主分类:销售与客户拓展
来源 JD 数据(旧分类保留,当前主分类见上方)
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"job": {
"job_title": "GenAI Business Development - Paris",
"job_level": "实习",AI生成
"work_category": "实习",AI生成
"department": "阿里云",
"location": "巴黎",
"work_mode": "未披露",AI生成
"job_category": "销售类"AI生成
},
"company": {
"company_name": "阿里云",
"company_industry": "云计算 / 人工智能",
"company_size": "10000人以上",
"company_website": "alibaba.com",
"company_description": "阿里云提供云基础设施、AI模型、智能体和计算服务。"
},
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"min": "",
"max": "",
"currency": "未披露",
"cycle": "未披露"
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"benefits": "未披露"
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"working_years": "",
"degree": "Education: Currently pursuing a Bachelor's degree or above in Computer Science",
"language": "5. Global Communication: Fluent in French and English with strong written and verbal communication skills. Overseas study or exchange experience is a plus. Proficiency in Italian or Spanish is a plus.",AI生成
"visa_support": "未披露",
"responsibilities": "Support Global AI Client Acquisition: Assist the team in scaling outreach to global AI clients—including AI-native startups, ISVs, AI data providers, and enterprises undergoing AI transformation—to help build a high-conversion sales pipeline through lead research, client profiling, and outreach support.\n1. AI Sales Process Support: Support the full lifecycle of AI MaaS opportunities in EUS markets—from lead collection and qualification to client communication and deal progression—working alongside solution and product teams to drive token consumption and revenue growth.\n2.Market Research & GTM Strategy Support: Track GenAI trends including foundation model evolution, agent frameworks, AI infrastructure, and competitor dynamics; assist with market research, analysis, and GTM strategy development.\n3. AI Client Relationship Support: Assist the team in communicating with technical decision-makers and business leads at global AI-focused companies; participate in client visits and meetings to help drive satisfaction and retention.\n4. Cross-Functional Collaboration Support: Work with AI solutions, product, and marketing teams on day-to-day activities; assist in planning and executing technical workshops, demos, and campaigns; help prepare marketing materials and organize events.",
"requirements_text": "1. Education: Currently pursuing a Bachelor's degree or above in Computer Science, AI, Data Science, Business, Marketing, or related majors.\n2. Availability: 5 days per week on-site, able to commit to at least 6 months of internship.\n3. AI Awareness & Interest:\n-Strong interest in Generative AI, large language models, and AI applications; regularly uses mainstream LLMs (e.g., ChatGPT, Claude, Qwen) and follows industry trends.\n-Basic understanding of large model and MaaS concepts with initial awareness of AI commercialization; familiarity with prompt engineering or vibe coding is a plus.\n-Good logical thinking, strong interpersonal and communication skills with the ability to express ideas clearly. Prior internship experience in sales, marketing, or consulting is preferred.\n-Cloud & AI Fundamental Understandings: Basic understanding of cloud computing and AI infrastructure products (e.g., GPU, MaaS, RAG, Agents), or willingness to learn quickly.\n4. Mindset: Fast learner, results-driven, self-motivated, and passionate about AI innovation in fast-paced environments.\n5. Global Communication: Fluent in French and English with strong written and verbal communication skills. Overseas study or exchange experience is a plus. Proficiency in Italian or Spanish is a plus.",
"skills": [AI生成
"沟通能力",
"大语言模型",
"检索增强生成"
],
"preferred_qualifications": "Good logical thinking, strong interpersonal and communication skills with the ability to express ideas clearly. Prior internship experience in sales, marketing, or consulting is preferred.",
"job_highlights": "未披露"
},
"contact": {
"recruiter_name": "未披露",
"contact_methods": [
{
"type": "apply_link",
"value": "https://campus-talent.alibaba.com/campus/position/199904260009?deptCodes="
}
]
},
"posting": {
"posting_id": "199904260009",
"post_date": "2026-04-17",
"hire_time": "未披露",
"update_date": "20260917",
"job_url": "https://campus-talent.alibaba.com/campus/position/199904260009?deptCodes="
},
