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Alibaba Group
4.1
based on 41 Reviews
Company Overview
Company Locations
Working at Alibaba Group
Company Summary
Alibaba Group facilitates global business through technology infrastructure, supporting commerce, cloud computing, and digital media to enhance engagement.
Overall Rating
4.1/5
based on 41 reviews
11% above
industry average
Highly rated for
Company culture, Skill development
Work Policy
Monday to Saturday
46% employees reported
Flexible timing
59% employees reported
No travel
39% employees reported
Day shift
90% employees reported
View detailed work policy
Top Employees Benefits
Free meal
1 employee reported
Cafeteria
1 employee reported
Health insurance
1 employee reported
Job/Soft skill training
1 employee reported
View detailed benefits
About Alibaba Group
Founded in1999 (26 yrs old)
India Employee Count501-1k
Global Employee Count10k-50k
HeadquartersHangzhou, Zhejiang, China
Office Locations
--
Websitealibabagroup.com
Primary Industry
Other Industries
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ALIBABA GROUP'S MISSION IS TO MAKE IT EASY TO DO BUSINESS ANYWHERE. We provide the fundamental technology infrastructure and marketing reach to help merchants, brands and other businesses that provide products, services and digital content to leverage the power of the Internet to engage with their users and customers. Our businesses are comprised of core commerce, cloud computing, digital media and entertainment, innovation initiatives and others. Through investee affiliates, we also participate in the logistics and local services sectors.
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Alibaba Group Ratings
based on 41 reviews
Overall Rating
4.1/5
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Category Ratings
3.8
Company culture
3.8
Skill development
3.7
Salary
3.7
Work-life balance
3.7
Work satisfaction
3.6
Job security
3.5
Promotions
Alibaba Group is rated 4.1 out of 5 stars on AmbitionBox, based on 41 company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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Alibaba Group Reviews
Top mentions in Alibaba Group Reviews
Compare Alibaba Group with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 4.1/5 based on 41 reviews | 4.0/5 based on 10.9k reviews | 4.1/5 based on 25.4k reviews | 3.3/5 based on 7.5k reviews |
Highly Rated for | Skill development Company culture | Skill development Salary Job security | Company culture Salary Work-life balance | No highly rated category |
Critically Rated for | No critically rated category | Promotions | No critically rated category | Job security Company culture Promotions |
Primary Work Policy | - | Work from office 61% employees reported | Permanent work from home 46% employees reported | Work from office 48% employees reported |
Rating by Women Employees | 4.5 Good rated by 13 women | 3.8 Good rated by 2k women | 4.1 Good rated by 8.1k women | 3.2 Average rated by 625 women |
Rating by Men Employees | 3.8 Good rated by 22 men | 4.0 Good rated by 8k men | 4.0 Good rated by 15.1k men | 3.3 Average rated by 6.4k men |
Job security | 3.6 Good | 3.8 Good | 3.7 Good | 2.7 Poor |
View more
Alibaba Group Salaries
Alibaba Group salaries have received with an average score of 3.7 out of 5 by 41 employees.
Key Account Manager
(12 salaries)
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₹3.4 L/yr - ₹4.2 L/yr
Accounts Manager
(10 salaries)
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₹3 L/yr - ₹4.5 L/yr
Sales Account Manager
(7 salaries)
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₹2.2 L/yr - ₹3 L/yr
Customer Service Executive
(6 salaries)
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₹2.1 L/yr - ₹2.3 L/yr
Director Account Sales
(6 salaries)
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₹3.5 L/yr - ₹4.2 L/yr
Business Development Executive
(5 salaries)
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₹3 L/yr - ₹4 L/yr
Sales Executive
(5 salaries)
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₹2.6 L/yr - ₹3 L/yr
Sales Manager
(5 salaries)
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₹3.6 L/yr - ₹6.6 L/yr
Server Engineer
(5 salaries)
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₹2.8 L/yr - ₹4 L/yr
IT Consultant Manager
(5 salaries)
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₹57 L/yr - ₹69 L/yr
Alibaba Group Jobs
Popular Designations Alibaba Group Hires for
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Alibaba Group News
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How Alibaba’s GPT Compares to OpenAI’s ChatGPT
- Alibaba's GPT, Qwen, has emerged as a competitor to OpenAI's ChatGPT, with its latest release, Qwen2.5-Max, in January 2025.
- Qwen, developed by Alibaba's DAMO Academy, boasts efficiency and support for 29 languages, making it a versatile contender.
- In terms of technology, Qwen emphasizes efficiency over sheer scale, with 72 billion parameters for Qwen2.5-Max.
