**About the role: **
As a Member of Technical Staff 2, you’ll work on building and enhancing both frontend and backend systems that power our core platform. This is a great opportunity for early-career engineers to grow their skills, learn from experienced teammates, and contribute to real-world, scalable systems.
What You’ll Do:
- Develop and implement features for frontend and backend systems that process and manage customer data.
- Write clean, efficient, and testable code in Java, Python, Javascript, or C++, contributing to the reliability of our core platform.
- Participate in code reviews and collaborate with senior engineers to understand and improve system architecture.
- Debug and resolve technical issues across the stack to ensure high performance and stability.
- Work as a member of an agile team, responding quickly to business needs and continuously learning new technologies.
What You’ll Bring:
- Strong coding fundamentals: 1-2 years of experience (including internships) with a strong proficiency in modern languages such as Go, Java, Python, Javascript, or C++.
- Computer Science Foundation: Solid understanding of Data Structures, Algorithms, and Object-Oriented Design.
- Problem Solving: Ability to break down problems logically and demonstrate strong analytical thinking.
- Curiosity: A strong desire to learn about distributed systems, scalability, and database internals.
- Collaboration: Excellent communication skills and the ability to work effectively in a team environment.
Compensation & Benefits
In California, the estimated annual salary range for this role is $100K – $120K per year.
Actual compensation may vary and will be determined based on permissible, non-discriminatory factors such as skills, qualifications, experience, and location of the selected candidate.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits.
**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 office in US - Mountain View.
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.