Role overview

Qualifications

Ability to debug web applications.
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 building modern web applications (React, Node, Flask, Next.js, etc.) OR 2-5 years of experience supporting customers on such web applications.
Comfortable with AI systems.

Responsibilities

Investigate talent-reported issues end-to-end.
Reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects.
Debug across our AI + SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior.
Create clear documentation and runbooks to reduce repeat issues and improve resolution speed.

Key facts

Remote from: India
Full time
Customer Success Manager (CSM)
English

Hard skills

Debugging Web Applications Internal Documentation React Jsx Node B Agent-Based Model

Other skills

Communication
Professionalism
Empathy
Problem Solving

About the company

Mercor

Company details

Links

LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Customer Success Engineer (India)
Type: Contract
Compensation: $20,000–$35,000
Location: Remote

Role Responsibilities

Investigate talent-reported issues end-to-end. Reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects.
Debug across our AI + SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior.
Triage with sound judgment. Escalate true engineering issues and resolve others via configuration, prompt refinement, or clear user guidance.
Surface systemic patterns and product risks to engineering and product leadership.
Create clear documentation and runbooks to reduce repeat issues and improve resolution speed.
Communicate with precision, professionalism, and empathy.

Qualifications

Must-Have

Ability to debug web applications. 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 building modern web applications (React, Node, Flask, Next.js, etc.) OR 2-5 years of experience supporting customers on such web applications.
Comfortable with AI systems. Experience exploring behavior of AI tools (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.

Application Process (Takes 20–30 mins to complete)

Upload resume
AI interview based on your resume
Submit form

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.