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Google Salaries Revealed: How Much Software Engineers, Others Are Paid

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As the AI talent wars rage on, Google and other tech giants are shelling out top dollar to lure top talent.

Google has long been revered within Silicon Valley for its generous compensation packages, and its DeepMind unit even resorted to aggressive noncompetes in the UK.

At the same time, Google has made changes to its compensation processes in recent months as others in the tech industry — like Meta and Microsoft — have sought to weed out low performers.

In April, the search giant changed the way it ranked employees in their yearly performance reviews. Its head of compensation told staff in a memo that “high performance is more important than ever,” Business Insider previously reported.

While Google keeps salary data confidential, publicly available work-visa data can provide a glimpse into how much it pays for certain roles. The figures are derived from filings all companies submit to the Labor Department to obtain work visas for foreign workers.

Google employs thousands of software engineers through this process, and according to the data, they can command salaries as high as $340,000.

It’s worth noting that these figures only reflect salaries and don’t account for the equity or bonuses that Google employees also receive.

In 2023, Business Insider obtained an internal spreadsheet where thousands of Googlers self-reported their 2022 pay, including some equity and bonus data. Despite the relatively high sums, many said they still felt underpaid.

Google did not immediately respond to a request for comment from Business Insider.

Here’s what Google is paying across key roles, based on roughly 6,800 applications from the first quarter of 2025.

Business and analyst roles: Financial analysts can make over $200,000

Account Manager: $85,500 to $166,000

Business Systems Analyst: $141,000 to $201,885

Financial Analyst: $102,000 to $225,230

Search Quality Analyst: $120,000 to $235,000

Engineering roles: Google software engineers can take home as much as $340,000


FILE PHOTO: Three of the fleet of 600 Waymo Chrysler Pacifica Hybrid self-driving vehicles are parked and displayed during a demonstration in Chandler, Arizona, November 29, 2018.  REUTERS/Caitlin O’Hara/File Photo

Software engineers at Google-owned Waymo can get paid between $150,000 and $282,000.

Reuters



Application Engineer: $138,000 to $199,000

Customer Engineer: $85,009.60 to $228,000

Customer Solutions Engineer: $108,000 to $228,000

Data Engineer: $111,000 to $175,000

Electrical Engineer: $119,000 to $203,000

Hardware Engineer: $130,000 to $284,000

Network Engineer: $108,000 to $195,000

Research Engineer: $153,000 to $265,000

Security Engineer: $97,000 to $233,000

Senior Software Engineer: $187,000 to $253,000

Silicon Design Verification Engineer: $126,000 to $207,050

Silicon Engineer: $146,000 to $252,000

Silicon Generalist: $144,000 to $223,000

Software Engineer: $109,180 to $340,000

Software Engineer (Waymo): $150,000 to $282,000

Software Engineer Manager: $199,000 to $316,000

Software Engineer, Site Reliability Engineer: $133,000 to $258,000

Staff Software Engineer: $220,000 to $323,000

Scientist roles: A research scientist can make as much as $303,000

Data Scientist: $133,000 to $260,000

Research Scientist: $155,000 to $303,000

Managing roles: Google’s highest-paid product managers can make as much as $280,000

Product Manager: $136,000 to $280,000

Program Manager: $125,000 to $236,000

Technical Program Manager: $116,000 to $270,000

Consulting roles: A solutions consultant can make as much as $282,000

Solutions Consultant: $100,000 to $282,000

Technical Solutions Consultant: $110,000 to $253,000

Design roles: A UX designer at Google can pocket as much as $230,000

UX Designer: $124,000 to $230,000

UX Researcher: $124,000 to $224,000





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National Trust to cut 550 jobs after Budget pushes up costs

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The National Trust has announced plans to cut 6% of its current workforce, about 550 jobs, partly blaming an inflated pay bill and tax rises introduced by Chancellor Rachel Reeves.

The heritage and conservation charity said it was under “sustained cost pressures beyond our control”.

These include the increase in National Insurance contributions by employers and the National Living Wage rise from April, which the National Trust said had driven up wage costs by more than £10m a year.

The cost-cutting measures are part of a plan to find £26m worth of savings.

“Although demand and support for our work are growing with yearly increases in visitors and donations; increasing costs are outstripping this growth,” the charity said in a statement.

“Pay is the biggest part of our costs, and the recent employer’s National Insurance increase and National Living Wage rise added more than £10m to our annual wage bill.”

