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.

Customer Success Manager role focused on driving adoption, engagement, and growth for a portfolio of customer accounts. The role involves building relationships, acting as a strategic advisor, and guiding customers through their journey. Requires strong communication, problem-solving, and understanding of the data/BI space. Emphasizes using AI tools to enhance productivity and quality in daily workflows, including research, content creation, and document summarization, with a required AI mindset of curiosity, adaptability, and critical thinking.

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.

Senior Product Marketing Manager to drive customer and revenue growth by reinforcing market leadership through compelling assets and campaigns. Focuses on enhancing engagement, gathering market insights, and influencing product strategy. Key performance indicators include ARR, adoption, competitive win rates, and expansion plays. Requires strong cross-functional collaboration.

This role focuses on managing and optimizing a community platform, including moderation, engagement, platform operations, and knowledge base management. While the role requires AI literacy and the use of AI tools for productivity, it does not involve building or shipping AI models or agents as its core function. The primary output is a well-managed community platform and knowledge base, which can be considered a product (L6).

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.

ThoughtSpot is seeking a Senior Product Marketing Manager to drive their AI-powered analytics platform's go-to-market strategy. This role involves creating compelling content, evolving product positioning, orchestrating launches for AI features, enabling sales with AI-driven insights, and providing strategic input to product teams. The ideal candidate will have experience leveraging AI/ML in marketing workflows and a strong understanding of B2B SaaS analytics.

Product Marketing Manager for an analytics agent, focusing on positioning, GTM strategy, content, sales enablement, and customer insights to drive growth and adoption. Requires strong understanding of AI concepts and ability to integrate AI tools into daily workflow.

This role is for a Senior Solution Analyst focused on designing, implementing, and delivering Business Intelligence (BI) solutions for enterprise customers using ThoughtSpot's platform. While the company emphasizes AI literacy and integration for all employees, the core function of this role is BI solution delivery, not direct AI/ML model development. The role requires strong technical skills in BI tools, data platforms, and SQL, along with customer-facing and problem-solving abilities. The company positions itself as an 'Agentic Analytics Platform', indicating a mature use of AI within its product offerings.

Customer Success Manager role focused on driving adoption and growth of ThoughtSpot's platform, acting as a strategic advisor to customers. Requires strong communication, problem-solving, and understanding of the data/BI space. Emphasizes proactive customer engagement and translating technical value to business outcomes. All employees are expected to integrate AI into their daily workflows for productivity and quality.

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.

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.

Senior Financial Analyst role focused on GTM financial reporting, SaaS metrics validation, and providing strategic insights. Requires experience in financial analysis within a SaaS environment, proficiency in Google Sheets/Excel, and strong analytical and communication skills. All employees are expected to integrate AI into their daily workflows for productivity and quality.