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Customer Success Engineer - AI SaaS

35 000 - 50 000 USD por ano

Mercor

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: $35,000–$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 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:
  • 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.

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