- Experience
- 2–5 yrs
- Salary
- USD 20,000 – USD 35,000 / year
- Openings
- 1
- Posted
- 1 hour ago
- Work mode
- Work from home
- Education
- B.Tech
- Eligibility
- Professionals in India with the technical background and AI/web application support experience described above can apply.
- Resume
- Required to apply
Job description
About the Role
Mercor is a company that connects top creative and technical professionals with leading AI research labs. The organization is based in San Francisco and is backed by investors such as Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position Overview
The opening is for a Customer Success Engineer in India. This is a remote contract opportunity with compensation in the range of $20,000 to $35,000 per year.
What You’ll Be Doing
- Work through talent-reported problems from start to finish by reproducing issues, finding the underlying cause, and distinguishing between interface friction, AI model edge cases, and true system defects.
- Use telemetry, logs, network analysis, and database queries to troubleshoot behavior across the AI and SaaS product stack.
- Make careful triage decisions: route genuine engineering problems to the right teams and solve other cases through configuration updates, prompt improvements, or straightforward user guidance.
- Identify recurring patterns and product-level risks, then communicate them to engineering and product leadership.
- Build and maintain documentation and runbooks that help reduce repeated issues and speed up resolution.
- Handle customer communication in a clear, professional, and empathetic manner.
What We’re Looking For
Candidates should be able to debug web applications and either hold a degree in Computer Science, Software Engineering, or a closely related technical discipline from a strong institution, or have previous experience at a fast-growing technology startup. Experience with modern web development stacks such as React, Node, Flask, or Next.js is valuable, as is 2 to 5 years of customer support experience on similar web applications.
Applicants should also be comfortable working with AI systems, including investigating how AI tools behave through fine-tuning, prompt chains, chain-of-thought analysis, or agent-building workflows. A solid understanding of model outputs, hallucinations, failure modes, and feedback loops is important.
Preferred Knowledge
Experience with AI APIs such as OpenAI or Anthropic, or familiarity with agent frameworks like LangChain or AutoGPT, will be an added advantage.
Application Steps
- Share your resume.
- Complete an AI interview tailored to your resume.
- Submit the final form.
Support and Process Notes
The application typically takes about 20 to 30 minutes. The hiring team reviews applications every day, and candidates are expected to finish the interview and application steps to be considered.
If you need help, support is available by email.