A 45-day consultation period with staff began on Thursday and the Trust – which currently has about 9,500 employees – said it was working with the Prospect union “to minimise compulsory redundancies”.

Prospect said though cost pressures were partly to blame, “management decisions” also contributed to the Trust’s financial woes.

The union’s deputy general secretary, Steve Thomas, said “once again it is our member who will have to pay the price”.

“Our members are custodians of the country’s cultural, historic and natural heritage – cuts of this scale risk losing institutional knowledge and skills which are vital to that mission,” he said.

The Trust is running a voluntary redundancy scheme, and is expecting that to significantly reduce compulsory redundancies, a spokeswoman said.

The job cuts will affect all staff from management down, and everyone whose job is at risk will be offered a suitable alternative where available, the spokeswoman added.

Following consultations, which will finish in mid-to-late August, the cuts will be made in the autumn.

Chancellor Rachel Reeves announced the rise in National Insurance contributions by employers in last October’s Budget.

But the move led to strong criticism from many firms, with retailers warning that High Street job losses would be “inevitable” when coupled with other cost increases.

The hike in employer NICs is forecast to raise £25bn in revenues by the end of the parliament.



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GPTBots.ai’s Business AI Agent Solutions at The MarTech Summit Hong Kong

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As enterprises worldwide race to adopt AI, GPTBots.ai made its mark at The MarTech Summit Hong Kong, Asia’s premier marketing technology conference attended by world-renowned brands such as JPMorgan, Yahoo, Nike, and DBS, alongside leading Hong Kong enterprises including Cathay Pacific, Hong Kong Disneyland, and The Hong Kong Jockey Club.

With 85% of enterprises prioritizing AI adoption in 2024 (Gartner), yet struggling with implementation gaps, GPTBots.ai demonstrated how its no-code AI Agent platform turns complex AI concepts into deployable solutions—without coding or data science teams.

Spotlight: Real-World AI in Action
At the summit, GPTBots.ai engaged with forward-thinking organizations, including:
A Top Hong Kong University: Their admissions team explored AI-powered chatbots to streamline student inquiries and application processes, aiming to:

  • Automate 80% of FAQs (e.g., program requirements, deadlines).
  • Guide applicants through form-filling with smart error detection.
  • Free staff to focus on students’ in-depth support.

A Leading Hong Kong Airline: Their tech team discussed internal efficiency AI Agents for:

  • AI search to make enterprise knowledge instantly accessible and empower every role.
  • Reducing IT helpdesk tickets by 50% via self-service troubleshooting.

Why GPTBots.ai Stood Out

  • Enterprise-Ready: Built to adapt to your business, no matter the size or complexity.
  • Proven at Scale: Powers AI Agents for financial services, healthcare, and retail giants.
  • End-to-End Capabilities: From strategy to deployment, we manage every step of your AI journey.

“The gap isn’t AI potential—it’s practical adoption,” said Tanya Quan, Marketing Director at GPTBots.ai. “We’re helping enterprises skip the lab and go straight to ROI.”

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Misinformation was a problem during the Texas floods. AI chatbots weren’t always helping

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When deadly flash floods hit central Texas last week, people on social media site X turned to artificial intelligence chatbot Grok for answers about whom to blame.

Grok confidently pointed to President Trump.

“Yes. Trump’s 2025 cuts slashed NOAA/NWS funding by ~30% and staff by 17%, impairing forecast accuracy. Warnings underestimated rainfall, contributing to inadequate alerts for the flash floods that killed 24 and left ~24 Camp Mystic girls missing, presumed dead in ongoing searches,” Grok said in a post on Saturday before the death toll rose to at least 120.

Facing backlash from X users that it jumped to conclusions and was “woke,” the chatbot then backtracked.

“That screenshot is a fabrication—I never posted it. Actual facts: Trump’s 2025 NOAA cuts reduced funding ~30% and staff 17%, raising concerns (Axios, Fox). Texas floods killed 43+, with warnings issued hours ahead (CNN), but rainfall underestimated. No evidence directly ties cuts to deaths yet; investigation ongoing. Truth matters,” Grok said in another post.

The contradictory remarks show how AI chatbots can sometimes offer straightforward but inaccurate answers, adding confusion to online chatter already filled with falsehoods and conspiracy theories.