- ChatGPT, on the other hand, focuses on general-purpose abilities and multimodal tasks, like processing images and audio.
- ChatGPT excels in conversational flow and empathy, while Qwen stands out in coding and technical precision.
- Use cases for ChatGPT include customer support, content creation, education, and general tasks, while Qwen is favored for e-commerce, coding, and enterprise solutions.
- In terms of affordability, Qwen's models are available for free download, providing cost-effective options compared to ChatGPT's premium plans.
- Ultimately, the choice between ChatGPT and Qwen depends on specific needs: ChatGPT for versatility and user-friendliness, Qwen for technical precision and affordability.
- ChatGPT targets a broader audience, whereas Qwen's niche lies in industry-focused applications and multilingual support.
- As of March 2025, both Alibaba's GPT and OpenAI's ChatGPT are pushing the boundaries of AI technology, catering to different user preferences.
- Whether you're a beginner, a developer, or an enterprise, choosing between ChatGPT and Qwen depends on your intended use and budget considerations.
Codecondo | 13 Mar, 2025
The Man Who Heard ‘No’ More Than Anyone Else
- Jack Ma, the founder of Alibaba, faced extreme rejection and failure before becoming one of the richest entrepreneurs.
- He was rejected by Harvard 10 times, rejected from 30 jobs, and even rejected by KFC when 24 others were hired.
- Despite numerous failures, including failing in school multiple times, Jack Ma persevered and kept pursuing his dreams.
- He faced rejection from various universities and job positions, which led him to the brink of desperation with no money and no prospects.
- Instead of giving up, Jack Ma decided to create his own opportunity by starting Alibaba, an online marketplace that many initially doubted.
- Alibaba faced numerous challenges and failures at the beginning, with Jack Ma and his team struggling to make ends meet.
- The turning point came when Jack Ma bet everything on e-commerce, leading to the success of Alibaba and its eventual worth of over $500 billion.
- Jack Ma's story exemplifies that rejection is not the end but the beginning of a new opportunity.
- His journey highlights the importance of perseverance, belief in oneself, and taking risks to achieve success.
- Despite facing multiple rejections and failures, Jack Ma's resilience and determination ultimately led him to become a billionaire and a successful entrepreneur.
Medium | 13 Mar, 2025
Why AI Video Sometimes Gets It Backwards
- Generative video AI frameworks from China like Tencent's Hunyuan Video and Alibaba's Wan 2.1 are gaining attention and popularity in 2025.
- New releases and innovations in generative video AI, particularly solving problems related to temporal consistency, are being rapidly developed and applied by VFX studios.
- Challenges include physics errors like a rock rolling uphill in generated videos, possibly due to models' training on single images and data augmentation routines.
- Alibaba and UAE collaboration explores issues of training video models on single frames and the impact of potentially reversed training data.
- VideoPhy-2 dataset is introduced to evaluate physical commonsense in AI-generated videos, focusing on actions and object interactions.
- Researchers curated actions and prompts to assess models' adherence to physical rules, while using human annotators for evaluation and developing an automated evaluation model.
- Evaluation of generative video systems like Wan2.1 and CogVideoX-5B shows challenges in adhering to physical laws in actions involving sports or object interactions.
- Models struggled with physical activities more than object interactions, highlighting the need for better datasets in improving AI-generated videos' physical accuracy.
- Video models' physical plausibility did not strongly correlate with aesthetics or motion smoothness, indicating the importance of a deep understanding of physical commonsense.
- Quantitative and qualitative analyses of AI-generated videos demonstrate violations of physical laws, such as unnatural movements and inconsistencies in generated scenes.
Unite | 13 Mar, 2025
🔮 The age of reason(ing models)
- Advancements in AI, particularly reinforcement learning, are enhancing the productivity of knowledge workers in advanced economies.
- Alibaba's QwQ-32B model showcases the influence of reinforcement learning in AI advancements.
- The transition from pattern matching to structured reasoning in AI models is reshaping the landscape of knowledge work and industries.
- Reinforcement learning, proven by AlphaGo's Move 37, enables machines to learn optimal play through trial and error, surpassing human strategies.
- Reinforcement learning is now facilitating the development of reasoning models with the ability to think step-by-step and tackle complex tasks.
- Models like OpenAI's o1-preview and DeepSeek-R1 employ reinforcement learning to enhance problem-solving and reasoning skills in tasks like coding and physics.
- The utilization of reinforcement learning in language models has shifted towards chain-of-thought reasoning, improving problem-solving abilities and logical reasoning.
