Customer Success Engineer

About the Team The Support team at Perplexity AI is the frontline of our user experience, dedicated to ensuring that our AI-powered search and question-answering platform delivers exceptional value to our diverse user base. We work tirelessly to understand user needs, resolve issues, and gather insights that drive product improvements. Our team collaborates closely with Product, Technical staff, and other departments to continuously enhance the user experience and maintain the high standards of our innovative AI technology. About the Role We are seeking a talented Customer Success Engineer to join our team and collaborate directly with our strategic enterprise accounts. In this role, you will be at the forefront of solving challenging technical problems faced by our customers. As a key member of our technical troubleshooting team, you will provide expert guidance to both our customers and internal teams on complex issues within our environment. Your contributions will be vital in building knowledge within the team and driving strategic initiatives for organizational and process improvements. Key Responsibilities - Become one of the foremost technical experts for our API and product offerings at Perplexity AI. - Serve as the dedicated technical resource and advocate for our most important API and product customers, providing in-depth troubleshooting assistance and educating them on optimal use of our platforms. - Partner with the Enterprise, Mobile, and API teams to resolve issues, engaging leaders internally or with customers and coordinating resources across multiple teams as needed. - Translate learnings from customer issues into scalable solutions, working with Engineering, Customer Experience and Go-To-Market teams to implement improvements and automations. - Build strong relationships with customer leaders and operators to ensure the success of their applications. Essential Qualifications - 7+ years of experience in software engineering or similar roles, with a focus on application development, tooling and automation. - Excellent proficiency in Python/NodeJS and developing scalable applications. - Good knowledge of a Cloud Service Provider (e.g. AWS) platform. - Hands-on experience in using Agentic Coding (Claude Code, Codex etc.). - Bachelor’s degree in Computer Science or a related field. - Proven ability to identify technical pain points in both our solutions and our customers’ implementations. Would be nice to have - Strong track record of building relationships with customers and cross-functional teams to drive performance improvements. - Humble attitude, eagerness to help others, and willingness to acquire new knowledge to support team and customer success. - Ability to operate with high efficiency, adeptly switch between contexts, work on multiple projects simultaneously, and prioritize effectively. - Experience building prototypes or applications using AI-powered APIs, with a deep understanding of the AI and search technology landscape. - Preference for short, deep-dive projects that involve chasing down problems and understanding diverse use cases.

Essential Qualifications: 7+ years of experience in software engineering or similar roles, with a focus on application development, tooling and automation. Excellent proficiency in Python/NodeJS and developing scalable applications. Good knowledge of a Cloud Service Provider (e.g. AWS) platform. Hands-on experience in using Agentic Coding (Claude Code, Codex etc.). Bachelor’s degree in Computer Science or a related field. Proven ability to identify technical pain points in both our solutions and our customers’ implementations.

Key Responsibilities: Become one of the foremost technical experts for our API and product offerings at Perplexity AI. Serve as the dedicated technical resource and advocate for our most important API and product customers, providing in-depth troubleshooting assistance and educating them on optimal use of our platforms. Partner with the Enterprise, Mobile, and API teams to resolve issues, engaging leaders internally or with customers and coordinating resources across multiple teams as needed. Translate learnings from customer issues into scalable solutions, working with Engineering, Customer Experience and Go-To-Market teams to implement improvements and automations. Build strong relationships with customer leaders and operators to ensure the success of their applications.