Customer Success Engineer
$20,000–$35,000/yr
About this role
In this role, you will be a key player in enhancing the user experience for thousands of individuals applying for jobs on our platform each week. As a Customer Success Engineer, you will ensure that users receive prompt and effective support, addressing their inquiries and resolving issues they encounter during their journey, from application to payment.
Your collaboration with the engineering team will be crucial as you triage and investigate bug reports. A strong understanding of modern web applications and the challenges faced by SaaS platforms will be essential to your success.
As the first point of contact for many users, your communication will embody an enthusiastic and upbeat tone, while maintaining professionalism and precision in your responses.
Key Responsibilities- Investigate talent-reported issues end-to-end: 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 with sound judgment, escalate true engineering issues and resolve others via configuration, prompt refinement, or clear user guidance.
- Surface systemic patterns and product risks to engineering and product leadership.
- Create clear documentation and runbooks to reduce repeat issues and improve resolution speed.
- Communicate with precision, professionalism, and empathy.
- Ability to debug web applications, likely coming from either a:
- 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 web applications.
- Comfortable with AI systems, you’ve engaged with LLMs, agents, or generative models.
- Experience exploring the behavior of AI tools (fine-tuning, prompt chains, chain-of-thought debugging, or building agents).
- Ability to understand model outputs, failure modes, hallucinations, and feedback loops.
- Familiarity with how modern AI APIs work (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function is a plus.
Employment Type: Yearly
CompensationAnnual Salary: $20, 000 - $35, 000
EligibilityLocation: India