Member of Technical Staff

Thought Spot is a Data & AI platform that helps companies turn data into enterprise advantage. We're Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.

At Thought Spot ,we'rebuildingthefutureofanalyticswithAIatthecore.

Asa Memberof Technical Staff ,you'lljoinateamofworld-classengineersworkingontechnologiesthatpowerournext-generationanalyticsplatform.

Fromdistributedsystemsandhigh-performancebackendservicestoAI-poweredsearchandnaturallanguageunderstanding,you'llworkonchallengingengineeringproblemsatscalewhilelearningfromexperiencedmentors.

Thisisanopportunitytobuildproductsthatareusedbysomeoftheworld'sleadingenterprisesandmakeanimpactfromdayone.

• Design,develop,andmaintainscalablebackendsystemsthatprocesslargevolumesofdatawithhighperformanceandreliability.
• Build production-gradesoftwareusinglanguagessuchas Java,Go,Python,orC++ .
• Contributetothedesign,implementation,testing,anddeploymentofcoreplatformcomponents.
• Improvethescalability,performance,andreliabilityofdistributedsystems.
• Write clean,maintainable,andwell-testedcodefollowingengineeringbestpractices.
• Participateincodereviews,technical discussions,debugging,and problem-solvingwithexperiencedengineers.
• Collaboratecloselywithcross-functionalteamsinafast-paced,agile environment.

• Bachelor'sor Master'sdegreein
  
  Computer
  
  Scienceorarelatedengineeringdiscipline.
• Strongfoundationin Data Structures,Algorithms,Object-Oriented Programming,and Software Engineering .
• Goodunderstandingofcore Computer Science fundamentals ,including Operating Systems,Computer Networks,Databases,and Distributed Systems .
• Proficiencyinatleastoneprogramminglanguagesuchas Java,C++,Go,or Python .
• Stronganalyticalthinkingandproblem-solvingskillswithapassionforbuildingscalablesoftware.
• Curiositytolearn,ownership,andtheabilitytothriveinacollaborativeengineeringenvironment.
• Internship,academic projects,orhands-onexperienceinbackendsystems,distributed systems,cloud technologies,orAI/MLisaplus.

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.

The world’s most innovative companies turn to Thought Spot’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, Thought Spot 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 Thought Spot to transform decision-making into a truly data-driven culture.

At Thought Spot, 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.

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…