T

ThoughtSpot

AI-powered analytics platform for data insights

Tech Lead Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A BS or MS in Computer Science or a related field, plus 10+ years of software development experience and 3+ years of experience leading teams.
  • Hands-on experience with, or strong curiosity for, LLM-powered and agentic AI systems, agent frameworks, and operating non-deterministic AI safely and cost-effectively in production.
  • Prior expertise building SaaS platforms and applications.
  • Strong fundamentals in distributed systems design and development.
  • Experience architecting secure, highly available, and performant systems.
  • Experience with one or more programming languages such as Python, TypeScript, JavaScript, Go, or Java.
  • Experience hiring, managing, and growing teams.
  • Ability to integrate AI tools into daily workflows, use LLMs to improve productivity and work quality, and apply AI for research, content creation, and document summarization while retaining ownership of judgment and final decisions.
  • Ability to write effective prompts for AI tools.
  • Curiosity about AI tools, adaptability in learning and implementing emerging AI technologies, and critical judgment about when to use AI versus human judgment.
  • Comfort and fluency using AI tools, including ThoughtSpot AI tools and industry LLMs, in daily work.

Responsibilities

  • Manage and mentor engineers to improve their effectiveness and support their career growth.
  • Drive product quality and stability through hands-on code, design, and test-plan reviews, and by debugging distributed and agentic-system issues.
  • Build operational excellence focused on observability, evaluations, performance, scalability, cloud cost, and security.
  • Architect, design, develop, and operationalize high-performance, scalable, resilient, and secure systems.
  • Collaborate with product and engineering stakeholders to establish service KPIs and own end-to-end delivery and lifecycle management.
  • Identify and help implement appropriate technologies, protocols, and frameworks to deliver efficient solutions.
  • Define the technical strategy and roadmap for improving release and deployment velocity, scale, performance, and reliability of ThoughtSpot services.
  • Provide technical leadership and lead initiatives across global teams.
  • Recruit, inspire, and build teams; develop leaders to advance engineering excellence and deliver projects on time and at high quality.

About the Company

ThoughtSpot

AI-powered analytics platform for data insights

ThoughtSpot provides analytics and business intelligence tools that help people analyze data quickly. Its core product is an AI-powered analytics platform that lets users ask questions in plain language and get fast insights from large data sets. It also offers ThoughtSpot Embedded, which lets developers add analytics directly into their apps. The company uses a subscription-based model and offers services like training and support. ThoughtSpot differentiates itself with fast, AI-driven analytics that can turn large data collections (for example, Excel data spanning 45 days) into actionable insights in minutes, plus a strong community of users and developers that shares knowledge and skills. Its goal is to help organizations become data-fluent and make better decisions by making analytics easy to access and act on.

Company size
1,001-5,000
Company stage
Series F
Total funding
$643.7M
Headquarters
Mountain View, CA
Founded
2012

Recently Posted Jobs

Explore more opportunities at ThoughtSpot

See more jobs