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Member of Technical Staff

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: ThoughtSpot
Full Time, Part Time position
Listed on 2026-03-07
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 110000 USD Yearly USD 90000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Member of Technical Staff 2
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** Member of Technical Staff 2 page is loaded## Member of Technical Staff 2remote type:
Hybrid locations:
Mountain View, CAtime type:
Full time posted on:
Posted Todayjob requisition :
JR1958

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, Java script, 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: 0-1 years of experience (including internships) with a strong proficiency in modern languages such as Java, Python, Java script, 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.
** Mandatory and Required Skills for All Thought Spot 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 Thought Spot.
** AI Mindset for All Spotters
** At Thought Spot, 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 Thought Spot’s AI tools (like Spotter and Spotter Viz) 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 Thought Spot
** 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.
** Thought Spot for All
** At Thought Spot, 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…
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