招聘

Program Manager II, Product Lifecycle Management Processes, Cloud Supply Chain
·
On-site
·
Full-time
·
1w ago
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Analyze and document current Product Lifecycle Management (PLM) processes (e.g., Part Creation, BOM Management, Change Management) to pinpoint inefficiencies and translate findings into concrete project proposals and solution requirements for AI application.
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Contribute to the roadmap and own the tactical execution plan for AI-enabled Product Lifecycle Management (PLM) pilot projects and phased rollouts.
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Build compelling business cases for AI pilot projects by quantifying value (e.g., cost savings from reduced errors, faster time-to-market) and defining clear, measurable success metrics for tactical deliverables.
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Act as the primary liaison between technical teams and key business stakeholders, including Hardware Design Engineering, NPI, Manufacturing, Supply Chain, and Key Manufacturers.
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Partner with IT and data teams to ensure that Product Lifecycle Management (PLM) data is clean, consistent, and ready for use in AI/ML models.
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Bachelor's degree or equivalent practical experience.
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2 years of experience in program or project management.
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Experience with product lifecycle management (PLM) systems.
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Experience implementing artificial intelligence.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
L9
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Intern
Director
Junior/L3 · Associate Product Manager 2 (APM2)
0份报告
$183,233
年薪总额
基本工资
-
股票
-
奖金
-
$155,748
$210,718
面试经验
9次面试
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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