About this role
In this role, you will be pivotal in ensuring that users of our platform enjoy a seamless and delightful experience throughout their journey, from job applications to receiving payments. As a Customer Success Engineer, you will address user inquiries and issues, providing timely and effective solutions while collaborating closely with our engineering team to resolve technical challenges.
Your primary responsibility will be to assist users who encounter difficulties or have questions about our platform. You will be the first point of contact for many users, so maintaining a friendly and professional demeanor is essential. Your communication will reflect our lighthearted yet precise support style.
This is a remote position requiring substantial overlap with Pacific Time (PT/PST) working hours, and it involves a 6-day work week.
Key Responsibilities- Investigate talent-reported issues from start to finish: reproduce bugs, identify root causes, and distinguish between UX friction, edge cases, and system defects.
- Debug across our AI + SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior.
- Triage issues with sound judgment, escalate true engineering problems and resolve others through configuration, prompt refinement, or clear user guidance.
- Identify systemic patterns and product risks to communicate to engineering and product leadership.
- Create clear documentation and runbooks to minimize repeat issues and enhance resolution speed.
- Communicate with precision, professionalism, and empathy.
- Proven ability to debug web applications, with a background in either:
- A 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 applications.
- Comfortable with AI systems, having engaged with LLMs, agents, or generative models.
- Experience exploring the behavior of AI tools, 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 (OpenAI, Anthropic, etc.) or agent frameworks (LangChain, AutoGPT, etc.) is a plus.
operates at the intersection of labor markets and AI research, partnering with leading AI labs and enterprises to provide the essential human intelligence needed for AI development. Our extensive talent network trains frontier AI models by sharing knowledge and context that cannot be captured in code alone. With over 30, 000 experts in our network, we collectively earn over $2 million a day.
As a profitable Series C company valued at $10 billion, is creating a new category of work where expertise drives AI advancement. Join our ambitious and committed team, working alongside researchers, operators, and AI companies that are shaping the future of society.