Senior Manager, Engineering

ThoughtSpot ThoughtSpot · Data AI · Trivandrum, India

This role is for a Senior Manager, Engineering at ThoughtSpot, focusing on the Liveboard platform. The responsibilities include technical leadership in architecture, scalability, and performance, partnering with Product on AI-driven insights and personalization, and leading a team for execution and delivery. A significant emphasis is placed on AI literacy and integrating AI tools into daily workflows for productivity and quality, although the core craft is not AI/ML model building.

What you'd actually do

  1. Own the architecture, scalability, and performance of the Liveboard platform, front-end, service layer, and query integration.
  2. Lead design reviews, drive engineering best practices, and ensure high-quality, maintainable code.
  3. Partner closely with Product to define the technical vision for Liveboard interactivity, performance optimizations, caching, personalization, and AI-driven insights.
  4. Collaborate with AI/LLM teams to integrate intelligent insight generation, natural language interactions, and smart recommendations.
  5. Mentor, coach, and grow engineers; support career development through feedback, performance discussions, and empowerment.

Skills

Required

  • 10+ years of software engineering experience
  • 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

Nice to have

  • 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

What the JD emphasized

  • AI literacy and workflow integration
  • integrate artificial intelligence into their daily workflow to increase productivity and quality
  • leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality
  • using AI for research, content creation, and document summarization
  • write effective prompts to get the most accurate and creative results from AI tools
  • 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
  • AI mindset