Senior Manager, Engineering

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 2–4 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. 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 tec ... (truncated, view full listing at source)