| Title | Stage | AI score |
|---|---|---|
| Senior Customer Success Manager Senior Customer Success Manager role focused on driving adoption and success for top-tier customer accounts by building relationships, delivering value, and acting as a customer champion. The role requires understanding customer needs, collaborating across departments, identifying growth opportunities, and presenting solutions. While not directly building AI, the role requires strong AI literacy and the ability to leverage AI tools for productivity and problem-solving within the customer success context. | — | 5 |
| Senior Integrated Marketing Manager This role is for a Senior Integrated Marketing Manager at ThoughtSpot, focusing on driving strategy, development, and optimization of global marketing campaigns targeted at Data and product leadership. The role requires collaboration with various marketing and sales teams, defining success metrics, and reporting on campaign effectiveness. While the company is AI-focused and expects employees to use AI tools in their daily workflow, this specific role is in marketing and does not involve building or shipping AI models. | — | 5 |
| Partner Development Manager This role is a Partner Development Manager focused on driving adoption of ThoughtSpot's Search & AI-Driven analytics platform. It involves building and managing partner networks to increase revenue and customer success. The role leverages AI and advanced analytics to identify opportunities, optimize go-to-market strategies, and enable data-driven decision-making within the partner ecosystem. While the company's product is AI-driven, the role itself is sales-focused and does not involve shipping ML models or core AI development. | — | 5 |
| Senior Enterprise Account Executive This role is for a Senior Enterprise Account Executive at ThoughtSpot, a company that sells Business Intelligence and Analytics applications. The primary focus is on selling software to enterprise organizations. While the role heavily emphasizes the use of generative AI and advanced automation tools to personalize customer engagements, analyze data, and optimize sales strategies, the core craft of the role is sales, not building or shipping AI models or agents. The company itself is scaling its AI capabilities and expects all employees to be AI-literate and integrate AI tools into their daily workflows. | — | 5 |
| Regional Director, Sales - West Regional Director of Enterprise Sales leading a team to drive new business. Leverages generative AI, predictive analytics, and automation to optimize sales processes, territory planning, account prioritization, and pipeline management. Focuses on AI-augmented coaching, forecasting, and deal execution to maximize revenue and strengthen customer relationships. Requires experience in enterprise sales leadership and leveraging AI for sales performance optimization. | — | 5 |
| Director, CS and PS Operations ThoughtSpot is seeking a Director of Customer Operations to scale and modernize its Customer Success and Professional Services functions. This role will design systems, processes, and insights leveraging data, automation, and AI to improve team productivity, customer visibility, and engagement. Key responsibilities include owning customer operations strategy, building scalable systems, operationalizing AI in post-sales (health scoring, risk prediction, next-best action), developing insights and forecasts, optimizing customer segmentation and coverage, managing the CS tech stack with AI-enabled platforms, enabling CSMs with AI-driven guidance, refining customer health frameworks, and ensuring cross-functional alignment. The role requires strong fluency in data, analytics, and AI-driven tools, with a builder mindset and experience scaling post-sales functions. | — | 5 |
| Member of Technical Staff 2 This role focuses on building and enhancing frontend and backend systems for an AI-powered analytics platform. While the company heavily emphasizes AI literacy and the use of AI tools for productivity across all roles, the core responsibilities of this specific position involve traditional software engineering tasks such as feature development, coding, debugging, and system architecture collaboration. The role requires 1-2 years of experience in modern programming languages and a strong CS foundation. The company's product is an 'Agentic Analytics Platform' which implies AI is integral to the product, but the role itself is not directly building or researching AI models or systems. | — | 5 |
| Sales Development Representative This role is for an Inbound Sales Development Representative (SDR) who will be the first point of contact for prospective customers. The role involves qualifying inbound interest, uncovering business needs, and converting engagement into high-quality pipeline. It emphasizes leveraging data, automation, and generative AI tools to engage buyers in a personalized way, and requires the candidate to integrate AI into their daily workflow for productivity and quality. | — | 5 |
| Executive Assistant Executive Assistant role supporting ThoughtSpot executives, managing calendars, coordinating meetings, supporting communications, and handling administrative and project coordination responsibilities. Requires strong discretion and ability to manage confidential projects. All employees are expected to integrate AI into their daily workflow for productivity and quality, including using AI for research, content creation, and document summarization. | — | 5 |
