Customer Success Engineer - Fully Remote

๐Ÿข mercor ยท all mercor jobs
๐Ÿ“ Costa Rica
๐Ÿ’ฐ USD 35,000 - 50,000 / annual
๐Ÿ“… Posted 2026-08-10 ยท via Himalayas
๐Ÿท Customer-Success-Engineer,Technical-Customer-Support,AI-Customer-Support,Customer-Success-Specialist,Technical-Support-Engineer,Senior-Customer-Success-Engineer,Technical-Customer-Success-Engineer,Cloud-Customer-Success-Engineer
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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 (LatAm)
Type: Contract
Compensation: $35,000โ€“$50,000/year
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.) OR 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.

- Familiarity with modern AI APIs ( OpenAI , Anthropic , etc.) or how agent frameworks ( LangChain , AutoGPT , etc.) function is a plus.

Application Process (Takes 20โ€“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:

- For any help or support, reach out to:

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

Originally posted on Himalayas

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