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Software Engineering Manager, Agentic AI

Google

Software Engineering Manager, Agentic AI

Google

·

On-site

·

Full-time

·

1w ago

  • Propose, design, and develop new functionality to create a robust automation system for Google's supply chain and data center deployments.

  • Ensure our production-facing Service Level Objectives (SLOs) are met while continuously adding new capabilities to our software.

  • Influence, review, and represent our team across leadership forums.

  • Leverage Agentic AI to improve automation and reduce turnaround times.

  • Lead and drive long-term software architecture and roadmaps to build and deploy Agentic AI applications to manage rack deployments of GPUs, TPUs, and networking racks.

  • Bachelor’s degree, or equivalent practical experience.

  • 8 years of experience in software development.

  • 3 years of experience in a technical leadership role.

  • 2 years of experience in a people management or team leadership role.

  • Experience with distributed systems.

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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

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

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