- Reinforcement learning allows models like R1-Zero to exhibit human-like self-correction and metacognition abilities during problem-solving.
- AI labs are developing reasoning models, like OpenAI's o3, that can autonomously generate, test, and refine solutions using reinforcement learning.
- The integration of reinforcement learning in reasoning models has the potential to significantly impact various sectors, leading to fully autonomous agents and improved economic outcomes.
- The use of reinforcement learning in AI models is expected to revolutionize industries by accelerating development processes and transforming analytical fields.
Exponential View | 12 Mar, 2025
OpenAI Launches $50 million AI fund
- OpenAI launched the NextGenAI initiative, connecting 15 research institutions with $50M for AI advancements and educational enhancements.
- The initiative offers API access, compute resources, and support for academic innovation across various disciplines.
- Inception Labs introduced Mercury, a diffusion LLM family with speeds surpassing existing models, enabling faster AI applications.
- Mercury's architecture allows high-speed, high-quality outputs without compromising on model accuracy.
- Cohere For AI unveiled Aya Vision, a multilingual vision model supporting 23 languages for various tasks like image captioning.
- Aya Vision exhibits strong performance metrics in multilingual vision tasks, outperforming several comparable models.
- Alibaba's QwQ-32B, a new RL-enhanced language model, achieves performance comparable to DeepSeek-R1 with fewer parameters.
- QwQ-32B demonstrates strategic RL applications can close performance gaps with larger models through efficient design.
- Notable tools like BoringUI, ChatWithGit, DiffBlue, and Swimm provide enhancements for UI generation, GitHub search, and AI-driven code management.
- These tools cater to various aspects of AI development, from UI design automation to mainframe code modernization.
Hackernoon | 12 Mar, 2025
Marc Benioff, Ray Dalio, and the cofounder of Alibaba talk US and China AI
- US and Chinese AI advancements were discussed at a conference in Singapore.
- Salesforce's CEO criticized Big Tech's spending on data centers and AI development.
- Alibaba's cofounder emphasized the importance of open-source models in driving AI innovation.
- The emergence of low-cost, high-tech Chinese models like DeepSeek's R1 challenges the necessity of large investments in AI development.
Insider | 12 Mar, 2025
🐙 What's the deal with Manus?
- There are three main perspectives on Manus AI: enthusiasts, impressed professionals, and skeptics.
- Manus is a general-purpose AI agent that excels in tasks like analyzing stocks, generating itineraries, and evaluating media landscape changes.
- You need an invitation code to access Manus, and it's currently free during beta with potential pricing changes post-launch.
- Manus can automate research and planning tasks, offering better execution compared to similar AI tools like OpenAI Deep research and Claude Computer Use.
- Use Manus for research summarization, product analysis, viral snippet generation, or retro-style game creation.
- Critics label Manus as a 'wrapper' because it utilizes existing AI models like 'Claude Sonnet 3.5' and 'Qwen'.
- Despite its 'wrapper' approach, Manus has integrated 29 tools, collaborated with AI startups, and put in significant engineering effort for high performance.
- Manus is expected to face competition as other AI agents emerge, but its innovation and partnerships with companies like Alibaba indicate promising developments.
- While Manus offers unique advantages, competition is fierce in the AI landscape, indicating a future with more innovative AI assistants.
- Manus isn't the ultimate AI agent but provides a glimpse into the autonomous AI future, suggesting rapid advancements in the field.
Exponential View | 11 Mar, 2025
Meet 4 of the Chinese AI models upending the market
- The Chinese AI market is seeing intense competition with new models like Manus entering the scene being hailed as potential game-changers.
- Manus, referred to as China's next 'DeepSeek moment,' is one of the noteworthy contenders in the rapidly evolving AI landscape.
- Key players to watch in the Chinese AI market include Manus, Alibaba's QwQ-32B, Tencent's Yuanbao, and DeepSeek's R1.
- DeepSeek's R1, developed by a startup in Hang Zhou, has made significant impacts by rivaling top AI models like ChatGPT's o1.
- Alibaba introduced the QwQ-32B model, outperforming DeepSeek in efficiency and prompting a surge in its stock value.
- Tencent's Yuanbao chatbot became popular in China, surpassing DeepSeek in downloads, with plans to integrate DeepSeek's R1 in various products.
- Manus, developed by Chinese startup Monica, is claimed to be the world's first fully autonomous AI agent, excelling in tasks like data analysis and web development.
- While some criticize Manus as overhyped and prone to errors, others see it as a groundbreaking advancement in the AI field.
- Concerns about data privacy and access limitations surround Manus, which currently requires an invitation for access.
