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トレンド企業

トレンド企業

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求人Google

GenAI Technical Program Manager, DeepMind

Google

GenAI Technical Program Manager, DeepMind

Google

·

On-site

·

Full-time

·

2w ago

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Artificial intelligence will be one humanity’s most transformative inventions. At Google 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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $256,000-$278,000 + 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

  • Lead and drive progress across user simulators and EDU as well as other areas like agentic services to enable GenAI to increase its operating velocity.

  • Manage dependencies across workstreams, functions and organizations.

  • Drive and lead engineering teams to identify, prioritize and track tasks to completion targets. Communicate progress, risks and plans to leadership on a regular basis.

  • Leverage AI tools and build agents to identify operational and process improvements and quickly set-up lightweight processes to fill gaps.

  • Partner closely with PM and Eng leads to understand and influence product direction and ensure execution matches.

Minimum qualifications

  • Bachelor's degree in a technical field or equivalent practical experience

  • 8 years of experience in technical/engineering program management

Preferred qualifications

  • Ability to navigate ambiguity, support multiple projects, and meet deadlines in a fast-paced environment

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Googleについて

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

3.7

25件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.4

キャリア

3.9

経営陣

2.8

68%

友人に勧める

良い点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

改善点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

給与レンジ

57,502件のデータ

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件のレポート

$183,233

年収総額

基本給

-

ストック

-

ボーナス

-

$155,748

$210,718

面接体験

9件の面接

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense