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About the role
As a Customer Success Engineer at Mercor, your role will involve investigating talent-reported issues end-to-end. You will be responsible for reproducing bugs, identifying root causes, and distinguishing between UX friction, model edge cases, and system defects. Your debugging tasks will span across our AI + SaaS stack, utilizing telemetry, logs, network inspection, and database queries to comprehend production behavior. It will be crucial for you to triage issues with sound judgment, escalating true engineering problems and resolving others through configuration, prompt refinement, or clear user guidance. Additionally, you will need to highlight systemic patterns and product risks to engineering and product leadership. Creating clear documentation and runbooks to minimize recurring issues and enhance resolution speed will be part of your responsibilities. Effective communication with precision, professionalism, and empathy will also be key in this role. Qualifications: Must-Have: - Ability to debug web applications, preferably with a Degree in Computer Science, Software Engineering, or a related technical field from a top-tier institution, or prior experience at a high-growth technology startup. - Experience in building modern web applications such as React, Node, Flask, Next.js, etc., or 2-5 years of experience supporting customers on similar web applications. - Comfortable with AI systems, including experience with LLMs, agents, or generative models. - Familiarity with exploring the behavior of AI tools, such as fine-tuning, prompt chains, chain-of-thought debugging, or building agents. - Ability to understand model outputs, failure modes, hallucinations, and feedback loops. Preferred: - Familiarity with how modern AI APIs work (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function is a plus. Mercor, a company that connects elite creative and technical talent with leading AI research labs, is headquartered in San Francisco. The investors backing Mercor include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. This position is for a Customer Success Engineer based in India, offering a contract type with a compensation range of $25,000$35,000. The role requires a substantial overlap with Pacific Time (PT/PST) as it is a remote position. Please note that our team reviews applications daily. Ensure to complete your AI interview and application steps to be considered for this opportunity. For any further details regarding the interview process and platform information, kindly refer to: https://talent.docs.mercor.com/welcome. In case you need any assistance or support, feel free to reach out to us at support@mercor.com. As a Customer Success Engineer at Mercor, your role will involve investigating talent-reported issues end-to-end. You will be responsible for reproducing bugs, identifying root causes, and distinguishing between UX friction, model edge cases, and system defects. Your debugging tasks will span across our AI + SaaS stack, utilizing telemetry, logs, network inspection, and database queries to comprehend production behavior. It will be crucial for you to triage issues with sound judgment, escalating true engineering problems and resolving others through configuration, prompt refinement, or clear user guidance. Additionally, you will need to highlight systemic patterns and product risks to engineering and product leadership. Creating clear documentation and runbooks to minimize recurring issues and enhance resolution speed will be part of your responsibilities. Effective communication with precision, professionalism, and empathy will also be key in this role. Qualifications: Must-Have: - Ability to debug web applications, preferably with a Degree in Computer Science, Software Engineering, or a related technical field from a top-tier institution, or prior experience at a high-growth technology startup. - Experience in building modern web applications such as React, Node, Flask, Next.js, etc., or 2-5 years of experience supporting customers on similar web applications. - Comfortable with AI systems, including experience with LLMs, agents, or generative models. - Familiarity with exploring the behavior of AI tools, such as fine-tuning, prompt chains, chain-of-thought debugging, or building agents. - Ability to understand model outputs, failure modes, hallucinations, and feedback loops. Preferred: - Familiarity with how modern AI APIs work (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function is a plus. Mercor, a company that connects elite creative and technical talent with leading AI research labs, is headquartered in San Francisco. The investors backing Mercor include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. This position is for a Customer Success Engineer based in India, offering a contract type with a compensation range of $25,000$35,000. The
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