Director of Engineering - Analyst Studio

About the 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, and 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 with search, AI/ML, or enterprise SaaS would be highly valuable.

What you'll do:

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 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.

What you bring:

• 2 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.