Responsibilities
Technical Leadership
- 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 24 years in a technical leadership/management role.
- Strong front-end engineering expertise: JavaScript, TypeScript, React, performance optimization, visualization frameworks.
- 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.