- The Chinese AI market is rapidly evolving with new models challenging established players and reshaping the industry landscape.
Insider | 11 Mar, 2025
HardTech Reads: The AI & Robotics Revolution vol.22
- Physical Intelligence has open-sourced its Pi0 robotic foundation model, allowing for customization and widespread adoption in robotics.
- China's ManusAI redefines autonomous AI agents with complex task execution, outperforming OpenAI and poised for global AI development.
- Apptronik partners with Jabil to mass-produce AI-powered humanoid robot Apollo for manufacturing, logistics, and potential retail and elder care use.
- China sets elder care robot standards as Unitree Robotics' humanoids gain attention, predicts mass adoption in five years.
- Alibaba's QwQ-32B reasoning model aims for efficiency on consumer hardware, intensifying competition in the global AI landscape.
- Gecko Robotics secures a $100M deal with NAES for AI-powered infrastructure inspection, optimizing U.S. power plant maintenance.
- Human Acceptance Testing (HAT) crucial for robot integration, ensuring social and environmental acceptance in human environments.
- RightHand Robotics receives a strategic investment from Rockwell Automation to expand AI-powered warehouse fulfillment globally.
- Skylo secures $30M to connect remote industries with satellite-based IoT connectivity, focusing on agriculture, maritime, and logistics.
- Coatue's report highlights startups' impact on the U.S. industrial base, reshaping defense, energy, and advanced manufacturing sectors.
- The Hardware Handbook provides valuable insights for robotics, manufacturing, and deep tech builders, offering a curated resource from Informal.cc.
Medium | 11 Mar, 2025
China's newest AI model Manus is dividing opinion over DeepSeek comparisons. Here's what to know.
- Chinese researchers have created Manus AI, an autonomous AI agent that can perform tasks independently from start to finish with minimal human input, sparking debate in the AI community.
- Manus AI, developed by the startup Monica, is claimed to be capable of tasks like building websites, analyzing stock trends, and data scraping, operating in the cloud even when users log out.
- Some users question Manus' originality, suggesting it may rely on existing models like Anthropic's Claude 3.5 Sonnet and Alibaba's Qwen models for its functionality.
- Comparisons have been drawn between Manus and DeepSeek, highlighting China's advancements in AI technology and its potential to rival US models.
- Opinions among AI researchers and industry figures are split, with some praising Manus as a significant advancement while others point out issues like factual errors and privacy concerns.
- While some see Manus as redefining AI capabilities, others raise questions about its performance accuracy, tendency for errors, and the marketing tactics used to create hype.
- Manus' claims of full autonomy have stirred discussions about data privacy, echoing previous concerns raised with DeepSeek, particularly regarding the storage and access to user data.
- The opaque ownership of Manus and its ties to China have fueled further privacy worries, with questions raised about where user data is stored and the potential access by Chinese authorities.
- Despite Manus being hailed as a potential game-changer in AI, doubts persist regarding its true breakthrough status and the broader implications for AI security and governance.
- Overall, Manus AI has generated both excitement and skepticism within the AI community, showcasing the ongoing debates surrounding innovation, transparency, and data privacy in the field.
Insider | 11 Mar, 2025
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Alibaba Group FAQs
When was Alibaba Group founded?
Alibaba Group was founded in 1999. The company has been operating for 26 years primarily in the Internet sector.
Where is the Alibaba Group headquarters located?
Alibaba Group is headquartered in Hangzhou, Zhejiang.
How many employees does Alibaba Group have in India?
Alibaba Group currently has approximately 500+ employees in India.
Does Alibaba Group have good work-life balance?
Alibaba Group has a Work-Life Balance Rating of 3.7 out of 5 based on 40+ employee reviews on AmbitionBox. 78% employees rated Alibaba Group 4 or above, while 22% employees rated it 3 or below on work-life balance. This indicates that the majority of employees feel a generally balanced work-life experience, with some opportunities for improvement based on the feedback. We encourage you to read Alibaba Group reviews for more details
Is Alibaba Group good for career growth?
Career growth at Alibaba Group is rated fairly well, with a promotions and appraisal rating of 3.5. 78% employees rated Alibaba Group 4 or above, while 22% employees rated it 3 or below on promotions/appraisal. Though the sentiment is mixed for career growth, majority employees have rated it positively. We recommend reading Alibaba Group reviews for more detailed insights.
What are the pros of working in Alibaba Group?
Working at Alibaba Group offers several advantages that make it an appealing place for employees. The company is highly rated for company culture and skill development, based on 40+ employee reviews on AmbitionBox.
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