"fulltext": "GenAI Business Development - Paris\nGenAI Business Development - Paris\n\n基础信息\n毕业起止时间要求:2027-11-01 - 2030-01-01\n职位类别:销售类\n招聘项目:阿里巴巴日常实习生\n工作地点:巴黎\n\n职位描述\nSupport Global AI Client Acquisition: Assist the team in scaling outreach to global AI clients—including AI-native startups, ISVs, AI data providers, and enterprises undergoing AI transformation—to help build a high-conversion sales pipeline through lead research, client profiling, and outreach support.\n1. AI Sales Process Support: Support the full lifecycle of AI MaaS opportunities in EUS markets—from lead collection and qualification to client communication and deal progression—working alongside solution and product teams to drive token consumption and revenue growth.\n2.Market Research & GTM Strategy Support: Track GenAI trends including foundation model evolution, agent frameworks, AI infrastructure, and competitor dynamics; assist with market research, analysis, and GTM strategy development.\n3. AI Client Relationship Support: Assist the team in communicating with technical decision-makers and business leads at global AI-focused companies; participate in client visits and meetings to help drive satisfaction and retention.\n4. Cross-Functional Collaboration Support: Work with AI solutions, product, and marketing teams on day-to-day activities; assist in planning and executing technical workshops, demos, and campaigns; help prepare marketing materials and organize events.\n\n职位要求\n1. Education: Currently pursuing a Bachelor's degree or above in Computer Science, AI, Data Science, Business, Marketing, or related majors.\n2. Availability: 5 days per week on-site, able to commit to at least 6 months of internship.\n3. AI Awareness & Interest:\n-Strong interest in Generative AI, large language models, and AI applications; regularly uses mainstream LLMs (e.g., ChatGPT, Claude, Qwen) and follows industry trends.\n-Basic understanding of large model and MaaS concepts with initial awareness of AI commercialization; familiarity with prompt engineering or vibe coding is a plus.\n-Good logical thinking, strong interpersonal and communication skills with the ability to express ideas clearly. Prior internship experience in sales, marketing, or consulting is preferred.\n-Cloud & AI Fundamental Understandings: Basic understanding of cloud computing and AI infrastructure products (e.g., GPU, MaaS, RAG, Agents), or willingness to learn quickly.\n4. Mindset: Fast learner, results-driven, self-motivated, and passionate about AI innovation in fast-paced environments.\n5. Global Communication: Fluent in French and English with strong written and verbal communication skills. Overseas study or exchange experience is a plus. Proficiency in Italian or Spanish is a plus.\n\n在招业务\n阿里云\nSupport Global AI Client Acquisition: Assist the team in scaling outreach to global AI clients—including AI-native startups, ISVs, AI data providers, and enterprises undergoing AI transformation—to help build a high-conversion sales pipeline through lead research, client profiling, and outreach support.\n1. AI Sales Process Support: Support the full lifecycle of AI MaaS opportunities in EUS markets—from lead collection and qualification to client communication and deal progression—working alongside solution and product teams to drive token consumption and revenue growth.\n2.Market Research & GTM Strategy Support: Track GenAI trends including foundation model evolution, agent frameworks, AI infrastructure, and competitor dynamics; assist with market research, analysis, and GTM strategy development.\n3. AI Client Relationship Support: Assist the team in communicating with technical decision-makers and business leads at global AI-focused companies; participate in client visits and meetings to help drive satisfaction and retention.\n4. Cross-Functional Collaboration Support: Work with AI solutions, product, and marketing teams on day-to-day activities; assist in planning and executing technical workshops, demos, and campaigns; help prepare marketing materials and organize events.\n1. Education: Currently pursuing a Bachelor's degree or above in Computer Science, AI, Data Science, Business, Marketing, or related majors.\n2. Availability: 5 days per week on-site, able to commit to at least 6 months of internship.\n3. AI Awareness & Interest:\n-Strong interest in Generative AI, large language models, and AI applications; regularly uses mainstream LLMs (e.g., ChatGPT, Claude, Qwen) and follows industry trends.\n-Basic understanding of large model and MaaS concepts with initial awareness of AI commercialization; familiarity with prompt engineering or vibe coding is a plus.\n-Good logical thinking, strong interpersonal and communication skills with the ability to express ideas clearly. Prior internship experience in sales, marketing, or consulting is preferred.\n-Cloud & AI Fundamental Understandings: Basic understanding of cloud computing and AI infrastructure products (e.g., GPU, MaaS, RAG, Agents), or willingness to learn quickly.\n4. Mindset: Fast learner, results-driven, self-motivated, and passionate about AI innovation in fast-paced environments.\n5. Global Communication: Fluent in French and English with strong written and verbal communication skills. Overseas study or exchange experience is a plus. Proficiency in Italian or Spanish is a plus.",
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}