ThoughtSpot

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.

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.

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.

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.

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.

This Site Reliability Engineering role focuses on ensuring the reliability of a SaaS platform by leveraging AI/ML for proactive observability, predictive anomaly detection, and intelligent alerting. The role also involves customer-facing technical support and incident management, with a strong emphasis on integrating AI tools into daily SRE workflows.

This role focuses on building and scaling SQL generation pipelines to transform raw information into actionable intelligence. It involves developing backend systems, improving query accuracy and performance, and incorporating AI/ML and LLM trends into query generation solutions. The role requires strong software engineering skills, proficiency in Java and SQL, and experience with distributed systems and AWS.

This role is for a frontend engineer at an AI-driven analytics company. The engineer will build frontend experiences for intelligent analytics products, working across the stack from API to UI. While the company is AI-driven and employees are expected to use AI tools in their daily workflow, the core craft of this role is frontend engineering, not building AI models or systems.

Principal Engineer to own the architecture and evolution of a multi-tenant SaaS cloud platform, focusing on control plane and data plane systems, distributed systems, and cloud infrastructure. The role involves designing, building, and mentoring, with a strong emphasis on using AI coding assistants for infrastructure tasks.

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.

This role is for a Senior Manager, Engineering at ThoughtSpot, focusing on the Liveboard platform. The responsibilities include technical leadership in architecture, scalability, and performance, partnering with Product on AI-driven insights and personalization, and leading a team for execution and delivery. A significant emphasis is placed on AI literacy and integrating AI tools into daily workflows for productivity and quality, although the core craft is not AI/ML model building.

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.

This role is for a Member of Technical Staff 3 on the Cloud Platform team, focusing on the development, operation, and reliability of a multi-tenant SaaS platform. Responsibilities include building and maintaining backend systems and cloud infrastructure, implementing features for tenant provisioning and cluster operations, writing production-quality code, debugging production issues, and improving system reliability and operability. The role requires hands-on experience with cloud platforms (AWS, GCP, Azure), infrastructure as code, containerized workloads, backend programming, distributed systems, and observability tools. A key aspect is the mandatory integration and use of AI coding assistants and AI tools in daily workflows to enhance productivity and quality, demonstrating an 'AI mindset' with curiosity, adaptability, and critical thinking.

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.