| Executive Assistant & Office Manager Executive Assistant & Office Manager role supporting senior GTM leaders and managing office operations. Requires AI literacy to integrate AI tools into daily workflows for increased productivity and quality, including prompt writing for research, content creation, and document summarization. The role emphasizes curiosity, adaptability, and critical thinking regarding AI tool usage. | — | 5 |
| Senior Member of Technical Staff Senior Engineer to join Cloud Platform team, taking ownership of architecture and evolution of a multi-tenant SaaS platform. Focus on backend engineering and cloud infrastructure, designing and building systems for control plane and data plane at scale. Role involves technical leadership, architecture decisions, mentoring, and partnering with product/infrastructure leaders. | — | 5 |
| Manager, Sales Development ThoughtSpot is seeking a Sales Development Manager to lead and scale their SDR team. The role focuses on driving pipeline generation through inbound, outbound, and product-led motions, leveraging AI, automation, and data to enhance engagement and efficiency. The manager will hire, coach, and lead the team, track performance metrics, and implement tools and processes for scale. While the core function is sales development, the role emphasizes the use of AI tools for productivity and requires an "AI mindset" of curiosity, adaptability, and critical thinking in applying AI. The company itself is an AI-powered analytics platform. | — | 5 |
| Enterprise Account Executive Enterprise Account Executive role focused on selling software applications, ideally Business Intelligence, Data Warehousing, or Analytics. The role requires leveraging generative AI and advanced automation to personalize customer engagements, analyze data, and optimize sales messaging. Experience partnering with AI/ML product teams or using AI technologies in enterprise sales is a must. The role emphasizes a hunter's mentality, closing new business, and managing complex deal cycles. | — | 5 |
| Director, New Business Agentic Products Founding seller for a new agentic AI product line within an enterprise software company. This role involves owning the full sales cycle, developing the GTM playbook, engaging with C-level buyers, and collaborating with product and marketing. The ideal candidate has deep fluency in agentic AI, a builder mentality, and experience selling enterprise software. This role has a clear path to GTM leadership. | — | 5 |
| Senior Product Marketing Manager Senior Product Marketing Manager to own the go-to-market lifecycle for the company's agentic analytics platform offerings, shaping how new capabilities reach buyers and creating narratives, content, and sales motions. The role requires building from zero, operating at the frontier of product strategy, and driving new product adoption and pipeline generation. While the role heavily involves AI concepts and tools, the core function is product marketing, not direct AI/ML model development or research. | — | 5 |
| Commercial Account Manager Commercial Account Manager at ThoughtSpot, a company selling an AI-powered analytics platform. The role focuses on managing enterprise accounts, driving growth and retention by leveraging AI-driven insights and tools to personalize customer engagements, identify opportunities, and inform account strategies. Requires experience using AI for customer engagement and a strong understanding of AI-driven solutions. | — | 5 |
| Commercial Account Executive Commercial Account Executive at ThoughtSpot, responsible for selling software and services, preferably in the Business Intelligence, Data Warehousing, or Analytics space. The role requires pipeline generation, prospecting, developing new opportunities, establishing trust with stakeholders, conducting product demonstrations, and managing complex sales cycles. A key aspect is the mandatory integration of AI tools into daily workflows for increased productivity and quality, including using LLMs for research, content creation, and summarization, and demonstrating curiosity, adaptability, and critical thinking regarding AI. | — | 5 |
| Enterprise Account Executive Enterprise Account Executive role focused on selling software applications, ideally Business Intelligence, Data Warehousing, or Analytics. The role emphasizes leveraging generative AI and advanced automation to personalize customer engagements, analyze data, and optimize sales messaging. Requires a hunter's mentality, a track record of quota over-achievement, and experience selling within the Business Insights & Analytics Industry. Experience partnering with AI/ML product teams or participating in early-access/beta programs for new AI technologies is required. The company mandates AI literacy and workflow integration for all roles, expecting employees to use AI tools to increase productivity and quality. | — | 5 |
| Enterprise Account Executive Enterprise Account Executive role focused on selling software applications, ideally Business Intelligence, Data Warehousing, or Analytics. The role emphasizes leveraging generative AI and advanced automation to personalize customer engagements, analyze data, and optimize sales messaging. Requires a hunter's mentality, a track record of quota over-achievement, and experience selling within the Business Insights & Analytics Industry. Experience partnering with AI/ML product teams or participating in early-access/beta programs for new AI technologies is required. The company mandates AI literacy and workflow integration for all roles, expecting employees to use AI tools to increase productivity and quality. | — | 5 |
