Production Engineer

Production Engineer – Production Ops & AI ToolingThe Production Engineer (PE) at ThoughtSpot is a hybrid role combining deep production engineering expertise with hands-on production operations (ProdOps) and AI-driven tool development. This role is responsible for driving operational excellence in production environments, accelerating issue resolution, and proactively improving supportability through automation and AI-powered solutions.Key ResponsibilitiesAct as the primary engineering liaison for SREs and ProdOps, providing expert knowledge of product architecture, production workflows, and operational best practices.Develop, implement, and maintain AI-powered tools and automation to streamline ProdOps processes, reduce manual intervention, and improve system reliability.Analyze recurring production issues, identify patterns, and build AI/ML-based solutions or scripts to proactively detect, triage, and resolve incidents.Own initial triage of customer-found defects, ensuring all necessary information is collected before escalating to the appropriate engineering team, and often resolving or providing workarounds directly.Collaborate with SREs, developers, and other stakeholders to ensure robust, production-ready solutions and best practices are adopted across the organization.Maintain and enhance knowledge bases, SOPs, and documentation for recurring issues, workflows, and AI/automation tools.Participate in exit reviews for product epics to ensure feature and documentation quality, with a focus on operational readiness and coverage of automation.Reduce Mean Time To Resolution (MTTR) for production issues by leveraging automation, AI, and streamlined workflows.QualificationsStrong background in production engineering, production operations, and large-scale distributed systems.Proven experience developing and deploying automation and AI/ML tools for ProdOps use cases (e.g., anomaly detection, automated triage, self-healing scripts).Excellent communication, documentation, and cross-functional collaboration skills.Experience in support engineering, SRE, or a similar liaison role is preferred.Familiarity with cloud architectures, analytics platforms, and modern AI/ML frameworks is a plus.This position is ideal for engineers who want to combine operational excellence with cutting-edge AI/automation, driving the next generation of production reliability and supportability at ThoughtSpot.What makes ThoughtSpot a great place to work?ThoughtSpot is the experience layer of the modern data stack, leading the industry with our AI-powered analytics and natural language search. 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 Selfless Excellence and our drive for continuous improvement (2% done), 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.ThoughtSpot for AllBuilding a diverse and inclusive team isn't just the right thing to do for our people, it's the right thing to do for our business. We know we can't solve complex data problems with a single perspective. It takes many voices, experiences, and areas of expertise to deliver the innovative solutions our customers need. At ThoughtSpot, we continually celebrate the diverse communities that individuals cultivate to empower every Spotter to bring their whole authentic self to work. We're committed to being real and continuously learning when it comes to equality, equity, and creating space for underrepresented groups to thrive. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.