Senior Technical Architect

ThoughtSpot; Mountain View (CA); Remote; USD 160,000 - 235,000; Full time

Job summary

ThoughtSpot is seeking a Senior Technical Architect for Embedded Analytics in a remote capacity across North America. You will partner with sales and customer teams, lead technical engagements, and drive integration patterns across SaaS platforms with a focus on security, multi-tenancy, and data governance.

You bring 5+ years in enterprise or data-architecture roles, hands-on API/SDK work, and experience with cloud data platforms.

Qualifications

• Experience with APIs, SDKs, and developer platforms.
• Frontend integration with analytics components and modern frameworks.
• Knowledge of authentication protocols including OAuth and SAML.
• Ability to design data governance and security architectures.
• Experience with Snowflake, Databricks, BigQuery or Redshift.
• Strong SQL skills and analytical data modeling.

Responsibilities

• Partner with AEs and Solutions Engineers on TSE opportunities and Renewals.
• Guide customers on integrating TSE into applications via APIs/SDKs.
• Provide architectural guidance and best practices for deployments.
• Voice of the customer to influence product and roadmap.
• Create technical assets, reference architectures, and reusable patterns.

Skills

APIs & SDKs

Frontend integration

OAuth & SAML

Data governance

Cloud data platforms

SQL & data modeling

Job description

Senior Technical Architect

ThoughtSpot Mountain View, California, United States

About this position

ThoughtSpot is a Data & AI platform that helps companies turn data into enterprise advantage. We're Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.

Senior Technical Architect – Embedded Analytics

About the Role

The Senior Technical Architect – Embedded Analytics is a specialist who partners with Account Executives, Solutions Engineers, and Customer Outcomes on ThoughtSpot Embedded Analytics (TSE) opportunities, serving as the go-to expert for embedded analytics. You are the person customers and internal teams turn to when the work gets technical. That means integration patterns, API and SDK implementation, and recommending best practices for how TSE should be implemented within their application. You bring that depth and expertise across new business, expansions, and renewals, and take the voice of the customer back to Product and Engineering to help shape the roadmap.

TSE enables organizations to bring AI-powered analytics directly into their SaaS platforms and digital products. This role is part of a specialist team supporting opportunities across Enterprise, Commercial, and SMB segments in North America, spanning all industries.

What You’ll Do

• Partner with Account Executives and Solutions Engineers on new and expansion TSE opportunities, and with Customer Outcomes on renewals, providing technical leadership for Proof of Value initiatives and beyond.
• Guide customers on integrating TSE into their applications, working directly with their product managers and software engineers on API and SDK implementation, Authentication/SSO, multi-tenancy, and data security patterns.
• Provide architectural guidance, best practices, and solutioning as customers expand their TSE deployments and troubleshoot technical challenges as they arise.
• Bring the voice of the customer back to Product and Engineering to help shape the TSE roadmap.
• Build and contribute to technical assets, reference architectures, and reusable integration patterns that help the broader team move faster on TSE opportunities.

What We Measure

• Increasing win rates through successful Proof of Value engagements and technical evaluations.
• Accelerating adoption of TSE within customer SaaS platforms and digital products.
• Delivering integrations and architectures that hold up as customers grow.
• Sharing embedded analytics expertise and best practices that make the team around you better.

Who You Are

You have 5+ years of experience in enterprise architecture, application architecture, or data platform architecture. You have worked with SaaS product teams integrating analytics into applications and are comfortable doing the hands-on integration work, not just advising on it. You have real experience with APIs, SDKs, and frontend integration, and have supported enterprise deployments and customer environments.

Technical Expertise

• APIs, SDKs, and developer platforms
• Frontend integration of analytics components and modern application frameworks
• Authentication frameworks and protocols including OAuth and SAML
• Data governance and security architectures
• Cloud data platforms such as Snowflake, Databricks, BigQuery, and Redshift
• SQL and analytical data modeling

Nice to Have

• Prior experience with an embedded analytics platform such as Tableau, Looker, Sigma, Omni, or Sisense Embedded
• Experience building or shipping analytics features within a SaaS product
• Familiarity with cloud-native architectures and containerized deployment environments

The Salary Range for this role is:
$160,000 - $235,000

• #LI-Hybrid
• #LI-BN1

Remote Work at ThoughtSpot

This role is available as a remote position.

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.

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.