The Role

The Principal Technical Architect – Embedded Analytics is a senior technical leader and architect responsible for guiding the architecture, scalability, and adoption of ThoughtSpot Embedded across global customer engagements.

ThoughtSpot Embedded enables organizations to bring AI-driven analytics directly into their applications and digital products. In this role, you will partner closely with customer product managers, software developers, and engineering teams to design scalable embedded analytics experiences and guide the adoption of ThoughtSpot across modern SaaS platforms and applications.

This role operates as part of a global specialist overlay team supporting embedded analytics opportunities in North America (NA), EMEA, ANZ, and Japan (JPN) across both Enterprise and Commercial segments, providing strategic technical leadership for complex deployments.

The role supports the full customer lifecycle—from acquisition to growth and expansion—by leading embedded analytics evaluations and helping customers deploy and scale ThoughtSpot Embedded within their applications.

Principal Technical Architects also serve as global subject matter experts for embedded analytics, helping scale best practices across the organization and influencing product direction through close collaboration with Product Management and Engineering. 

ThoughtSpot Embedded is a strategic growth area for the company, and this role plays a critical part in helping customers deliver AI-driven analytics experiences directly within their products and applications.

Role Scope

This is a global specialist overlay role focused on ThoughtSpot Embedded (TSE). Principal Technical Architects support the direct sales organization by providing deep technical expertise for strategic embedded analytics opportunities, partnering closely with Account Executives and Solutions Engineers across regions and segments.

Beyond customer engagements, Principal Technical Architects also help scale the embedded analytics business by developing technical assets, reference architectures, and enablement resources that improve efficiency and accelerate the sales motion across the global go-to-market organization.

What You’ll Do:

• Partner with Account Executives (AEs) and Solutions Engineers (SEs) to support strategic ThoughtSpot Embedded (TSE) opportunities globally, providing architectural leadership for Proof of Value (PoV) initiatives.

• Define scalable embedded analytics architectures and integration patterns for customers embedding ThoughtSpot within their SaaS applications and digital products.

• Provide architectural guidance as customers scale ThoughtSpot Embedded deployments and resolve complex technical challenges when they arise.

• Work closely with product managers and software engineers to integrate ThoughtSpot Embedded using APIs, SDKs, and modern application frameworks.

• Serve as the voice of embedded analytics customers to ThoughtSpot Product Management and Engineering.

• Lead strategic initiatives to develop technical assets, tools, and reference architectures that accelerate the ThoughtSpot Embedded sales motion and improve scalability across the global go-to-market organization.

Success in This Role is Measured By:

• Accelerating adoption of ThoughtSpot Embedded within customer applications and SaaS platforms

• Enabling scalable embedded analytics architectures and integrations

• Increasing win rates and driving customer growth through successful embedded analytics deployments

• Scaling embedded analytics expertise and best practices across the global organization

What You Bring:

• 10+ years of experience in enterprise architecture, application architecture, or data platform architecture

• Experience working with SaaS product teams integrating analytics into applications

• Experience supporting complex enterprise deployments and global customer environments

• APIs and developer platforms

• Authentication frameworks (OAuth, SAML, SSO)

• Data governance and security architectures

• Multi-tenant SaaS application environments

• Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)

• SQL and analytical data modeling
   

Nice to Have:

• Experience with embedded analytics platforms

• Integrating analytics into SaaS applications or digital products

• Developer-first analytics platforms and APIs

• Frontend integration of analytics components

• Modern application frameworks and cloud-native architectures
   

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Mandatory and Required Skills for All ThoughtSpot Roles

Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:

• Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.

• Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.

• Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.

• Write effective prompts to get the most accurate and creative results from AI tools.

Spotters are expected to exemplify these key traits and AI Mindset:

• Curiosity in exploring new AI tools

• Adaptability to quickly learn and implement new, emerging AI technologies

• Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.

AI Mindset for All Spotters

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

ThoughtSpot for All

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.

What Makes ThoughtSpot a Great Place to Work?

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. 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 Trust, Customer Obsession, Innovation and Intensity, 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.

About ThoughtSpot

The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.