{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Alibaba Cloud Intelligence-Market Intelligence Expert-Hong Kong SAR",
        "job_level": "未披露",AI生成
        "work_category": "全职",AI生成
        "department": "云智能集团",
        "location": "中国香港",
        "work_mode": "未披露",AI生成
        "job_category": "未披露"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。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": 5,
        "degree": "本科",
        "language": "5. Strong cross-functional communication and collaboration skills, with the ability to provide clear judgments and actionable recommendations to sales, product, and management teams. The candidate should be hands-on, results-oriented, and willing to work ",AI生成
        "visa_support": "未披露",
        "responsibilities": "1. Identify high-potential AI native and enterprise AI-related customers. Continuously track, build, and maintain a high-potential customer pool, and conduct preliminary assessments of each customer’s development stage, business model, AI use cases and business scenarios, cloud and AI related requirements, and potential entry points.\n2. Convert market insights into leads gen capabilities. Translate industry trends, customer signals, and competitive dynamics into sales-actionable lead lists, customer segmentation, priority rankings, and outreach recommendations.\n3. Assess customer needs and sales conversion potential. Validate customer potential through multiple information sources, determine whether customers have clear needs for cloud services, computing resources, model services, and related solutions, and provide sales teams with conversion path recommendations, including suggested business entry points, key contact profiles, and initial communication angles.\n4. Collaborate cross-functionally and build a closed-loop business process. Work with sales teams to establish a closed-loop mechanism covering customer identification, evaluation, sales follow-up, conversion tracking, and continuous iteration. Regularly collect sales feedback on lead quality, customer responses, conversion results, and reasons for non-conversion, and use the feedback to optimize customer screening criteria and analytical models.",
        "requirements_text": "1. 5+ years of experience in market intelligence, industry research, AI products analysis, investment research, or related fields. The candidate should have interest in and understanding of the AI related industry, with familiarity in at least one area such as AI application companies, AI infrastructure, model services, or venture capital-related ecosystems.\n2. Ability to identify potential customers and business opportunities from complex market information, convert insights into actionable customer lists and sales recommendations, and establish customer screening and evaluation frameworks to assess customer potential, demand intensity, conversion timing, competitive dynamics, and recommended priority.\n3. Familiarity with methodologies and tools for industry research, market intelligence, competitive analysis, customer analysis, business model analysis, and GTM analysis. Outputs should be business-oriented and directly usable by sales teams, such as customer profiles, opportunity assessments, entry-point recommendations, and competitive insights, rather than only trend reports.\n4. Strong passion for the AI industry and strong learning agility, with the ability to continuously track AI technologies, products, startups, capital flows, and evolving customer needs.\n5. Strong cross-functional communication and collaboration skills, with the ability to provide clear judgments and actionable recommendations to sales, product, and management teams. The candidate should be hands-on, results-oriented, and willing to work closely with frontline business teams to validate lead quality and conversion outcomes. Fluent English is required.",
        "skills": [AI生成
            "团队协作"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://careers.aliyun.com/off-campus/position-detail?positionId=100016443001"
            }
        ]
    },
    "posting": {
        "posting_id": "100016443001",
        "post_date": "2026-09-15",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://careers.aliyun.com/off-campus/position-detail?positionId=100016443001"
    },
    "fulltext": "Alibaba Cloud Intelligence-Market Intelligence Expert-Hong Kong SAR\nAlibaba Cloud Intelligence-Market Intelligence Expert-Hong Kong SAR\n\n基础信息\n工作地点：中国香港\n\n职位描述\n1. Identify high-potential AI native and enterprise AI-related customers. Continuously track, build, and maintain a high-potential customer pool, and conduct preliminary assessments of each customer’s development stage, business model, AI use cases and business scenarios, cloud and AI related requirements, and potential entry points.\n2. Convert market insights into leads gen capabilities. Translate industry trends, customer signals, and competitive dynamics into sales-actionable lead lists, customer segmentation, priority rankings, and outreach recommendations.\n3. Assess customer needs and sales conversion potential. Validate customer potential through multiple information sources, determine whether customers have clear needs for cloud services, computing resources, model services, and related solutions, and provide sales teams with conversion path recommendations, including suggested business entry points, key contact profiles, and initial communication angles.