
Organizing the world's information and making it universally accessible.
Product Manager II, AI Health Foundations
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Partner with Research to define requirements for Human Performance Algorithms, optimizing for high-confidence activity detection and signal reliability in complex, real-world environments.
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Own the end-to-end journey of user data across hardware, mobile, and cloud surfaces, managing technical solutions to eliminate latency and systemic friction.
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Establish trust goals for the intelligence stack, and develop metrics and transparency frameworks to ensure AI-driven insights are technically accurate.
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Author high-complexity specifications that translate ambiguous biometric and system challenges into executable engineering workstreams. Act as the primary technical bridge between Device Engineering, AI Research, and Gemini teams to align roadmaps and unlock new agentic capabilities.
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Comply with all company health and safety policies, procedures, and legal requirements.
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
As a Product Manager within the Platform and Devices Health team, you will be the primary architect of the data nervous system that powers the Google Health Coach. This role sits at the high-stakes intersection of hardware sensors, distributed systems, and Generative AI.
You will ensure that Google Health has access to a continuous and real-time stream of biometric data. You will manage the journey of biometric data from detection on a device to transformation into an AI insight. Also, you will solve latency challenges and define real-time health for users.
Fitbit’s wide range of innovative products, including smartwatches, trackers, and a smart scale, help people lead healthier, more active lives by empowering them with data, inspiration, and guidance to reach their health and fitness goals. Coupled with our leading software and Fitbit Premium, our immersive platform experience delivers personalized experiences, insights, and guidance to support our users’ health and wellness. Fitbit’s mission has always been to help make everyone in the world healthier and now, as part of Google we’ll be able to make health even more accessible to everyone.
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Bachelor's degree or equivalent practical experience.
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5 years of experience in product management or related technical role.
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2 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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