Customer Success Engineer (India)

Mercor; India; Remote; INR 2,817,000 - 4,225,000; Full time

Job summary

Mercor is hiring a Customer Success Engineer for India, a remote full-time role. You will triage and resolve customer issues in a fast-paced AI-powered SaaS environment, collaborating with engineering to debug and improve product UX.

The role requires 2–5 years of customer-facing web app experience and comfort with AI systems, APIs, and modern web stacks. Salary is $30K–$45K per year, with full-time commitment.

Qualifications

• Ability to debug web applications from a technical/engineering background.
• Experience building modern web applications (React, Node, Flask, Next.js, etc.).
• 2-5 years of experience supporting customers on web applications.
• Familiarity with AI systems and models is a plus.
• Experience exploring behavior of AI tools and agent frameworks.
• Understanding AI API usage and integration patterns.

Responsibilities

• Investigate talent-reported issues end-to-end: reproduce bugs, identify root causes, and model edge cases.
• Debug across AI + SaaS stack using telemetry, logs, network inspection, and DB queries.
• Triage issues, escalate real engineering problems and resolve others via config or guidance.
• Surface systemic patterns and product risks to engineering and leadership.
• Create documentation and runbooks to reduce repeats and speed up resolution.
• Communicate with precision, professionalism and empathy.

Skills

Debugging web apps

Web app development

Customer support

AI systems familiarity

AI tools behavior understanding

Model outputs interpretation

AI APIs

Education

Degree in Computer Science or related field

Tools

OpenAI API

Anthropic API

LangChain

AutoGPT

Job description

Customer Success Engineer (India)

Company: Mercor Compensation: $30K-$45K per year Commitment: Full-time position Location: Remote Referral Reward: Earn up to $90 per successful referral. Referral Link: https://t.mercor.com/Tilqr

Mercor’s Talent Success team is hiring! Our Talent Success team is responsible for ensuring everyone using our platform has a delightful experience end to end, from applying to job listings, taking our AI-led interviews, accepting offers on our platform, and getting paid for their hard work.

About the Role Mercor has thousands of users joining the platform each week to interview for different roles our clients have posted. When they run into issues or have questions and reach out for help, you will be responsible for giving them a speedy and delightful experience. You will work directly with our engineering team, triaging and investigating bug reports so being super savvy with modern websites and issues SaaS-type applications run into will come in handy. Since your conversations with the talent applying on our platform will often be the first interaction someone has with Mercor, maintaining an enthusiastic, upbeat tone while writing at native English level proficiency is important. We use a lighthearted and informal tone in our support communication while at the same time being very professional and precise in our replies.

Note: This is a remote, 6-day/week role requiring substantial overlap with Pacific Time (PT/PST) working hours.

Key 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 — escalte 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

• Ability to debug web applications, likely coming from either 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 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 — you’ve played with LLMs, agents, or generative models.
• 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.
• Familiarity with how modern AI APIs work (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function is a plus.

About Mercor

Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can’t be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast‑paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.