Own the architecture, scalability, and performance of the Liveboard platform, front-end, service layer, and query integration.
Lead design reviews, drive engineering best practices, and ensure high-quality, maintainable code.
Partner closely with Product to define the technical vision for Liveboard interactivity, performance optimizations, caching, personalization, and AI-driven insights.
Guide the team through complex refactors and migrations (e.g., visualization library updates, Liveboard metadata changes, caching strategies).
Drive observability, reliability, SLO/SLA definitions, and performance instrumentation for Liveboard usage patterns.
Collaborate with AI/LLM teams to integrate intelligent insight generation, natural language interactions, and smart recommendations.
Execution & Delivery
Lead a team of engineers in delivering capabilities across multiple releases with predictable, high-quality execution.
Break down ambiguous feature requirements into technical plans, milestones, and deliverable workstreams.
Improve iteration velocity through better tooling, CI/CD, testing automation, and standardization.
Work closely with SRE to ensure smooth releases, on-call quality, incident analysis, and reliability improvements.
People Leadership
Mentor, coach, and grow engineers; support career development through feedback, performance discussions, and empowerment.
Create a high-performing engineering culture anchored on ownership, accountability, and continuous improvement.
Partner with cross-functional leaders (Product, Design, QA, SRE, Customer Success) to align priorities and remove execution blockers.
Required Qualifications
10+ years of software engineering experience, including 2–4 years in a technical leadership/management role.
Solid backend/service fundamentals with experience in distributed systems, REST/GraphQL, caching, and performance patterns.
Deep experience building complex data/analytics products or consumer-grade interactive UIs.
Ability to lead architecture discussions, make technical decisions, and balance short-term vs. long-term trade-offs.
Proven track record of mentoring engineers, driving execution, and leading teams through technical complexity.
Preferred Qualifications
Experience with analytics, BI, or data visualization products.
Background integrating AI/LLM-based features or building intelligent UX workflows.
Familiarity with Highcharts, D3, or custom charting libraries.
Experience driving reliability, monitoring, and performance optimization in large-scale SaaS.
Comfortable operating in a fast-paced product organization with cross-functional influence.
Hybrid Work At ThoughtSpot
This office-assigned role is available as a hybrid position. Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office requirement of at least three days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.
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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