Вакансия младшего разработчика для технологического стартапа

Дом

Список AI-промптов

Автор вакансий для технологических стартапов

${:__('collect %s',Автор вакансий для технологических стартапов)}$

Составьте подходящую текст вакансии младшего бэкенд-разработчика для стартапа из 30 человек, существующего 2 года, под китайские платформы по найму.

Содержание промпта

Копировать

Write a 500-word-max recruitment copy for a junior backend developer position at a domestic Chinese ToB SaaS startup that is less than two years old and has 30 total employees. The copy needs a lively and friendly tone, highlight flat management and flexible growth space, and fit the release format of Lagou.com.

Копировать

Напишите текст вакансии младшего бэкенд-разработчика максимально объемом 500 слов для китайского стартапа в сфере ToB SaaS, существующего меньше двух лет и имеющего всего 30 сотрудников. Текст должен иметь живой и дружелюбный тон, подчеркнуть плоскую структуру управления и гибкие возможности для роста, соответствовать формату публикации сайта Lagou.com.

Копировать

Поделиться Нажмите, чтобы скопировать ссылку

Комментарии (0)

0/300

Представлять на рассмотрение

Рекомендация

Классификация тикетов EC

Please analyze the following user customer service conversation records from an e-commerce platform, determine the business category based on the content such as logistics inquiry, return or exchange application, product quality complaint, or account anomaly, extract key information like order number, problem description, and user sentiment, and finally output a structured ticket classification result for subsequent manual or automated processing.

Классификация тикетов EC

Please analyze the content of the following user customer service tickets from an e-commerce platform, determine which category their core request belongs to based on the conversation context (logistics inquiry, return/exchange application, product quality complaint, or price consultation), and output the corresponding category label along with a brief reason.

Классификация Тикетов

Analyze the following e-commerce support ticket content, identify its core issue type, including logistics delay, product damage, refund request, or inquiry, and route it to the logistics, quality inspection, or finance department based on preset rules. Extract key entities such as order number, product name, and user sentiment, and finally output a structured classification result and suggested handling plan to ensure accurate classification and compliance with business standards.

Классификатор тикетов e-commerce

Act as an intelligent customer service system for an e-commerce platform. Receive raw user inquiry or complaint text, analyze its core intent, and classify it into specific business scenarios such as logistics inquiry, product quality issue, return or exchange request, or price dispute. Output a standardized classification label along with a brief handling suggestion to ensure the customer service team can respond quickly and accurately.

Классификация Тикетов

Please analyze the following e-commerce customer inquiry ticket content, automatically categorize it into one of the four categories: 'Logistics Inquiry', 'Return/Exchange Application', 'Product Quality Complaint', or 'Other Inquiry' based on business semantics, and briefly explain the basis for classification, ensuring that the classification results conform to actual business scenarios and are logically clear.

Классификатор тикетов E-commerce

Act as an e-commerce support specialist to analyze the provided customer ticket text, identifying whether the core issue falls under logistics delay, product damage, return/exchange request, or price dispute. Extract key entities such as order ID, product name, and user sentiment, then output a structured classification result with suggested handling priority, ensuring accuracy and compliance with company service standards.