
51 - 200 employees
Founded 2023
🔥 Funding within the last year
💰 $350M Series C - Mercor on 2025-10
Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.
🔥 2 minutes ago
💃 Latin America – Remote
💵 $35k - $50k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🧑🔧 Technical Customer Success Manager
🚫👨🎓 No degree required
👻 Ghost score 8%
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51 - 200 employees
Founded 2023
🔥 Funding within the last year
💰 $350M Series C - Mercor on 2025-10
Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.
• Investigate talent-reported issues end-to-end by reproducing bugs, identifying root causes, and separating 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, escalating true engineering problems and resolving others through configuration, prompt refinement, or clear 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 • Support users throughout Mercor’s platform experience, including applications, AI-led interviews, offers, and payments • Work directly with the engineering team to investigate bug reports and production behavior
• 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 • Currently residing in Latin America • Availability for a remote, 6-day/week role with substantial overlap with Pacific Time working hours
• Earn up to $100 for each successful referral, subject to referral limits • Remote work arrangement
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