ThoughtSpot

About the Company

ThoughtSpot is the AI-native Intelligence Platform for every enterprise. Our mission is to create a more fact-driven world by empowering everyone to explore any data, ask any question, and uncover actionable insights faster—leading to growth, better business outcomes, and efficiency in their organizations: www.thoughtspot.com


With ThoughtSpot’s intuitive natural language search, every user can confidently generate answers from their business data at every point of decisioning. The platform’s unified capabilities, along with our agentic AI analyst, Spotter, enable users to create precise, transparent, personalized, and actionable insights with enterprise grade trust, security, and scale. Accessible via the web and mobile app, ThoughtSpot ensures intelligent decision-making happens seamlessly, wherever and whenever needed.

For developers, ThoughtSpot Embedded offers a low-code solution to integrate AI-powered analytics directly into products and services, driving data monetization and boosting user engagement for customers.

Industry leaders like NVIDIA, Hilton Worldwide, Capital One and Huel rely on ThoughtSpot to transform how their employees and customers take advantage of data to create better business outcomes.

Try ThoughtSpot today and experience the new era of analytics: https://www.thoughtspot.com/trial

Listed Jobs

Company Name

ThoughtSpot

Job Title

Senior Solutions Engineer

Job Description

**Job Title:** Senior Solutions Engineer **Role Summary:** Technical sales professional who partners with Enterprise Account Executives to drive adoption of ThoughtSpot’s Agentic Analytics Platform. Acts as a trusted advisor by understanding customer analytics challenges, delivering tailored demos and proof‑of‑concepts, and translating feedback into product improvements. **Expectations:** - Minimum 3 + years of experience in a solutions engineering or comparable customer‑facing technical sales role. - Ability to manage multiple concurrent engagements and travel as required. - Strong self‑motivation, growth mindset, and ability to thrive in a fast‑paced environment. **Key Responsibilities:** - Collaborate with Account Executives to define and execute account strategies. - Conduct discovery sessions to capture customer analytics priorities and business outcomes. - Present the technical and business value of ThoughtSpot to technical teams and executive stakeholders. - Deliver customized product demonstrations and lead end‑to‑end Proof‑of‑Concepts (POCs) that showcase ROI. - Advise customers on data modeling, warehousing, and cloud data platform usage. - Gather and relay customer requirements and competitive insights to Product Management. - Share best practices, product updates, and market intelligence within the sales team. - Maintain strong relationships with customer champions and internal stakeholders. **Required Skills:** - Proficient in SQL (complex query writing and optimization). - Solid understanding of data modeling, data warehousing, and ETL processes. - Hands‑on experience with modern cloud data platforms (e.g., Snowflake, Databricks, Amazon Redshift, Google BigQuery). - Familiarity with at least one scripting language (Python, JavaScript preferred). - Experience with BI/visualization tools (ThoughtSpot, Tableau, Power BI, Looker, MicroStrategy). - Strong verbal, written, and presentation abilities for both technical and business audiences. - Knowledge of cloud computing concepts and benefits. - Excellent analytical, problem‑solving, and independent work skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Analytics, or a related field (or equivalent practical experience). - Relevant certifications (e.g., Snowflake, AWS, Google Cloud, Tableau) are a plus but not mandatory.

Chicago, United states

On site

Senior

08-10-2025

Company Name

ThoughtSpot

Job Title

Solutions Engineer

Job Description

**Job Title** Solutions Engineer **Role Summary** Support technical sales across EMEA in a pre‑sales capacity, partnering with Account Executives and enterprise customers to demonstrate the value of data and analytics solutions. Translate business goals into technical solutions, guide product evaluations, and serve as a trusted advisor. **Expectations** - 3–5 years experience in technical or pre‑sales roles in BI, data warehousing, or analytics. - Proven consultative engagement with enterprise customers. - Self‑motivated, adaptable, proactive with strong initiative. - Willingness to travel within EMEA as required. **Key Responsibilities** - Conduct discovery conversations to understand customer analytic objectives. - Present and articulate business value to technical and business stakeholders. - Deliver compelling product demonstrations highlighting differentiation. - Guide customers through evaluations, interpreting their data. - Collaborate with sales to develop and execute account strategies. - Build and maintain trusted advisor relationships with customers and AEs. - Capture and communicate customer requirements to product and engineering. - Manage multiple engagements simultaneously while maintaining quality. - Continuously learn, share knowledge, and contribute to team development. **Required Skills** - Demonstrated success in customer‑facing technical or pre‑sales roles. - Intermediate or higher proficiency in SQL. - Working knowledge of JavaScript or Python preferred. - Strong understanding of data modeling concepts and best practices. - Hands‑on experience with modern databases: Snowflake, Amazon Redshift, Google BigQuery, Microsoft Synapse, SQL Server, Oracle. - Familiarity with BI/analytics tools: ThoughtSpot, Tableau, Looker, or similar. - Ability to translate customer needs into timely, tailored solutions. - Excellent communication, presentation, and storytelling skills for diverse audiences. - Solid grasp of cloud computing concepts and benefits. - Self‑directed, curious, problem‑solving mindset. - Highly coachable and eager to learn and grow. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. - Technical certifications in SQL, cloud platforms (AWS, GCP, Azure) or data analytics tools are advantageous.

London, United kingdom

On site

Junior

26-11-2025