What people actually do at Google, Meta, Amazon, Microsoft, and Apple
Big tech companies hire for roughly the same categories of work, but the titles and day-to-day tasks vary more than you might expect. A software engineer at Google does not do the same work as a software engineer at Meta. A data analyst at Amazon is not doing what a data analyst at Apple does. The companies are large enough that "tech job" can mean anything from writing code to managing supply chains to running user research studies.
The jobs that pay the most and get the most attention — senior engineer, product manager, machine learning specialist — are real positions, but they are not the only paths in. Many people enter tech through support roles, operations, sales, or finance, then move into technical work later. Understanding what actually happens in each category helps you figure out which direction makes sense for your background and what skills matter most.
Key Takeaways
- Software engineers write and maintain code, but the specific work depends on whether you are building user-facing products, backend systems, infrastructure, or security tools.
- Product managers decide what gets built and why, working between engineering teams, designers, and business leaders to set priorities.
- Data roles range from data analysts (who answer specific business questions) to machine learning engineers (who build systems that learn from data) to data scientists (who do research on new approaches).
- Non-technical roles like sales, marketing, operations, and finance exist at every tech company and often pay as well as entry-level engineering positions.
- Most people do not start in the highest-paid roles; they move into them after two to four years of work in a related area.
Software engineering roles and what they actually involve
Software engineers write code, but the type of code and the problems they solve depend on their specialization. A frontend engineer builds the parts of an process that users see and interact with — the buttons, forms, pages, and animations. A backend engineer builds the systems that store data, process requests, and make sure the frontend has what it needs. A full-stack engineer does both, though usually at smaller companies or on smaller teams.
Beyond those three, companies hire infrastructure engineers (who manage the servers and networks that run everything), security engineers (who find and fix vulnerabilities before attackers do), and quality assurance engineers (who test software to catch bugs). At larger companies like Google and Amazon, you might also see site reliability engineers, whose job is to keep systems running smoothly and respond when something breaks.
The day-to-day work involves writing code, reviewing other people's code, attending meetings about what to build next, and debugging problems. How much time you spend on each depends on your level. A junior engineer spends most of their time writing code and learning from senior engineers. A senior engineer spends more time in meetings, mentoring, and deciding how to approach large problems. A staff engineer or principal engineer focuses on long-term strategy and solving problems that affect the whole company.
Product and design roles that shape what gets built
Product managers decide what features to build, in what order, and why. They talk to users to understand what problems they have, work with engineers to understand what is technically possible, and work with business leaders to understand what makes money. They write documents explaining what should be built and why, then spend months watching engineers build it and adjusting the plan as they learn more. The role is less about technical skill and more about judgment, communication, and the ability to make decisions with incomplete information.
Designers decide how products look and feel. User experience designers focus on how people interact with a product — the flow of screens, the placement of buttons, the words used in error messages. Visual designers focus on color, typography, and the overall aesthetic. Interaction designers think about how animations and transitions should work. At smaller companies, one person might do all three. At larger companies, these are separate specializations.
User researchers study how people actually use products. They run interviews, surveys, and usability tests to understand what is confusing, what works well, and what people want to do but cannot. Their findings shape what product managers decide to build next. This role requires no coding background and is often a good entry point for people with a background in psychology, sociology, or communication.
Data roles: analysts, scientists, and machine learning engineers
Data analysts answer specific business questions using data that already exists. If a product manager asks "Why are users leaving the app after the first week?", a data analyst writes queries to pull the relevant data, looks for patterns, and writes a report. The work is mostly SQL (a language for pulling data from databases) and visualization tools like Tableau or Looker. The role requires no machine learning knowledge and is often a good entry point for people with a background in business, economics, or statistics.
Data scientists do research on new approaches to problems. They might experiment with a new way to recommend products, test a new pricing model, or investigate whether a pattern they found is real or just random noise. The work involves statistics, programming (usually Python), and sometimes machine learning. It is more experimental than data analysis — you might spend weeks on an idea that does not work out.
Machine learning engineers build systems that learn from data and make predictions or decisions. They might build a system that predicts which ads a user is likely to click on, or a system that detects spam, or a system that recommends videos. The work involves understanding algorithms, writing code to implement them, and testing to make sure they work well in the real world. This role requires strong programming skills and usually some background in statistics or mathematics.
