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Product Manager, Google Distributed Cloud, AI Compute Infrastructure
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Lead the strategy for GDC AI Compute Infrastructure supporting next-gen AI workloads.
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Lead the integration, deployment, and optimization of Gemini Infrastructure in air-gapped and regulated environments, ensuring performance and compliance.
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Drive the strategic selection and lifecycle management of AI accelerators, optimizing for TCO (Total Cost of Ownership), power constraints, and FLOPS utilization.
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Architect the compute requirements for both large-scale training and low-latency inferencing, including model quantization, batching, and serving optimization.
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Identify and resolve architectural bottlenecks and scaling challenges to ensure infrastructure reliability across globally distributed data center environments.
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Bachelor's degree or equivalent practical experience.
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10 years of experience in product management, or a related technical role.
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5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
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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
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Junior/L3
L6
L7
L8
L9
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Intern
Director
L3
L4
L5
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
面试评价
9条评价
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
最新动态
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1w ago
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