
Customer Success Engineer, LatAm
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Latin America.
• Ensure a seamless and enjoyable experience for users as they apply for listings, participate in AI-driven interviews, accept job offers, and receive payments.
• Thoroughly investigate issues reported by talent by reproducing bugs, determining root causes, and distinguishing between user experience friction, model edge cases, and system defects.
• Perform debugging across the AI and SaaS stack utilizing telemetry, logs, network analysis, and database queries.
• Assess issues, escalate genuine engineering problems, and address other concerns through configuration adjustments, prompt enhancements, or user assistance.
• Highlight systemic patterns and product vulnerabilities to engineering and product leadership.
• Develop documentation and runbooks aimed at reducing recurring issues and enhancing resolution efficiency.
• Communicate with clarity, professionalism, and empathy.
• Collaborate directly with the engineering team to investigate and prioritize bug reports.
• Must currently reside in Latin America; applications from individuals outside Latin America will not be considered.
• Proficiency in debugging web applications.
• A degree in Computer Science, Software Engineering, or a related technical field from a prestigious institution, or equivalent experience at a high-growth technology startup.
• Experience in developing modern web applications such as React, Node.js, Flask, or Next.js, or 2–5 years of experience providing support for customers using such applications.
• Familiarity with AI systems, including large language models (LLMs), agents, or generative models.
• Experience in exploring AI tool functionality, such as fine-tuning, prompt sequences, chain-of-thought debugging, or agent development.
• Ability to comprehend model outputs, recognize failure modes, identify hallucinations, and understand feedback loops.
• Knowledge of contemporary AI APIs like OpenAI or Anthropic, or agent frameworks such as LangChain or AutoGPT is advantageous.
• Native-level proficiency in English writing.
• Willingness to maintain a remote work schedule of 6 days a week with significant overlap with Pacific Time (PT/PST) working hours.
• Flexible remote work environment.
• Chance to collaborate with researchers, operators, and prominent AI companies.
• Referral bonus of up to $100 for each successful referral (subject to limitations).
• Reasonable accommodations available upon request.
Cribl
Cloudinary
MCCi
GitLab
Get handpicked remote jobs straight to your inbox weekly.