The Role

As ThoughtSpot's customer base continues to grow, we are looking for an experienced Account Manager to join our team. The right candidate for this position will have a demonstrated history of leading and managing customers and proven success in selling software & services, preferably in the Business Intelligence, Data Warehousing, or Analytics space. Ideally, you have experience leveraging data and AI-driven insights to drive customer growth and retention.

The ability to work independently in a rapidly growing environment is important. We also value the ability to evangelize an evolving, AI-powered product that provides real value to (both!) technical and non-technical audiences. A value-based sales approach and 7first on the ground8 experience is a major advantage.

What You'll Do:

• The Account Manager will develop and manage a territory of enterprise & major customer accounts, with a primary focus on account growth and retention. You will lead the charge to drive growth and expansion for designated customers, leveraging a consultative, data-driven approach.

• Manage complex account lifecycles, owning renewals and expansions while driving a 7land-and-expand8 strategy

• Act as a consultative thought partner to customers, aligning ThoughtSpot6s AI-driven analytics capabilities to business goals and measurable outcomes

• Leverage generative AI and advanced automation to personalize customer engagements at scale, dynamically tailoring outreach, enablement, and account strategies

• Harness AI-driven insights to identify expansion opportunities, adoption gaps, and potential risks across your portfolio

• Utilize advanced analytics to inform account planning, forecast growth, and develop differentiated value propositions for each customer

• Partner closely with Solution Consultants, Professional Services, Adoption, Product, and Leadership teams to execute coordinated, data-informed account strategies

• Maintain strategic oversight of assigned accounts, ensuring engagements achieve intended business outcomes and ROI

• Deliver impactful business reviews and enablement sessions, using data and AI insights to tell a compelling value story

• Continuously refine engagement strategies by leveraging AI-powered analytics on customer usage, engagement trends, and success metrics

• Experiment with emerging technologies (e.g., conversational AI, predictive analytics, autonomous agents) to enhance customer engagement and scale impact

What You Bring:

• Proven track record of expanding relationships and driving revenue growth within complex enterprise accounts

• Experience handling and closing negotiations at scale with rapid pace, particularly across renewals and expansions

• Experience leveraging AI, automation, or advanced analytics to drive customer engagement, retention, and growth strategies

• Track record of driving measurable results through data-driven and AI-informed account management approaches

• Strong consultative mindset with the ability to map customer needs to strategic, outcome-based solutions

• Experience managing stakeholders across technical, business, and executive levels

• Excellent communication skills and ability to build trusted, long-term relationships

• Ability to navigate complex organizations and drive mutual, data-backed account plans

• Passion for helping customers solve problems with technology, particularly through modern data and AI platforms

• Strong business acumen, curiosity, and desire to continuously learn1 especially within evolving AI and analytics landscapes

• Entrepreneurial mindset with strong ownership and accountability for delivering outcomes

• Advanced technical aptitude and ability to deeply understand analytics platforms, AI-driven solutions, and modern data ecosystems

The estimated annual base salary range for this role is $100k 6 $145k in most U.S. locations.

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 it6s 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 ThoughtSpot6s 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 are expected in-office 3 days per week to experience the energy of their local office. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.