GTM Engineer

The Role

We’re looking for a technical, deeply curious GTM Engineer who thrives at the intersection of go-to-market strategy, systems, automation, and Agentic AI. This role is for someone who doesn’t just use tools—they build, connect, evolve and ensure adoption on them. You have a passion for understanding how modern AI (especially agents) can fundamentally transform GTM workflows, and you actively experiment with and deploy these capabilities in real-world environments.

At ThoughtSpot, we are leveraging AI to reimagine how GTM teams operate—creating intelligent, adaptive workflows that seamlessly connect data, systems, and people. As a GTM Engineer, you will design, build, and scale these workflows using a combination of self-built agents, generative AI, APIs, and best-in-class GTM technologies.  Not only will you build, you will own our full GTM tech stack to integrate, optimize and accelerate our team’s use of technology and AI.

You bring strong technical fluency and a builder mindset. You’ve architected and deployed agents or automated systems that operate across tools, and you’re comfortable working across CRM, seller productivity tools, data platforms, and internal systems. You understand how to translate complex sales, delivery, and RevOps workflows into scalable, AI-powered tech workflows that drive pipeline, improve conversion, and accelerate revenue.

You are equally comfortable going deep in the tech as you are mapping end-to-end GTM processes. You think in systems, not silos—understanding how tools (both built and bought) integrate to support each GTM role. You are motivated by unlocking efficiency and effectiveness through automation, and you continuously look for opportunities to replace manual work with intelligent, agent-driven execution.

Ultimately, you bring a combination of technical craftsmanship, AI curiosity, and GTM empathy—building solutions that make teams faster, smarter, and more impactful.

What You’ll Do:

• Build, buy and manage AI Systems & Tools in GTM

• Ensure the tech stack is optimized for key programs and seller productivity 

• Identify and define high-impact AI use cases, taking them from prototype to full deployment within our CRM and sales workflows.

• Enable the Field Sales and RevOps teams by building internal AI champions, educating stakeholders, and aggressively pushing the adoption of new AI workflows.

• Stay ahead of AI trends and best practices, particularly in Generative AI, LLMs, and agentic systems, to bring cutting-edge strategies to the revenue team.

• Conduct rolling audits of our existing GTM tech stack to maximize the native AI features of the tools we already pay for.

• Support decisions on how to leverage AI to get more out of our GTM systems and better connect them

• Demo, implement and optimize new AI-native tooling capabilities

• Clearly document and articulate tools aligned to workflows, and own the tech stack for GTM

• Drive maximum adoption of our tech stack to GTM stakeholders

• Optimize Systems Performance

• Reduce tech debt and ensure uptime of GTM systems

• Regularly collect feedback from sales and marketing teams to improve efficiency

What You Bring:

• 4-6+ years of experience in GTM Engineering, Business Systems, Revenue Operations, Solutions Engineering, Data Engineering, or similar technical operational roles within B2B SaaS, AI/ML, or high-growth environments.

• strong track record of coding real API integrations, working with MCP servers, building lightweight automations/agents, and manipulating complex data.

• Strong business acumen with a deep understanding of sales cycles, marketing funnels, post-sale delivery, and how data directly influences revenue outcomes.

• Proven track record of taking deep ownership of ambiguous problems and translating raw business requirements into scalable, automated technical solutions.

• Hands-on experience building and deploying AI-enabled workflows, copilots, or agents for business teams using tools like Claude Code or OpenAI agent builder.

• Strong analytical and problem-solving abilities coupled with a high attention to detail.

The estimated annual salary range for this role is $100k - $130k per year. Actual compensation may vary and will be determined based on permissible, non-discriminatory factors such as skills, qualifications, experience, and location of the selected candidate. 

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits.  

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 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 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.

Hybrid Work at ThoughtSpot

Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.

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.

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.