热门公司

Google
Google

Organizing the world's information and making it universally accessible.

Technical Program Manager, Generative AI Safety

职能产品
级别Lead级
方式现场办公
类型全职
发布3周前
立即申请
  • Lead complex, multi-quarter initiatives to expand our content safety infrastructure. Manage ambiguous issues, such as integrating specialized safety classifiers or building rapid response capabilities for AI abuse vectors.

  • Partner with cross-functional leaders to convert emerging threat intelligence and safety objectives into scalable, production-ready models and technical protections within our serving stack.

  • Orchestrate the strategy and execution of our Safety Engineering teams. Ensure our programs tangibly reduce abuse prevalence, improve user safety metrics, and optimize the person hours required for model training and deployment.

  • Manage global workflows, coordinating with regional teams to ensure continuous coverage, seamless handoffs, and timely integration and evaluation of safety models for business-critical Gemini releases.

  • Coordinate between Infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models.

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.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

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

  • 5 years of experience in program management.

  • 2 years of experience developing or launching products or technologies within safety, security, privacy, or a related area.

  • Experience with generative AI and machine learning

  • Experience managing multi-quarter technical programs involving distributed systems, machine learning pipelines, or infrastructure.

  • Experience designing cross-functional engagement models and operations to lead teams through the full execution lifecycle.

浏览量

0

申请点击

0

Mock Apply

0

收藏

0

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

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