Discover Great Companies Discover Great Clients
Companies Salaries Jobs
Jobs |
Jobs Companies Salary Majors

How is the salary at Alibaba Group? (15975 records)

Salary range at Alibaba Group: 6K - 50K, where 76.2% of positions earn ¥15-50K
Alibaba Group salary over the years
Disclaimer: statistics are based on job posting analysis and do not represent the actual situation of current employees; system stability may affect objectivity, so please treat the data as reference only.Data inaccurate? Report it

Education requirement: 本科 is the most common

What education does Alibaba Group require? 本科占比最多,占73%,硕士占11.7%,大专占8.7%,不限占5.6%,高中(含中专,中技)占0.7%,初中占0.2%,博士占0.1%

Salary by education

Note: Alibaba Group salaries by education, 大专 ¥13.9K, to see salaries for other education levels, click the detail page

Experience requirement: 不限 is the most common

Does Alibaba Group require much experience? 不限 accounts for 39% (the largest share), 3-5年 accounts for 25.6%, 1-3年 accounts for 20.1%, 5-10年 accounts for 14.9%, 应届生 accounts for 0.4%

Salary by experience

Note: Alibaba Group salaries by experience, 应届生 ¥8.7K, 1-3年 ¥25.7K, 3-5年 ¥36.3K, 5-10年 ¥40.8K, 不限 ¥25.2K

Alibaba Group staff structure: 计算机/网络/技术类 is the most common

Which departments does Alibaba Group have? 计算机/网络/技术类 is the most common, accounting for 61.3%, 客户服务类 accounts for 28.1%, 销售类 accounts for 20.2%, 其他(研发和技术类) accounts for 13.6%, 市场/公关/媒介类. Based on job postings in the past year. For reference only.

Salaries for hot jobs of Alibaba Group

Are salaries high at Alibaba (China) Co., Ltd.? We provide: 运营, 开发工程师, 算法, java, 产品经理, 研发工程师, bd, 销售. Click to view detailed salary analysis by job.

Work locations at Alibaba Group: mainly 杭州, 北京

杭州 ¥33.9K 50.4%(8048) 򀀩
北京 ¥34.9K 16.3%(2602) 򀀩
上海 7.3%(1164) 򀀩
广州 3.8%(600) 򀀩
深圳 3.6%(575) 򀀩
武汉 1.6%(248) 򀀩
成都 1.3%(214) 򀀩
西安 0.9%(145) 򀀩
苏州 0.9%(136) 򀀩
长沙 0.6%(103) 򀀩
南京 0.6%(98) 򀀩
重庆 0.6%(89) 򀀩
宁波 0.5%(86) 򀀩
东莞 0.5%(76) 򀀩
青岛 0.5%(75) 򀀩
合肥 0.5%(74) 򀀩
阿里 0.5%(74) 򀀩
郑州 0.4%(67) 򀀩
福州 0.4%(66) 򀀩
厦门 0.4%(56) 򀀩
天津 0.3%(54) 򀀩
佛山 0.3%(53) 򀀩
温州 0.3%(51) 򀀩
南昌 0.3%(45) 򀀩
济南 0.3%(44) 򀀩
贵阳 0.3%(44) 򀀩
石家庄 0.3%(42) 򀀩
昆明 0.3%(42) 򀀩
太原 0.3%(41) 򀀩
金华 0.3%(40) 򀀩
济宁 0.2%(39) 򀀩
沈阳 0.2%(37) 򀀩
达州 0.2%(36) 򀀩
嘉兴 0.2%(32) 򀀩
中山 0.2%(32) 򀀩
长春 0.2%(30) 򀀩
无锡 0.2%(29) 򀀩
常州 0.2%(29) 򀀩
珠海 0.2%(29) 򀀩
扬州 0.2%(27) 򀀩
南宁 0.2%(26) 򀀩
哈尔滨 0.1%(23) 򀀩
随州 0.1%(21) 򀀩
泉州 0.1%(19) 򀀩
大连 0.1%(17) 򀀩
南通 0.1%(15) 򀀩
汕头 0.1%(14) 򀀩
潮州 0.1%(14) 򀀩
临沂 0.1%(12) 򀀩
揭阳 0.1%(12) 򀀩
台州 0.1%(10) 򀀩
黄冈 0.1%(9) 򀀩
永州 0.1%(9) 򀀩
渭南 0.1%(9) 򀀩
兰州 0.1%(9) 򀀩
沧州 0.1%(8) 򀀩
绍兴 0.1%(8) 򀀩
湛江 0.1%(8) 򀀩
清远 0.1%(8) 򀀩
桂林 0.1%(8) 򀀩
海口 0.1%(8) 򀀩
唐山 (7) 򀀩
邯郸 (7) 򀀩
廊坊 (7) 򀀩
宣城 (7) 򀀩
宜昌 (7) 򀀩
株洲 (7) 򀀩
梅州 (7) 򀀩
淄博 (6) 򀀩
潍坊 (6) 򀀩
洛阳 (6) 򀀩
衡阳 (6) 򀀩
惠州 (6) 򀀩
柳州 (6) 򀀩
保定 (5) 򀀩
盐城 (5) 򀀩
丽水 (5) 򀀩
烟台 (5) 򀀩
南阳 (5) 򀀩
湘潭 (5) 򀀩
常德 (5) 򀀩
江门 (5) 򀀩
三亚 (5) 򀀩
德阳 (5) 򀀩
咸阳 (5) 򀀩
安康 (5) 򀀩
乌鲁木齐 (5) 򀀩
Note: in which cities does Alibaba Group have offices? The main distribution is as follows: 杭州 accounts for 50.4%, 北京 accounts for 16.3%, 上海 accounts for 7.3%, 广州 accounts for 3.8%, 深圳 accounts for 3.6%, 武汉 accounts for 1.6%, 成都 accounts for 1.3%, 西安 accounts for 0.9%, 苏州 accounts for 0.9%, 长沙 accounts for 0.6%, based on job postings in the past year. For reference only.

How is the growth outlook for Alibaba Group?

Regional distribution of positions over the years at Alibaba Group

Employment outlook for Alibaba Group: in 2026, Alibaba Group had openings in 176 regions , 12 fewer than in 2025

People who follow Alibaba Group also follow

Alibaba Group Competitors (Similar Companies)

“Bring the digital world to every person, home, and organization, to bu”
“Inspire Creativity, Enrich Life”
“New energy vehicle manufacturer”
“Let Geely cars travel all over the world”
“A provider of video-centric intelligent IoT solutions and big data ser”
“User first, technology for good”
“网聚人的力量,以科技创新缔造美好生活”
“Providing first-class solutions for global new energy applications”
“Committed to righteous success, dedicated to creating value for societ”
“Let everyone in the world enjoy a better life through technology”
“Build a world of abundance and excellence.”
“Helping everyone eat better, live better”
“Make society safer, make life smarter”
“Research on intelligent speech and language technology, artificial int”
“Creating value for car owners' vehicle use and life”