Job description

ThoughtSpot 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. We are looking for a Solutions Engineer with 3-5 years of experience to help our technical sales efforts. In this role, you will drive business value for prospects and existing customers by demonstrating how ThoughtSpot’s product and services can assist in achieving strategic business goals. The ideal candidate for this position will have a demonstrated history of success in selling technical solutions to the enterprise market, preferably in the Business Intelligence, Data Warehousing, Data Engineering, or Analytics space. The successful candidate will have a strong understanding of how technology can solve business challenges, possess a consultative sales approach and value the importance of teamwork while having the ability to work independently in a rapidly growing and changing environment. The Role: • Understand customers’ analytic goals and challenges through successful discovery • Confidently present and articulate the business value of our platform to all levels • Demonstrate our product in a way that clearly differentiates us from the competition • Define and conduct product evaluations with customers by working with them to analyze their own data • Work as a team player by continually learning and sharing new knowledge • Manage multiple customer engagements simultaneously • Be self-motivated, flexible and take initiative • Be a partner with sales in assisting with planning account strategy • Develop a trusted advisor relationship with customer champions and ThoughtSpot Account Executives such that all activities are aligned with achieving customer and company success. What You Bring: • Demonstrated success as part of a sales team in a customer-facing role • Intermediate level or greater proficiency in SQL • Intermediate level or greater proficiency in JavaScript or Python preferred • Intermediate level understanding of data modeling concepts and best practices • Hands-on experience with common database technologies such as Snowflake, Amazon RedShift, Google BigQuery, Microsoft Synapse, SQL Server, Oracle, or other • Experience with BI tools such as MicroStrategy, Tableau, Looker or similar • Ability to grasp customer needs and suggest timely solutions • Strong verbal and written communication skills • Superior presentation and demonstration skills for both technical and business audiences • Broad understanding and ability to articulate the benefits of cloud computing • The ability to work independently in an environment that changes rapidly • Ambitious, innately curious and self-motivated with a high degree of sales and technical interest • Highly coachable with a strong desire to improve and grow • Strong initiative and positive attitude • Strong analytical and problem-solving skills • Able to travel as needed 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. 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. 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. #LI-Hybrid #LI-BN1

Requirements

Must-haves

Understand customers’ analytic goals and challenges through successful discovery
Confidently present and articulate the business value of our platform to all levels
Demonstrate our product in a way that clearly differentiates us from the competition
Define and conduct product evaluations with customers by working with them to analyze their own data
Work as a team player by continually learning and sharing new knowledge
Manage multiple customer engagements simultaneously
Be self-motivated, flexible and take initiative
Be a partner with sales in assisting with planning account strategy
Develop a trusted advisor relationship with customer champions and ThoughtSpot Account Executives such that all activities are aligned with achieving customer and company success.
Demonstrated success as part of a sales team in a customer-facing role
Intermediate level or greater proficiency in SQL
Intermediate level understanding of data modeling concepts and best practices
Hands-on experience with common database technologies such as Snowflake, Amazon RedShift, Google BigQuery, Microsoft Synapse, SQL Server, Oracle, or other
Experience with BI tools such as MicroStrategy, Tableau, Looker or similar
Ability to grasp customer needs and suggest timely solutions
Strong verbal and written communication skills
Superior presentation and demonstration skills for both technical and business audiences
Broad understanding and ability to articulate the benefits of cloud computing
The ability to work independently in an environment that changes rapidly
Ambitious, innately curious and self-motivated with a high degree of sales and technical interest
Highly coachable with a strong desire to improve and grow
Strong initiative and positive attitude
Strong analytical and problem-solving skills

Nice-to-haves

Intermediate level or greater proficiency in JavaScript or Python preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqljavascriptpython

Platform: rippling
Effort: medium