Customer Success Engineer, LatAm

• Ensure a delightful end-to-end experience for users applying to job listings, completing AI-led interviews, accepting offers, and getting paid
• Provide speedy and helpful support for user issues and questions
• Investigate talent-reported issues end-to-end by reproducing bugs, identifying root causes, and distinguishing UX friction, model edge cases, and system defects
• Debug across the AI and SaaS stack using telemetry, logs, network inspection, and database queries
• Triage issues, escalate genuine engineering problems, and resolve other issues through configuration, prompt refinement, or user guidance
• Surface systemic patterns and product risks to engineering and product leadership
• Create documentation and runbooks to reduce repeat issues and improve resolution speed
• Communicate with precision, professionalism, and empathy
• Work directly with the engineering team

• Currently residing in Latin America; applicants outside Latin America will not be considered
• 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 such as React, Node, Flask, or Next.js, or 2–5 years of experience supporting customers on such web applications
• Comfort with AI systems, including LLMs, agents, or generative models
• Experience exploring AI tool behavior, including 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 such as OpenAI and Anthropic, or agent frameworks such as LangChain and AutoGPT, is a plus
• Native English-level writing proficiency
• Willingness to work six days per week with substantial overlap with Pacific Time (PT/PST) working hours

• Referral bonus of up to $100 per successful referral