refresh

Trending companies

Trending companies

Jobs

JobsGoogle

Senior Leadership Technical Program Manager, AI and ML

Google

Senior Leadership Technical Program Manager, AI and ML

Google

·

On-site

·

Full-time

·

1w ago

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Responsibilities

  • Devise, direct, and deliver a portfolio of strategic programs by partnering across global teams to deliver scalable technical capabilities that enable Geo’s priorities with specific focus on the User-Generated Content (UGC) ecosystem.

  • Manage and coach a team of Technical Program Managers to deliver on strategic project goals for UGC and scaled capabilities to sustain and improve the UGC moderation ecosystem.

  • Develop transformational opportunities for human and machine intelligence across technical development and maintenance projects that have an impact on productivity and product goals.

  • Design and deliver experiments and proofs of concept to vet product ideas and develop and test experimental solutions from an automation point of view.

  • Use technical knowledge and data driven insights to anticipate and solve Geo’s most complex projects/problems.

Minimum qualifications

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

  • 10 years of experience in technical program management.

  • 7 years of experience in leadership role(s) with or without direct reports.

Preferred qualifications

  • 10 years of experience managing cross-functional/team projects.

  • 5 years of experience in ML and AI.

  • Experience leading the development of global technical capabilities in a matrixed environment, operating as an executive manager.

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