| Enterprise Account Executive Enterprise Account Executive role focused on selling software applications, ideally Business Intelligence, Data Warehousing, or Analytics. The role requires leveraging generative AI and advanced automation to personalize customer engagements, analyze data, and optimize sales messaging. While the role heavily utilizes AI tools, the core function is sales, not building AI models. | — | 5 |
| Senior Financial Analyst This role is for a Senior Financial Analyst who will be responsible for driving financial performance and shaping key business decisions. The role involves collaborating with cross-functional leaders to develop financial models, provide insights, and influence strategic initiatives. Key responsibilities include financial modeling, business insights and SaaS metrics analysis, cash projections, reporting, cross-functional partnership, and supporting strategic initiatives. The role requires 3-5 years of experience in a related analytical field, strong financial modeling expertise, and excellent analytical and communication skills. A key requirement for all roles at ThoughtSpot is AI literacy and the ability to integrate AI tools into daily workflows for productivity and quality. | — | 5 |
| Customer Success Manager Customer Success Manager role focused on driving adoption and success for top-tier customer accounts by building relationships, delivering value, and acting as a customer champion. The role requires understanding customer needs, learning technical nuances, collaborating across departments, identifying growth areas, and presenting effectively. A strong understanding of the BI space and related technologies is necessary, with a deep interest in AI and Agentic Analytics technologies. All employees are expected to integrate AI into their daily workflows for productivity and quality, including writing effective prompts and demonstrating curiosity and critical thinking regarding AI tools. | — | 5 |
| Commercial Account Executive Commercial Account Executive role focused on selling software and services, preferably in Business Intelligence, Data Warehousing, or Analytics. Requires a strong sales background, ability to work independently, and a value-based sales approach. The role emphasizes pipeline generation, prospecting, and managing complex sales cycles. A key requirement across all roles at ThoughtSpot is AI literacy, including the ability to integrate AI tools into daily workflows for productivity and quality, write effective prompts, and demonstrate curiosity and adaptability towards new AI technologies. | — | 5 |
| VP, Customer Success and Growth ThoughtSpot is seeking a VP of Customer Success and Growth to lead their global post-sales organization, focusing on customer value realization, net revenue retention, and driving growth through AI-driven business intelligence. This senior leadership role requires scaling the organization, developing talent, and ensuring customers achieve measurable outcomes. | — | 5 |
| Commercial Account Executive Commercial Account Executive role focused on selling software and services in the Business Intelligence, Data Warehousing, or Analytics space. Requires 2+ years of quota carrying experience in technology sales and the ability to work independently in a rapidly growing environment. The role involves pipeline generation, prospecting, conducting product demonstrations, and managing complex sales cycles. While not directly building AI, the role requires strong AI literacy and the ability to integrate AI tools into daily workflows for productivity and quality improvement, including prompt writing and understanding when to use AI versus human judgment. | — | 5 |
| VP, Growth Marketing ThoughtSpot is seeking a VP of Growth Marketing to lead strategy, performance, and execution across web, paid media, demand generation, and content. This senior leadership role focuses on building demand in a B2B SaaS environment, driving awareness, engagement, pipeline creation, and revenue. The candidate will own digital and demand programs, partner cross-functionally, and build/lead a high-performing team. While the role is not directly building AI, it requires AI literacy and the ability to leverage AI tools for productivity and content creation, with a strong emphasis on AI reshaping content, digital execution, and growth strategy. | — | 0 |
| Compensation Business Partner ThoughtSpot is seeking a Compensation Business Partner to join their Total Rewards team. This role involves designing, implementing, and advising on compensation programs to attract, retain, and engage talent in North America. The position requires partnering with managers and HRBPs, designing compensation structures, leading market analysis, managing compensation cycles, and monitoring regulatory requirements. The role also involves using advanced analytics and presenting data-driven insights. A key requirement for all ThoughtSpot roles is AI literacy and the ability to integrate AI tools into daily workflows for increased productivity and quality, including writing effective prompts and demonstrating curiosity, adaptability, and critical thinking regarding AI usage. | — | 0 |