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트렌딩 기업

채용

채용Google

Technical Program Manager III, AI/ML Transformation, AI and Infrastructure

Google

Technical Program Manager III, AI/ML Transformation, AI and Infrastructure

Google

·

On-site

·

Full-time

·

2w 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 projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As a Technical Program Manager, you will join the AI and Infrastructure Programs team to drive large-scale transformation across the organization. You will mobilize cross-functional teams, deliver solutions for scale, and drive data-driven decision making to deliver a sustainable program that supports and accelerates the transformation of the AI and Infrastructure organization. Your passion, technical and business depth, and excellent organizational, communication, and people management skills will inspire our teams and rapidly establish trust amongst a different set of stakeholders and customers.

In this role, you will solve challenging business and engineering problems. You will contribute leadership and experience managing across disciplines to produce results in a timely manner. You will drive execution of cross-cutting, complex programs and actions to closure, resolve problems and gain alignment, identify trends, determine improvement areas, and implement change.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $163,000-$237,000 + 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

  • Set program outlook and direction, working with cross-functional stakeholders to outline goals and objectives.

  • Drive the planning and implementation of strategic and transformational programs, working closely with leads and stakeholders across multiple functions. Establish goals, schedule, milestones, and manage dependencies and anticipate/resolve execution issues.

  • Be the trusted owner of the status of your projects/programs. Drive visibility on progress, dependencies, risks, or issues to executives and other stakeholders.

  • Manage communication of progress/status with customer groups in various locations and time zones. Own and nurture relationships between cross-functional teams.

  • Leverage your domain expertise, program management experience and leadership skills to help the team improve processes, accelerate program execution, and drive better quality, productivity and efficiency across the portfolio.

Minimum qualifications

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

  • 5 years of experience in program management.

  • Experience in Machine Learning or Artificial Intelligence.

  • Experience in product life cycle management within hardware, software, or supply chain.

Preferred qualifications

  • 5 years of experience managing cross-functional or cross-team projects.

  • Experience developing technology/operational strategy and translating strategies into program/project plans.

  • Experience in leading transformation initiatives in operations/supply chain or management consulting.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Google 소개

Google

Google

Public

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

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense