Job description

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 • Multi-tenant SaaS application environments • 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 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. 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.

Requirements

Must-haves

Senior Technical Architect – Embedded Analytics
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.
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.
Technical Expertise
APIs, SDKs, and developer platforms
Frontend integration of analytics components and modern application frameworks
Authentication frameworks and protocols including OAuth and SAML
Multi-tenant SaaS application environments
Data governance and security architectures
Cloud data platforms such as Snowflake, Databricks, BigQuery, and Redshift
SQL and analytical data modeling
$160,000 - $235,000

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigoapisql

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