Director of Engineering

This range is provided by ThoughtSpot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$250,000.00/yr - $300,000.00/yrDirect message the job poster from ThoughtSpotWith ThoughtSpot’s next-generation Search & AI-driven analytics platform, business people can type a simple Google-like search in natural language to instantly analyze billions of rows of data, and leverage artificial intelligence to get trusted, relevant insights (at the speed of thought!) pushed to them as answers to thousands of questions they might not have thought to ask. ThoughtSpot is simple enough for any business person to use, yet powerful enough to handle even the largest, most complex enterprise data without sacrificing speed, security, or governance.At ThoughtSpot, we solve some of the hardest, most challenging problems in technology. The kind of problems we solve require diverse perspectives and the team-spirit to see those differences as opportunities rather than roadblocks. It’s why diversity isn’t a box to check; it’s the heart of “Selfless Excellence,” our core value we live every day. To make our dent in the universe, we seek employees with unique identities, backgrounds, and perspectives that want to build an inclusive, respectful company culture, and truly challenge the status quo.The RoleThoughtSpot 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.ResponsibilitiesDrive Technical Vision & Strategy: Shape the future of ThoughtSpot’s Analyst Studio platform by collaborating with product management, design, and executive leadership.Lead and Scale Engineering Team: Lead, mentor, and grow a high-performing team of backend, ML/AI, and frontend engineers.Architect for Scale: Oversee scalable system design for semantic layers, data pipelines, and AI/LLM-driven transformation services.Innovate in AI & Analytics: Guide implementation of LLM-based data enrichment, automated data profiling, tagging, and ontology mapping.Build for high quality: Champion best practices in reliability, security, testing, and observability.Ensure Security & Compliance: Drive best practices for cloud security, data privacy, and compliance with industry standards.Collaboration & Stakeholder Management: Work closely with cross-functional teams, including product, UX, and customer success, to align technical goals with business objectives.Foster a High-Performance Culture: Attract, retain, and mentor top-tier engineering talent.Required skills/qualifications12+ 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…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.Seniority levelDirectorEmployment typeFull-timeJob functionBusiness Development and SalesIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at ThoughtSpot by 2xGet notified about new Director of Engineering jobs in Mountain View, CA.Medical insuranceDisability insurancePaid paternity leavePaid maternity leaveWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr