How to Research a Company Before Your Tech Interview

Most candidates prepare for the questions and skip the company. That is a mistake, because two of the rounds depend on it. The behavioral round asks why you want to work here, and the design round goes better when you know what the company actually builds.

Company research does not need to take long. It needs to cover four things: what the company does, what it builds with, how it hires, and what the interview day looks like. This article is a checklist for each.

1. Know what the company is and what its name means

Start with the basics, because interviewers do notice when a candidate has them wrong.

Several of the largest companies have names that are abbreviations or references, and candidates look them up constantly:

• IBM is an abbreviation. The full form of IBM is International Business Machines, a name that predates computing as we know it.
• The full form of Microsoft comes from joining microcomputer and software.
• NVIDIA's name is not an abbreviation at all, which surprises people who go looking for one.
• Amazon is named after the river, and there is a specific reason the founder picked it, covered in why it is called Amazon.
• Google's name comes from a mathematical term for a very large number.
• Netflix combines two words, and while it has no fixed motto, one tagline is closely associated with the brand.

None of this will be asked directly. It matters because it is the surface layer of understanding a company, and getting it wrong in a behavioral answer is avoidable.

Ownership and origin are worth a minute too. Candidates preparing for AI companies often ask which country owns OpenAI and who founded it. Knowing the founding story gives you something concrete to reference when asked why this company.

2. Learn the tech stack

This is the part that pays off directly, in both the coding round and the design round. If you know a company runs on the JVM, you can pick examples that fit. If you know it is a Python shop, you can talk about the tradeoffs that matter there.

The large companies are polyglot, so the useful question is not "which one language" but "which languages dominate which layer":

• Google uses several languages across its systems, and what Google is written in differs by product. It also has its own widely used frameworks.
• Microsoft's language mix reflects both its Windows heritage and its newer cloud and web work.
• Amazon's services are built across a similar spread, and there is a separate question of which language is best for getting hired there.
• OpenAI's stack is shaped by machine learning tooling, which narrows the list considerably.
• Airbnb's stack shows a common pattern: an early framework choice that the company later grew beyond.
• Netflix's machine learning work is central to the product rather than a side feature, which is worth knowing before a design round there.

You do not need to memorize these. You need to know enough that when the interviewer mentions a system, you can place it.

3. Understand the hiring process

Every company runs a different loop, and knowing the shape of it removes a lot of anxiety.

Find out how many rounds there are, which ones are coding, and whether there is a design round or a behavioral round with its own rubric. Some companies publish this. For the rest, candidate reports fill the gap.

A few process details come up often enough to check in advance. Nvidia has specific expectations about qualifications. IBM's notice period matters if you are timing an offer against a current job. Candidates also ask how young Apple hires, which is a real question for interns and new graduates.

Difficulty comparisons are common but less useful than they look. Whether Apple's interview is harder than Google's depends far more on the team and the role than on the company name.

4. Sort out the practical details

These are small, and they are the questions candidates actually search for the night before.

What to wear is the most common. Apple's dress expectations are typical of the industry, which is to say less formal than most other sectors. For remote loops, what to wear on a Microsoft Teams interview is the same question with a camera framing added.

Afterwards, the waiting begins. Whether Apple tells you if you did not get the job is a fair thing to know so that silence does not read as a signal it is not.

5. Turn research into interview answers

Research is only useful if it reaches your answers. Three places it should:

Why this company. Name something specific: a product decision, a system they published about, a constraint their scale creates. Generic praise is obvious and it does not score.

The design round. If the company runs a video platform, a payments system, or a marketplace, expect a design question shaped like their product. Knowing the domain lets you ask better clarifying questions.

Your questions at the end. Ask something that only applies to this company. It is the clearest signal that you prepared.

For the behavioral round specifically, structure matters as much as content. Grokking the Behavioral Interview covers how to build answers that hold up to follow-up questions. If the design round is the concern, Grokking the System Design Interview works through complete designs rather than listing components.

Frequently asked questions

How long should I spend researching a company?

An hour is usually enough for one company: the product, the stack, the interview loop, and two specific things you can reference.

Does knowing the tech stack actually help in the interview?

Yes, in the design round especially. It lets you choose examples and tradeoffs that fit their world instead of generic ones.

Should I mention that I researched the company?

Do not announce it. Use it. Referencing a specific system or decision does the work on its own.

What if the company publishes nothing about its process?

Rely on candidate reports and recruiter conversations. Recruiters will usually describe the loop if you ask directly, and asking is normal.

Related reading

• FAANG Software Engineer Levels Explained
• System Design Primer: Core Concepts and Interview Prep
• Amazon's 16 Leadership Principles