
Organizing the world's information and making it universally accessible.
Product Manager, On-Device AI for Pixel Watch
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Define and lead a clear product direction, road-map, and strategic plan for on-device AI experiences, effectively integrating emerging AI technologies and ensuring alignment with organizational mission and evolving user needs.
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Develop and prioritize product requirements by synthesizing user feedback, UX research, market trends, and competitive analysis, proactively clarifying ambiguities and working to align experiences to also leverage the broader capabilities of the Pixel phone and wearables ecosystem of products.
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Own and drive go-to-market strategies to highlight the new capabilities of the device, spanning on-device user experiences as well as ecosystem enablements, and unique/bespoke AI model implementations.
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Maintain technical knowledge in the ever evolving AI space and drive rapid prototyping cycles, gathering targeted user feedback to iteratively refine AI products and swiftly respond to technical breakthroughs.
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Bachelor's degree or equivalent practical experience.
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3 years of experience in product management or related technical role.
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1 year 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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Experience building consumer facing software products.
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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
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