Sales, marketing, and business roles that keep companies running
Sales engineers sell software to other companies. They talk to potential customers, understand what problems the customer is trying to solve, and explain how the company's product solves those problems. They work closely with account executives (who manage the relationship and negotiate the deal) and with product engineers (who help with technical questions). The role requires communication skills and some technical knowledge, but not necessarily the ability to code.
Marketing managers figure out how to reach potential customers and convince them to try the product. They might run advertising campaigns, write content, organize events, or partner with other companies. The work varies widely depending on the type of marketing — some roles are very analytical (measuring which campaigns work), others are more creative (writing copy and designing ads).
Operations and finance roles handle everything else: hiring, budgeting, contracts, facilities, legal compliance, and internal tools. These roles exist at every company and are often overlooked, but they are essential. Many people move from operations into product or engineering later, because operations teaches you how the whole company works.
How much these jobs pay and what experience you need to start
Entry-level software engineers at major tech companies typically earn between $120,000 and $180,000 per year in salary, plus stock and bonuses. Senior engineers earn $250,000 to $400,000 or more. Product managers and data scientists earn similarly. Sales roles often pay less in base salary but include commissions that can be substantial. Operations and finance roles typically pay less than engineering but more than you might expect — $80,000 to $130,000 for entry-level positions.
Most entry-level positions require a college degree, though not necessarily in computer science. Many companies hire people with degrees in mathematics, physics, economics, or even unrelated fields, as long as they can demonstrate the relevant skills. Some roles — particularly in sales and operations — do not require a technical degree at all. A few companies have started hiring people without degrees if they have strong portfolios or work experience, but this is still uncommon.
The path to higher-paying roles usually involves starting in an entry-level position, doing well for two to four years, then moving into a more senior role. Some people move between companies to get promoted faster. Others stay at one company and move into different roles — an engineer might become a tech lead, then a manager, then a director. A data analyst might become a data scientist, then a machine learning engineer.
How cloud certifications and IT training fit into tech jobs
Cloud certifications (like AWS Certified Solutions Architect or Google Cloud Associate Cloud Engineer) are useful for infrastructure engineers, site reliability engineers, and some data engineers. They are less useful for frontend engineers, product managers, or sales roles. If you are trying to move into infrastructure or cloud work, a certification shows that you understand the basics and are serious about the field.
IT certifications like CompTIA Security+ or Certified Ethical Hacker are useful for security engineers and some operations roles. They are less common at major tech companies than they are in other industries, but they still matter if you are trying to break into security work.
The certification alone will not get you hired. Companies care more about what you can actually do — whether you can write code, solve problems, or communicate clearly. A certification is useful as proof that you learned something, but only if you can demonstrate that knowledge in an interview or on the job.
Frequently Asked Questions
Do I need a computer science degree to work in tech?
No. Many tech workers have degrees in mathematics, physics, economics, or other fields. Some companies hire people without degrees if they have strong portfolios or relevant work experience. However, most entry-level positions at major tech companies still require a college degree of some kind. If you do not have a degree, building a portfolio of projects or getting relevant work experience is more important than a certification.
What is the easiest tech job to get into without experience?
Sales, operations, and user research are often easier entry points than engineering because they require less specialized technical knowledge. Data analysis is also a good entry point if you have some background in statistics or business. Once you are in the company, you can move into engineering or product roles after a few years.
How long does it take to move from an entry-level job to a senior role?
Typically two to four years at one company, or faster if you move between companies. Some people get promoted every 18 months, others stay at the same level for five years. It depends on your performance, the company's growth, and how much you push for promotion.
Are remote tech jobs common?
Yes, especially after 2020. Most major tech companies offer remote work for at least some roles. Engineering and product roles are more likely to be remote than sales or operations roles. Some companies require you to be in an office a few days per week, others are fully remote.
What skills matter most for getting hired?
For engineering: the ability to solve problems and write code. For product: communication and judgment. For data: SQL and statistics. For sales: communication and persistence. For operations: attention to detail and the ability to manage multiple projects. In interviews, companies care more about how you think than what you already know.