Remote | Customer Success Engineer (India) — $25K–$35K/year
- business Talent Job Seeker
- directions_car California
- workFull-time
We are sharing a specialised full-time opportunity for technical customer support and product operations professionals with strong debugging, communication, and SaaS troubleshooting skills. This role supports Mercor's Talent Success team, which is responsible for ensuring a smooth and high-quality experience for users across the platform — from job applications and AI-led interviews to offer acceptance and payments. Selected professionals will help investigate user-reported issues, debug problems across modern web and AI systems, collaborate with engineering teams, and improve the overall quality, speed, and effectiveness of support workflows. Key Responsibilities Professionals in this role may contribute to: Issue Investigation & Debugging Investigate talent-reported issues end-to-end by reproducing bugs and identifying root causes Distinguish between UX friction, model edge cases, and true system defects Debug across AI and SaaS systems using telemetry, logs, network inspection, and database queries Technical Triage & Resolution Escalate genuine engineering issues with strong judgment Resolve non-engineering issues through configuration changes, prompt refinement, or clear user guidance Surface recurring patterns, product issues, and operational risks to engineering and product teams Documentation & Process Improvement Create clear documentation and runbooks to reduce repeat issues Help improve internal workflows and resolution speed Support more scalable and consistent support operations User Communication Communicate with precision, professionalism, and empathy Maintain an enthusiastic, upbeat, and polished written tone Deliver a high-quality user experience in candidate-facing interactions Ideal Profile Strong candidates may have: 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 users on modern web applications Strong debugging and troubleshooting skills across SaaS-style systems Native-level or highly fluent English writing skills Strong judgment, attention to detail, and user empathy Ability to work effectively in a fast-paced, high-volume environment Preferred qualifications Comfort working with AI systems, including LLMs, agents, or generative AI tools Experience exploring model behaviour, failure modes, hallucinations, and feedback loops Familiarity with fine-tuning, prompt chains, or agent-based workflows Familiarity with modern AI APIs such as OpenAI or Anthropic Exposure to agent frameworks such as LangChain or AutoGPT Experience documenting workflows, playbooks, or technical support processes Why This Opportunity Join a fast-growing team at the intersection of AI, talent, and product operations Work closely with engineering on real user issues and product quality improvement Help shape the end-to-end experience for thousands of platform users Be part of a profitable Series C company operating at significant scale Contract Details Full-time role Fully remote Annual compensation range of $25K–$35K Location: India Work closely with cross-functional teams supporting a high-growth platform environment About the Platform This opportunity is available through Mercor, a leading AI-driven work platform operating at the intersection of labor markets and AI research. Mercor partners with leading AI labs and enterprises to provide the human expertise needed to train and improve frontier AI systems, while building new forms of work powered by real-world knowledge and professional judgment. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy
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Job ID: 10507883 / Ref: 284faf9199f987a0380c3f864ce8d1e2