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职位Google

Senior Product Manager, Games, DeepMind

Google

Senior Product Manager, Games, DeepMind

Google

·

On-site

·

Full-time

·

1w ago

  • Identify external development groups capable of building AI-native gameplay and partner with business development teams to forge new partnerships that serve research and commercial needs.

  • Influence strategy by offering timely context, insights and guidance without the need for direct control.

  • Enhance an experience that resonates for players by collaborating with researchers, designers and engineers, setting clear development milestones, and tracking creative health of the project.

  • Set requirements for fine-tuning and evaluation frameworks to optimize for player experiences.

  • Design and monitor community feedback loops to understand player sentiment.

Deep Mind has long-established connections with gaming, whether through early AI-breakthroughs mastering Atari games or Starcraft, and more recent research with genie and SIMA agents.

This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable and portfolio of early stage, design focused projects, with a focus on breakthrough experiences that would not be possible without AI.

As a Product Manager, you will have knowledge of gaming and interactive experiences to expand and strengthen our partnerships and collaborations with game developers and platforms, both internal and external.

In this role, your mission is to architect and manage high-impact partnerships and facilitate the creation of gaming experiences that would not be possible without AI. You will bring these to life by connecting Deep Mind AI-research with gaming use-cases, building cross-functional, cross-organization collaborations in the pursuit of fun. Operating with a user-centric mindset, you will identify partners, structure agreements, and manage experimental projects through early-stage products. You will ensure that our collaborations go beyond technical demos, to build breakthrough experiences that connect with real player communities.

Artificial intelligence will be one humanity’s most transformative inventions. At Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience as a product manager or video game producer managing a portfolio for a games publisher, fund or platform.

  • Experience managing game development with cross-functional teams from concept to live service.

  • Experience in the creative process and the financial mechanics of the games industry.

  • Experience with AI-powered workflows, including designing and building prototypes with AI.

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关于Google

Google

Google

Public

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