refresh

Trending companies

Trending companies

Jobs

JobsGoogle

Technical Program Manager, Applied AI

Google

Technical Program Manager, Applied AI

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.

Platforms and Devices Engineering Infrastructure and Operations (PDEIO) is responsible for engineering productivity, infrastructure, and release efficiency for Android, Chrome Browser, ChromeOS, and other products and services at Google.

In this role, you will lead cross-functional programs. You will work with Product, Engineering, and other cross-functional stakeholders to drive end-to-end programs execution for Agentic Artificial Intelligence (AI).

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

  • Be responsible for program scoping, planning, creating and managing integrated schedules, setting milestones and program tracking.

  • Use leadership, product and technical judgment to drive program delivery, and working with engineering teams.

  • Navigate multiple work streams, functional and technical concepts, and conversations across different areas and stakeholders to drive collaboration.

  • Define launch metrics for AI features for partner teams.

  • Standardize the approach for data collection, training, and feedback pipelines to facilitate expansion of AI features to stakeholders.

Minimum qualifications

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

  • 2 years of experience in program management.

Preferred qualifications

  • 4 years of experience with managing technical projects.

  • Experience with cross-functional stakeholder management and leadership.

  • Experience in testing and launching software products.

  • Excellent communication skills.

  • Excellent collaboration skills, with the ability to deliver solutions in a changing environment.

Total Views

0

Apply Clicks

0

Weekly mock applicants

0

Bookmarks

0

About Google

Google

Google

Public

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

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

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 reports

$183,233

total per year

Base

-

Stock

-

Bonus

-

$155,748

$210,718

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense