Google
G

Google

Internet & Web Services

Apt Insight

They offer world-class compensation, massive infrastructure challenges, and unmatched brand prestige, making them an enduringly attractive destination for top engineering talent. Based in Mountain View, California, they operate as a global internet and cloud computing giant with more than one hundred offices worldwide. With a workforce well above ten thousand employees, they continue to hire actively across technical and operational roles with thousands of open postings. High employee sentiment is reflected across strong compensation, culture, and business outlook ratings. Overall, their immense scale provides tremendous resources alongside the typical complexities of a massive enterprise.
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About

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have over a hundred thousand employees and over one hundred offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe. So whether you want to be a part of developing innovative technology, campaigns, products or partnerships, your work here is a chance to accomplish things that matter. To learn more about our job opportunities, teams, offices, benefits and workplace culture, visit careers.google.com.
Founded1998
HeadquartersMountain View, US
IndustryInternet & Web Services
Websiteabout.google
Employees334.2K
Total Funding$1.7B

Posted base pay at Google

Posted base pay ranges from 9,610 job listings posted in the US, Dec 2025 – Oct 2026. Bonus and equity are not included.
Senior Software Engineer$174K–$252K/yr
442 listings · spread $174K–$253K/yr
Staff Software Engineer$207K–$300K/yr
371 listings · spread $207K–$301K/yr
Software Engineer III$147K–$211K/yr
348 listings · spread $147K–$211K/yr
Software Engineer$147K–$211K/yr
269 listings · spread $147K–$253K/yr
Technical Program Manager III$163K–$237K/yr
202 listings · spread $163K–$237K/yr
Technical Program Manager$192K–$278K/yr
186 listings · spread $138K–$279K/yr
Product Manager$163K–$236K/yr
139 listings · spread $138K–$278K/yr
Senior Staff Software Engineer$262K–$365K/yr
136 listings · spread $262K–$365K/yr
Each range is the median posted minimum and maximum for the role. Pay changes by location, so the spread shows the 10th to 90th percentile of all listings for the role.

Posted base pay range by level at Google

Posted base pay ranges for software engineers by level, from 1,303 job listings posted in the US, Feb 2026 – Oct 2026. Bonus and equity are not included.
L3
Software Engineer II
$123K–$175K/yr
6 listings · spread $123K–$205K/yr
L4
Software Engineer III
$147K–$211K/yr
348 listings · spread $147K–$211K/yr
L5
Senior Software Engineer
$174K–$252K/yr
442 listings · spread $174K–$253K/yr
L6
Staff Software Engineer
$207K–$300K/yr
371 listings · spread $207K–$301K/yr
L7
Senior Staff Software Engineer
$262K–$365K/yr
136 listings · spread $262K–$365K/yr
The postings do not state the level. Apt gives each posted title the level that it has in the employer's own title system. Each range is the median posted minimum and maximum, and the spread is the 10th to 90th percentile, because pay changes by location.

Open roles at Google

The 10 newest of 2,260 open roles.
Agentic Data Cloud Sales Specialist, Google CloudBoulder, Colorado · Onsite
Field Sales Representative II, Enterprise Growth, Google CloudAustin, Texas · Onsite
Software Engineer III, Infrastructure, CoreWaterloo, Ontario · Onsite
Agentic Data Cloud Database Engineer, Google CloudKirkland, Washington · Onsite
Energy Initiatives LeadWashington, District of Columbia · Onsite
Engineering Productivity Lead, Switch InfrastructureSunnyvale, California · Onsite
Network Implementation Engineer ManagerCouncil Bluffs, Iowa · Onsite
Senior Accelerators Systems Software Architect, AI TransformationSunnyvale, California · Onsite
Senior Associate, Global Product Solutions, Network ResponsibilityBoulder, Colorado · Onsite
Engineering Manager, MapsNew York, New York · Onsite

Why people join & leave

Why join
Industry-leading compensation and benefitsTechnical challenges at massive scaleSmart and collaborative colleaguesPrestige on an engineering resume
Why leave
Opaque and slow promotion processesCorporate bureaucracy and internal politicsHigh workload and risk of burnoutLimited mobility in operational roles

Company Pulse

Raised
$1.7Btotal
Recent: $1.7B raised

In the News

Orange Spain Expands Partnership with Google Cloud to Industrialize AI Operations with Gemini Enterprisegooglecloudpresscorner.com · Oct 8, 2026
Google expands SynthID Detector for AI contentblog.google · Oct 7, 2026
Create custom games without coding on Playgroundblog.google · Oct 7, 2026
Company Newsblog.google
Press Releasesgooglecloudpresscorner.com

Employee Experience

4.4/5
Career Opportunities
4.2
Compensation & Benefits
4.5
Culture & Values
4.3
Diversity & Inclusion
4.4
Senior Management
3.9
Work-Life Balance
4.2

Quick Take

Strengths
Top compensation ratingEarns a 90 rating for compensation and benefits from employee reviews.
Strong recommendation rate87% of employees would recommend working at the company to a friend.
Watch out
Lower management scoresSenior management scores 78, the lowest across core workplace rating categories.
Note
Award ranking slipRanked 28th on the Best Places to Work list in 2025, down from top-ten placements in prior years.

Things to consider

Bureaucracy and slow pace — Employees frequently note that massive scale, opaque promotion criteria, and layered management can significantly slow decision-making and career progression.
Role-dependent operational disparities — Data center and operations staff report limited upward mobility and grueling conditions compared to corporate software engineering tracks.

What They Build

They build globally distributed web platforms, search engines, enterprise cloud infrastructure, and consumer applications operating at planetary scale. Engineering involves complex distributed systems, high-throughput data processing, machine learning models, and custom hardware. Development relies on standardized internal platforms and high-reliability operational frameworks.
Artificial Intelligence
Cloud Infrastructure
Search Engine Technology
Online Advertising
Mobile Platforms
Domains
Distributed Systems
Machine Learning
Backend Architecture
Data Infrastructure
Security Engineering
Tech Stack
SAP HANA
SQLAlchemy
Red Hat
J2EE
AWS Lambda
Laravel
Mocha
Capybara
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