Technical Lead Manager

ThoughtSpot is a Data & AI platform that helps companies turn data into enterprise advantage. We're Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.

About the Role

ThoughtSpot is seeking a Tech Lead Manager to build and scale its product-led growth (PLG) engineering initiatives across free trials, AI-powered onboarding, developer-focused offerings, and self-serve customer experiences. This role combines technical leadership, people management, and strategic execution to drive product adoption, improve user activation, reduce time-to-value, and increase conversion. You will partner closely with product, marketing, and go-to-market teams to deliver scalable, reliable, and personalized experiences that accelerate growth.

What You’ll Do

• Lead and grow the engineering team: Hire, mentor, and develop engineers while fostering a culture of ownership, collaboration, quality, and continuous learning.
• Drive PLG engineering initiatives: Own the technical roadmap and execution for free trial experiences, AI-powered onboarding, developer offerings, and self-serve customer licenses.
• Integrate AI into product experiences: Build LLM-powered onboarding and personalization capabilities, making architectural decisions around prompt engineering, model selection, cost optimization, latency, and reliability.
• Collaborate cross-functionally: Partner with Product, Product Marketing, Marketing, and Go-to-Market teams to align priorities, communicate trade-offs, and influence product strategy.
• Drive experimentation and growth: Build experimentation capabilities and optimize product-qualified leads (PQLs), activation, conversion, retention, and engagement through continuous iteration.
• Ensure operational excellence: Maintain the reliability of trial provisioning, data accuracy, monitoring, and incident response across the PLG platform.
• Shape long-term technical strategy: Balance near-term delivery with platform scalability, technical debt reduction, and infrastructure investments to support future growth.

What You’ll Bring

• 8+ years of software engineering experience, including at least 1 year of engineering team management experience.
• Strong technical proficiency in Java or TypeScript.
• Proven experience building product-led growth (PLG) or self-serve products, with a deep understanding of activation metrics, onboarding friction, conversion, and retention.
• Full-stack technical expertise across frontend, backend, data pipelines, and integrations.
• Hands-on experience shipping AI/ML features in production, including LLM integrations, prompt engineering, model APIs, and cost-latency-reliability trade-offs.
• Experience building experimentation infrastructure and improving engineering velocity through iterative development.
• Strong cross-functional collaboration, stakeholder management, and communication skills, with the ability to influence product decisions and articulate technical trade-offs.
• A track record of delivering high-quality software on time while balancing speed, scalability, and reliability.
• Comfort working in ambiguous, fast-paced environments with a resourceful and iterative approach.
• Bonus: Experience building developer-facing products or platforms, working at high-growth SaaS or analytics companies, using product analytics tools such as Mixpanel or Amplitude, or scaling systems to millions of users.

In-Office at ThoughtSpot

Spotters are expected in-office 3+ days per week to be part of the energy of their local team. Momentum compounds when we're in the room together with faster decisions, sharper problem-solving, and the kind of peer learning that doesn't happen over a screen. Being in-office is our default way of working, with flexibility available where it's genuinely needed.

About ThoughtSpot

The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.

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 AI into their daily workflows 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 possess an AI Mindset:

• 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

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.

AI Mindset for All Spotters

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot’s AI tools (like AgentSpot, Spotter, and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner.

We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

ThoughtSpot for All

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.

What Makes ThoughtSpot a Great Place to Work?

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. 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 Trust, Customer Obsession, Innovation and Intensity, 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.