**We value your privacy**ThoughtSpot

Applying for this role is straight forward Scroll down and click on Apply to be considered for this position. is seeking a dynamic Engineering Leader to lead the vision, strategy, and execution of Analyst Studio, our AI-powered data preparation and semantic modeling platform. This critical leadership role will oversee a multidisciplinary engineering team focused on building intelligent data transformation tools, semantic layer abstractions, and machine-learning-driven metadata enrichment. Your work will empower enterprises to unify and operationalize data across sources with speed and trust. You will work closely with Product, UX, and Go-To-Market teams to deliver next-generation capabilities in: Structured data transformation, Natural language-to-SQL translation, Knowledge-graph-powered context modeling We're looking for someone with deep expertise in the data domain, whether in analytics or related areas that emphasize scalable architectures. Experience in search, AI/ML, or enterprise SaaS is highly valuable.**The Role**● 12+ years of total engineering experience, including 5+ years in engineering leadership roles. ● Proven experience leading teams delivering high-performance enterprise software or data platforms. ● Strong understanding of semantic layers, data modeling, and data preparation workflows. ● Familiarity with modern data stack tools (e.g., dbt, Cube.dev, AtScale, Trino, Airflow). ● Hands-on experience with LLMs, embedding models, or knowledge graphs is a strong plus. ● Track record of building and scaling distributed, production-grade software systems. ● Expected to be hands-on, capable of diving deep into debugging customer issues, analyzing logs and code, and resolving complex technical challenges. ● Experience integrating LLM-driven agents or natural language interfaces with enterprise data systems is a plus. ● Background in analytics, BI, metadata management, or MDM solutions is preferred. ● Understanding of cloud infrastructure (AWS/GCP), containerization, and CI/CD pipelines. ● Strong communication and executive presence; able to influence cross-functional leadership. ● Familiarity with geographically distributed teams and infrastructure, ideally in a high-release-velocity or startup environment. **Who you are...****Required skills/qualifications** ● Technical - You love technology. You love to discuss it, build it, use it, leverage it, and stay abreast of the latest developments. ● Problem solver - You are inspirational in problem-solving, algorithmic thinking, and programming skills along with computer science fundamentals. ● Recruiter & team builder - You are always looking for & hiring the best talent to ThoughtSpot. You understand the value of great teams. You enjoy collaborating with and mentoring others. You take pride in making others better. ● Platform builder - Search has been the biggest arc of growth for Thoughtspot. It will continue to do so only if we can build large-scale HA infrastructure that can support search applications. ● Customer obsessed - You are obsessed with making customers successful. You build software with customers in mind and get satisfaction by having satisfied customers. You go out of your way to help customers be successful.The world's most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization, from C-suite executive to frontline employee, with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions and take action. ThoughtSpot is simple enough for any business person to use, yet built to handle even the largest, most complex data, wherever it may reside. That's why customers like T-Mobile, BT, Snowflake, HubSpot, Exxon, Daimler, Medtronic, Hulu, Nasdaq, OpenTable, Huel, and Nationwide Building Society have turned to ThoughtSpot to transform their data driven decision-making cultures.Spotters are a curious and data-driven bunch. We believe the world would be a better place if everyone had access to facts, and we enjoy building products and solving problems that make it easier for people to ask and answer questions with data. #J-18808-Ljbffr