Director of Engineering

Director of Engineering

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 in search, AI / ML, or enterprise SaaS is highly valuable.

Responsibilities

Drive Technical Vision & Strategy : shape the future of ThoughtSpot’s Analyst Studio

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 / 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

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, building, using, and staying abreast of the latest developments

Problem solver – inspirational in problem‑solving, algorithmic thinking, and programming skills with computer science fundamentals

Recruiter & team builder – always looking for & hiring top talent, mentoring, and making others better

Platform builder – dedicated to building large‑scale HA infrastructure that supports search applications

Customer obsessed – you build software with customers in mind and aim for happy customers

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 (2% done), 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 continually celebrate the diverse communities that individuals cultivate to empower every Spotter to bring their whole authentic self to work. We’re committed to being real and continuously learning when it comes to equality, equity, and creating space for underrepresented groups to thrive. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.

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