Senior Solutions Engineer

The Role Run discovery that uncovers customers' real analytic goals and challenges, not just their stated requirements. Present and articulate the platform's business value to audiences ranging from practitioners to executives. Demonstrate the product in ways that clearly differentiate us from the competition. Define and run product evaluations, working hands-on with customers' own data. Learn continuously and share what you learn — knowledge compounds across the team. Manage multiple customer engagements simultaneously without losing momentum on any of them. Bring self-motivation, flexibility, and initiative to every engagement. Partner with sales to shape and execute account strategy. Build trusted advisor relationships with customer champions and ThoughtSpot Account Executives, keeping every activity aligned to customer and company success — we work for our users, not just the deal. What You Bring 2+ years experience as a solutions engineer (presales) with a focus on BI/data/analytics Advanced proficiency in SQL Advanced proficiency in JavaScript or Python (preferred) Advanced 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 similar 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 technical and business audiences Broad understanding of cloud computing and the ability to articulate its benefits Comfort working independently in a fast‑changing environment - Ambitious, curious, and self‑motivated, with a strong interest in both sales and technology - Highly coachable, with a genuine desire to improve and grow - Strong initiative and a positive attitude - Strong analytical and problem‑solving skills - Willing to mentor and enable junior members of the team - 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. 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, The Pay Range For This Role Is 150,318 - 198,000 USD per year(US - Chicago) #J-18808-Ljbffr