Customer Success Engineer - AI SaaS
Mercor · Mumbai Metropolitan Region
- Hybrid
- Full-time
- $35,000 / year
- Mumbai Metropolitan Region
Job highlights
- Investigate and resolve AI/SaaS issues end-to-end.
- Debug complex systems using logs and queries.
- Triage and escalate engineering problems effectively.
- Improve product by surfacing systemic patterns.
- Create documentation and communicate clearly.
About the role
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: $25,000–$35,000
Location: Remote
Commitment: Substantial overlap with Pacific Time (PT/PST)
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.).
- 2-5 years of experience supporting customers on such web applications.
- Comfortable with AI systems. Experience 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.
Preferred
- Familiarity with how modern AI APIs work (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function.
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.
Key skills/competency
- Customer Success Engineering
- AI/SaaS Troubleshooting
- Web Application Debugging
- LLM and Generative Models
- Prompt Engineering
- Technical Support
- Root Cause Analysis
- Documentation Creation
- Agile Methodologies
- Communication Skills
Skills & topics
- Customer Success Engineer
- AI
- SaaS
- LLM
- Generative Models
- Web Application Debugging
- Technical Support
- Remote
- Contract
- Prompt Engineering
How to get hired
- Tailor your resume: Highlight your debugging skills and AI/LLM experience.
- Understand Mercor's mission: Show how you connect talent with AI labs.
- Prepare for AI interview: Practice explaining technical concepts clearly.
- Demonstrate problem-solving: Use STAR method for behavioral questions.
- Follow application steps: Complete resume upload and AI interview promptly.
Technical preparation
Practice debugging modern web applications.,Review AI/LLM concepts and model behavior.,Familiarize yourself with prompt engineering.,Prepare to query logs and databases.
Behavioral questions
Describe a complex technical issue you solved.,How do you handle user frustration?,How do you communicate technical risks?,Tell us about a time you improved a process.
Frequently asked questions
- What is the role of a Customer Success Engineer at Mercor?
- As a Customer Success Engineer at Mercor, you will be responsible for investigating and resolving issues reported by talent using our AI SaaS platform. This involves debugging across the stack, identifying root causes, and communicating solutions or escalating complex engineering problems. You'll also contribute to improving the product by surfacing systemic issues and creating documentation.
- What technical skills are essential for the Customer Success Engineer role at Mercor?
- Essential technical skills include the ability to debug web applications, experience building modern web applications (React, Node, Flask, Next.js), and comfort with AI systems like LLMs, agents, or generative models. Understanding model outputs, failure modes, and prompt engineering is also crucial.
- Is this a remote position and what is the time commitment for the Customer Success Engineer role?
- Yes, this is a remote position. The role requires a substantial overlap with Pacific Time (PT/PST) to ensure effective collaboration and support for users in that time zone.
- What is the application process for the Customer Success Engineer position at Mercor?
- The application process involves uploading your resume, completing an AI-driven interview based on your resume, and submitting the form. Mercor reviews applications daily, and completing these steps is key to being considered.
- What is Mercor's background and who are their investors?
- Mercor connects elite creative and technical talent with leading AI research labs. The company is headquartered in San Francisco and is backed by notable investors including Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
- What qualifications are preferred but not required for the Customer Success Engineer role?
- Preferred qualifications include familiarity with how modern AI APIs like OpenAI or Anthropic work, or experience with agent frameworks such as LangChain or AutoGPT. These skills can enhance your application but are not strictly required.
- How long does the application process for Mercor typically take?
- The application process is designed to be efficient, typically taking about 20–30 minutes to complete, including resume upload and the AI interview.
- Who should I contact if I need help with my application for the Customer Success Engineer job?
- If you require any help or support during the application process, please reach out to support@mercor.com. For details about the interview process and platform, you can check https://talent.docs.mercor.com/welcome.