\n4. Collaborate cross-functionally and build a closed-loop business process. Work with sales teams to establish a closed-loop mechanism covering customer identification, evaluation, sales follow-up, conversion tracking, and continuous iteration. Regularly collect sales feedback on lead quality, customer responses, conversion results, and reasons for non-conversion, and use the feedback to optimize customer screening criteria and analytical models.\n\n职位要求\n1. 5+ years of experience in market intelligence, industry research, AI products analysis, investment research, or related fields. The candidate should have interest in and understanding of the AI related industry, with familiarity in at least one area such as AI application companies, AI infrastructure, model services, or venture capital-related ecosystems.\n2. Ability to identify potential customers and business opportunities from complex market information, convert insights into actionable customer lists and sales recommendations, and establish customer screening and evaluation frameworks to assess customer potential, demand intensity, conversion timing, competitive dynamics, and recommended priority.\n3. Familiarity with methodologies and tools for industry research, market intelligence, competitive analysis, customer analysis, business model analysis, and GTM analysis. Outputs should be business-oriented and directly usable by sales teams, such as customer profiles, opportunity assessments, entry-point recommendations, and competitive insights, rather than only trend reports.\n4. Strong passion for the AI industry and strong learning agility, with the ability to continuously track AI technologies, products, startups, capital flows, and evolving customer needs.\n5. Strong cross-functional communication and collaboration skills, with the ability to provide clear judgments and actionable recommendations to sales, product, and management teams. The candidate should be hands-on, results-oriented, and willing to work closely with frontline business teams to validate lead quality and conversion outcomes. Fluent English is required.\n1. Identify high-potential AI native and enterprise AI-related customers. Continuously track, build, and maintain a high-potential customer pool, and conduct preliminary assessments of each customer’s development stage, business model, AI use cases and business scenarios, cloud and AI related requirements, and potential entry points.\n2. Convert market insights into leads gen capabilities. Translate industry trends, customer signals, and competitive dynamics into sales-actionable lead lists, customer segmentation, priority rankings, and outreach recommendations.\n3. Assess customer needs and sales conversion potential. Validate customer potential through multiple information sources, determine whether customers have clear needs for cloud services, computing resources, model services, and related solutions, and provide sales teams with conversion path recommendations, including suggested business entry points, key contact profiles, and initial communication angles.\n4. Collaborate cross-functionally and build a closed-loop business process. Work with sales teams to establish a closed-loop mechanism covering customer identification, evaluation, sales follow-up, conversion tracking, and continuous iteration. Regularly collect sales feedback on lead quality, customer responses, conversion results, and reasons for non-conversion, and use the feedback to optimize customer screening criteria and analytical models.\n1. 5+ years of experience in market intelligence, industry research, AI products analysis, investment research, or related fields. The candidate should have interest in and understanding of the AI related industry, with familiarity in at least one area such as AI application companies, AI infrastructure, model services, or venture capital-related ecosystems.\n2. Ability to identify potential customers and business opportunities from complex market information, convert insights into actionable customer lists and sales recommendations, and establish customer screening and evaluation frameworks to assess customer potential, demand intensity, conversion timing, competitive dynamics, and recommended priority.\n3. Familiarity with methodologies and tools for industry research, market intelligence, competitive analysis, customer analysis, business model analysis, and GTM analysis. Outputs should be business-oriented and directly usable by sales teams, such as customer profiles, opportunity assessments, entry-point recommendations, and competitive insights, rather than only trend reports.\n4. Strong passion for the AI industry and strong learning agility, with the ability to continuously track AI technologies, products, startups, capital flows, and evolving customer needs.\n5. Strong cross-functional communication and collaboration skills, with the ability to provide clear judgments and actionable recommendations to sales, product, and management teams. The candidate should be hands-on, results-oriented, and willing to work closely with frontline business teams to validate lead quality and conversion outcomes. Fluent English is required.",
    "standard_classification": {
        "std_category_code": "B026",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}