招聘

Partner Domain Specialist AI & Data Analytics, Korea Partner Orgaznization
Seoul, KOR
·
On-site
·
Full-time
·
3w ago
AWS Korea is seeking a Partner Domain Specialist (PDS) for Data & Analytics and AI to accelerate cloud adoption by building a high-impact partner ecosystem. You'll work with top-tier partners to develop AI/ML, GenAI, Analytics, Database, and Storage capabilities that deliver transformative customer outcomes across all segments in Korea.
In this role, you will own the Data & Analytics partner domain playbook, manage strategic partner relationships, and drive governance mechanisms that ensure a healthy and growing partner ecosystem. You'll collaborate with partner managers, solution architects, specialist sales, and cross-functional teams to position and scale partner capabilities. The Korea Partner Team will look to you as the expert on Data & Analytics partner strategy and execution.
- Key job responsibilities
- Identify and engage IT service providers and partners (MSPs, resellers, professional services firms) prepared to lead market transition to Cloud in Data & Analytics domain
- Create and articulate compelling value propositions around AWS Data & Analytics services for partners in specific customer segments and industry verticals
- Position AWS for internal use by partner organizations, ensuring AWS is the preferred cloud platform across all product lines
- Collaborate with specialist sales teams on strategic Data & Analytics initiatives, contributing to top deals through technical validation and partner orchestration
- Own design and delivery of Partner Builder program and Korea Partner Heatmap for Data & Analytics capabilities
- Lead strategic relationships with top partners, driving business planning and capability development aligned to customer adoption journey
- Understand technical and training requirements of partners, working closely with internal AWS teams
- Enable internal AWS teams on Data & Analytics strategy, funding mechanisms, and market intelligence
- Maintain robust partner pipeline and conduct regular performance reviews using CRM systems and analytic tools
- Prepare and deliver business reviews to senior management
A day in the life
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
About the team
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Basic Qualifications
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Bachelor's degree
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience explaining complex technical concepts to various business and technical audiences
Preferred Qualifications
- Experience interpreting data and making business recommendations
- Experience in Go-To-Market, Business Development, Sales, or Consulting
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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