-on experience in backend systems, distributed systems, cloud technologies, or AI/ML is a plus.

Why Join ThoughtSpot

Work on cutting-edge AI and distributed systems challenges at enterprise scale.
Learn from experienced engineers through mentorship, code reviews, and collaborative design.
Build products that power data-driven decisions for global organizations.
Grow in a culture that values innovation, ownership, and continuous learning.
Make meaningful contributions from the very beginning of your career.

In-Office at ThoughtSpot

Spotters are expected in-office 3+ days per week to be part of the energy of their local team. Momentum compounds when we're in the room together with faster decisions, sharper problem-solving, and the kind of peer learning that doesn't happen over a screen. Being in-office is our default way of working, with flexibility available where it's genuinely needed.

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.

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.