Customer Success Engineer (India)
Mercor has thousands of users joining the platform each week to interview for different roles our clients have posted. Applicant pay shown: $25K - $35K / year.
- Platform
- Mercor
- Fit category
- Software engineering
- Remote/location
- Remote
- Pay
- Salary/full-time style pay: $25K - $35K / year
- Eligibility
- Remote, India eligibility signal
- Difficulty
- Selective
- Last reviewed
- Jul 1, 2026
Current application
Check the current Mercor listing
Apply on MercorReview the official Mercor listing before applying. Requirements, screening, pay, hours, and project availability can change.
What this role involves
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.
Requirements
- 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.
Best for
- Customer success engineers
- Technical support specialists
- Applicants comfortable debugging SaaS and AI-product issues
Skip this if...
- You are only looking for hourly project work and do not want a salary-style or full-time role
- You need guaranteed acceptance, guaranteed pay, or guaranteed hours
- You are not willing to complete Mercor's application or assessment process
- You are not comfortable with technical screening
Application tips
- Be ready to explain how you debug web-app issues, triage support cases, and communicate with technical users.
- Prepare concise evidence of the specialized experience the role asks for before starting the assessment flow.
- Verify the live Mercor listing details before applying because availability, pay, and requirements can change.
- Review the application steps shown in Mercor so you know which resume, interview, form, or work-authorization items may be reused across roles.
- Use the profession guide before applying so your fit is clear