招聘
福利待遇
•Equity
•Healthcare
•Unlimited Pto
•Parental Leave
•Learning
•Remote Work
必备技能
SQL
Python
Airflow
About the job
As a Product Manager on YouTube Music's Generative AI team, you’ll oversee the development, integration, and launch of YouTube’s generative music experiences used by viewers and creators across the portfolio of YouTube’s products. This is a unique opportunity to have an impact on billions of users across multiple YouTube products.
Our mission is to empower anyone in the world to express themselves and be their most creative. We aim to lower the barriers to engaging content by enabling new music experiences with generative AI.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Launch new generative AI products and features, evaluate and test their performance, and iterate quickly.
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Work collaboratively with engineering, UX, research, marketing, legal, privacy, Trust & Safety, and other teams on defining and executing cutting edge technologies.
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Define the metrics to measure generative AI tools’ performance and quality in production and collaborate with partner teams to come up with a shared understanding of success metrics.
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Partner with teams across YouTube and Google to define new use cases and innovations for new experiences that help viewers and creators engage with music.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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5 years of experience in consumer product management or related technical role.
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2 years of experience taking technical products from conception to launch working with UX and UXR to define user-facing product requirements.
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Experience with AI/ML models and evaluations.
Preferred qualifications
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Master’s degree or PhD in a technology or business related field.
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3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
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3 years of experience in a role preparing and delivering technical presentations to senior leadership.
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2 years of experience in software development or engineering.
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2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
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1 year of experience in technical leadership.
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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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