Later in the week, Grok had more problems. The chatbot posted antisemitic remarks and praised Adolf Hitler, prompting xAI to remove the offensive posts. Company owner Elon Musk said on X that the chatbot was “too eager to please and be manipulated,” an issue that would be addressed.

Grok isn’t the only chatbot that has made inappropriate and inaccurate statements. Last year, Google’s chatbot Gemini created images showing people of color in German military uniforms from World War II, which wasn’t common at the time. The search giant paused Gemini’s ability to generate images of people, noting that it resulted in some “inaccuracies.” OpenAI’s ChatGPT has also generated fake court cases, resulting in lawyers getting fined.

The trouble chatbots sometimes have with the truth is a growing concern as more people are using them to find information, ask questions about current events and help debunk misinformation. Roughly 7% of Americans use AI chatbots and interfaces for news each week. That number is higher — around 15% — for people under 25 years old, according to a June report from the Reuters Institute. Grok is available on a mobile app but people can also ask the AI chatbot questions on social media site X, formerly Twitter.

As the popularity of these AI-powered tools increase, misinformation experts say people should be wary about what chatbots say.

“It’s not an arbiter of truth. It’s just a prediction algorithm. For some things like this question about who’s to blame for Texas floods, that’s a complex question and there’s a lot of subjective judgment,” said Darren Linvill, a professor and co-director of the Watt Family Innovation Center Media Forensics Hub at Clemson University.

Republicans and Democrats have debated whether job cuts in the federal government contributed to the tragedy.

Chatbots are retrieving information available online and give answers even if they aren’t correct, he said. If the data they’re trained on are incomplete or biased, the AI model can provide responses that make no sense or are false in what’s known as “hallucinations.”

NewsGuard, which conducts a monthly audit of 11 generative AI tools, found that 40% of the chatbots’ responses in June included false information or a non-response, some in connection with some breaking news such as the Israel-Iran war and the shooting of two lawmakers in Minnesota.

“AI systems can become unintentional amplifiers of false information when reliable data is drowned out by repetition and virality, especially during fast-moving events when false claims spread widely,” the report said.

During the immigration sweeps conducted by the U.S. Immigration and Customs Enforcement in Los Angeles last month, Grok incorrectly fact-checked posts.

After California Gov. Gavin Newsom, politicians and others shared a photo of National Guard members sleeping on the floor of a federal building in Los Angeles, Grok falsely said the images were from Afghanistan in 2021.

The phrasing or timing of a question might yield different answers from various chatbots.

When Grok’s biggest competitor, ChatGPT, was asked a yes or no question about whether Trump’s staffing cuts led to the deaths in the Texas floods on Wednesday, the AI chatbot had a different answer. “no — that claim doesn’t hold up under scrutiny,” ChatGPT responded, citing posts from PolitiFact and the Associated Press.

While all types of AI can hallucinate, some misinformation experts said they are more concerned about Grok, a chatbot created by Musk’s AI company xAI. The chatbot is available on X, where people ask questions about breaking news events.

“Grok is the most disturbing one to me, because so much of its knowledge base was built on tweets,” said Alex Mahadevan, director of MediaWise, Poynter’s digital media literacy project. “And it is controlled and admittedly manipulated by someone who, in the past, has spread misinformation and conspiracy theories.”

In May, Grok started repeating claims of “white genocide” in South Africa, a conspiracy theory that Musk and Trump have amplified. The AI company behind Grok then posted that an “unauthorized modification” was made to the chatbot that directed it to provide a specific response on a political topic.

xAI, which also owns X, didn’t respond to a request for comment. The company released a new version of Grok this week, which Musk said will also be integrated into Tesla vehicles.

Chatbots are usually correct when they fact-check. Grok has debunked false claims about the Texas floods including a conspiracy theory that cloud seeding — a process that involves introducing particles into clouds to increase precipitation — from El Segundo-based company Rainmaker Technology Corp. caused the deadly Texas floods.

Experts say AI chatbots also have the potential to help people reduce people’s beliefs in conspiracy theories, but they might also reinforce what people want to hear.

While people want to save time by reading summaries provided by AI, people should ask chatbots to cite their sources and click on the links they provide to verify the accuracy of their responses, misinformation experts said.

And it’s important for people to not treat chatbots “as some sort of God in the machine, to understand that it’s just a technology like any other,” Linvill said.

“After that, it’s about teaching the next generation a whole new set of media literacy skills.”



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