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VP, Workspace Drive

Google

VP, Workspace Drive

Google

·

On-site

·

Full-time

·

1w ago

  • Lead and scale a global engineering organization, fostering a culture of innovation among senior leadership.

  • Define and execute the technical roadmap for Drive’s AI transformation.

  • Partner with product and sales to accelerate Drive’s commercial subscription growth, building a competitive pure-play storage offering for the enterprise market.

  • Maintain the high performance of a 2-billion-user platform while evolving its architecture to support new AI modalities and cloud-to-desktop integration.

  • Cultivate a high-performing team and foster enhanced collaborative relationships with GDM teams to demonstrably improve the velocity and overall quality of product delivery.

  • Bachelor’s degree in Computer Science or equivalent practical experience.

  • 15 years of experience in engineering leadership.

  • 5 years of experience in the integration of LLMs.

  • 3 years of experience architecting and deploying GenAI-driven features within global consumer-facing products.

  • Experience leading globally-dispersed engineering teams of 300+.

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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