Cerebras
OverviewThe Role ThoughtSpot 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.
Responsibilities
Drive 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 with cross-functional teams to align technical goals with business objectives. Foster a High-Performance Culture: Attract, retain, and mentor top-tier engineering talent.
Required skills/qualifications
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. Hands-on, capable of 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, discuss it, build it, use it, and stay abreast of the latest developments. Problem solver - You are inspirational in problem-solving, algorithmic thinking, and programming fundamentals. Recruiter & team builder - You are always looking for the best talent and enjoy mentoring others. Platform builder - You understand the importance of search and scaling large-scale infrastructure. Customer obsessed - You make customers successful and go out of your way to help them.
What makes ThoughtSpot a great place to work? ThoughtSpot is the experience layer of the modern data stack, leading the industry with our AI-powered analytics and natural language search. 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 Selfless Excellence and our drive for continuous improvement, 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. ThoughtSpot for All Building a diverse and inclusive team isn’t just the right thing to do for our people, it’s the right thing to do for our business. We know we can’t solve complex data problems with a single perspective. It takes many voices, experiences, and areas of expertise to deliver the innovative solutions our customers need. At ThoughtSpot, we celebrate diverse communities that individuals cultivate to empower every Spotter to bring their whole authentic self to work. We’re committed to equality and continuous learning. If you believe you can do the job and are a good match, we encourage you to apply. #J-18808-Ljbffr
Drive 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 with cross-functional teams to align technical goals with business objectives. Foster a High-Performance Culture: Attract, retain, and mentor top-tier engineering talent.
Required skills/qualifications
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. Hands-on, capable of 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, discuss it, build it, use it, and stay abreast of the latest developments. Problem solver - You are inspirational in problem-solving, algorithmic thinking, and programming fundamentals. Recruiter & team builder - You are always looking for the best talent and enjoy mentoring others. Platform builder - You understand the importance of search and scaling large-scale infrastructure. Customer obsessed - You make customers successful and go out of your way to help them.
What makes ThoughtSpot a great place to work? ThoughtSpot is the experience layer of the modern data stack, leading the industry with our AI-powered analytics and natural language search. 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 Selfless Excellence and our drive for continuous improvement, 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. ThoughtSpot for All Building a diverse and inclusive team isn’t just the right thing to do for our people, it’s the right thing to do for our business. We know we can’t solve complex data problems with a single perspective. It takes many voices, experiences, and areas of expertise to deliver the innovative solutions our customers need. At ThoughtSpot, we celebrate diverse communities that individuals cultivate to empower every Spotter to bring their whole authentic self to work. We’re committed to equality and continuous learning. If you believe you can do the job and are a good match, we encourage you to apply. #J-18808-Ljbffr