Hiring an engineer leaving big tech: what a startup should check first

Hiring engineers from big tech works when their recent work was building and shipping with a small scope and little platform underneath them. Test that directly instead of trusting the logo.

Microsoft's offer of 26 October 2026 reaches a reported 60,000 people. They were chosen by level and team, not by skill. Price the role in cash and equity you can carry, then match the person to your stage.

Key takeaways

• The offer is broad but selective. On 26 October 2026, Microsoft announced a Voluntary Exit Offer for eligible employees at level 70 and below in participating teams. The teams are in Canada, India, the United Kingdom, and the United States. Press reports put the pool at about 60,000 people. That is roughly 27% of the 223,000 full-time employees in Microsoft's annual filing.
• Eligibility follows level and team, not skill. Product research and development accounts for 77,000 of those 223,000 employees. Microsoft also says some of its organizations are not offering the program at all.
• Performance does not fully travel with a person. A study of star analysts found that those who changed employers saw an immediate performance drop. The drop lasted at least five years. It was worst for analysts who moved to firms with lesser capabilities, and for those who moved alone.
• At large companies, a dedicated team supplies the platform. In the 2025 DORA survey of nearly 5,000 professionals, 76% of organizations had at least one dedicated platform team. The median seed-stage startup on Carta has four employees.
• Cash is only part of the check. The median software seed round on Carta raised $4.1M. The US median wage for a software developer is $135,980. Benefits make up 30.0% of what private-sector employers pay for each hour of work.
• Test the work, not the logo. Structured interviews have the highest mean validity for predicting job performance, at .42. Job-specific tests such as work samples rank above general measures.

In this article

• Should a startup be hiring engineers from big tech?
• What does big-tech engineering infrastructure do for an engineer, and what is missing at a startup?
• What will they expect to be paid, and can a seed startup carry it?
• How do you interview for startup fit, not for the logo?
• Which stage suits which kind of big-tech engineer?
• What is the alternative if the numbers do not work?
• Where RocketDevs fits
• Conclusion
• Frequently asked questions

Should a startup be hiring engineers from big tech?

Sometimes. The deciding fact is what the engineer's recent work consisted of, not where it happened.

Microsoft's Voluntary Exit Offer was announced on 26 October 2026. It is open to eligible employees at level 70 and below in participating teams in Canada, India, the United Kingdom, and the United States. Press reports put the pool at about 60,000 people.

Here is what is solid and what is not. Microsoft's own announcement says the offer is time-limited and voluntary. It gives eligible people "financial support and career planning resources." It gives no headcount. The MyNorthwest report notes that the announcement did not provide an employee count or say the program was meant to avoid layoffs.

The 60,000 figure comes from The Seattle Times, as relayed by MyNorthwest. KUOW's report describes the offer as available to "roughly one quarter of Microsoft's workforce." A spokesperson told KIRO Newsradio that the company is not positioning it as a buyout. This guide therefore calls it an exit offer, and uses "buyout" only where the press does.

Is the pool an engineering pool?

No. Microsoft's annual report says it employed approximately 223,000 people full time on 30 June 2026. Of those, 77,000 were in product research and development. Another 89,000 were in operations, and 43,000 were in sales and marketing. The remaining 14,000 were in general and administration.

Sixty thousand out of 223,000 is about 27%. That is our arithmetic, and Windows Central reports it too. Engineers are one group inside that number, not the whole of it.

Skill does not set eligibility. Microsoft's post says some organizations are providing the offer and some are not. Participation varies by each business's priorities, customer commitments, and workforce needs.

According to KUOW, the head of each organization decided who is eligible. As a result, the sales organization will not participate, and neither will some corporate services like marketing. Some engineering teams are also out. KUOW adds that the level 70 ceiling reaches the vice president level. The person in front of you could therefore be a principal engineer, a manager of managers, or a program lead. The logo on the resume is identical for all of them.

Who takes a voluntary exit?

Nobody has published that. The honest reading is that you cannot treat the candidates as one cohort.

A Microsoft spokesperson told KUOW that the offer will be comparable to the company's standard severance package. The spokesperson said Microsoft expects a smaller take-up than the earlier Voluntary Retirement Program, which about 30% of eligible employees took. GeekWire reported that the earlier program paid lump sums of eight to 39 weeks of base pay. A GeekWire follow-up said it was open to US employees at senior director level and below. Their age and years of service had to add up to 70 or more.

Take-up tends to follow generosity. A RAND model of US Department of Defense civilians estimated that raising the voluntary separation payment cap from $25,000 to $41,000 would increase voluntary separations by about 45 percent. This fits Microsoft's expectation of a smaller take-up on less generous terms.

Labour economics offers one relevant warning. In Layoffs and Lemons, Gibbons and Katz showed that when a firm chooses whom to lay off, the market infers that the laid-off workers are of low ability. Those workers earned less and stayed unemployed longer than workers displaced by a plant closing.

A voluntary offer reverses who chooses, so that inference does not transfer. We found no study of what an employee's decision to accept says about them. The practical rule is to treat each person as an individual and not as a label.

Is the market bigger than it was?

Yes, and that helps you only if your test is better than everyone else's.

Challenger, Gray & Christmas counted 165,925 announced US technology job cuts from January to September 2026. That is up 54% from 107,878 a year earlier, and it is 29% of all announced cuts. Its August report showed technology cuts at 6,103, the lowest monthly total of the year. September rose to 10,799. Andy Challenger described employers as being in "a wait-and-see period right now."

Startups are not absorbing the supply. VC-backed companies on Carta made 26,030 new hires in January 2026, the slowest January since 2018. There are more candidates, but the logo predicts the work no better than before.

Builder or operator: the one distinction that matters

A builder shipped features end to end with a small scope. They chose their own tools and carried the pager. An operator did excellent work inside a platform that other people built and ran. Both are valuable, but a seed startup needs the builder. The research on mobility suggests why the distinction matters.

In Can They Take It With Them?, Groysberg, Lee, and Nanda found that star analysts who switched employers had an immediate decline in performance. That decline persisted for at least five years. It was most pronounced among analysts who moved to firms with lesser capabilities. It was also worst for those who moved solo, without other team members.

Other studies point the same way. Huckman and Pisano found that cardiac surgeons' outcomes improved with their recent volume at a hospital but not with their volume elsewhere. In their words, "some portion of performance is firm specific." Bidwell found in an investment bank that external hires performed worse than promoted workers for the first two years. They also left more often, although they were paid around 18 percent more.

A move from a large company to a seed startup usually meets both of the conditions Groysberg found most damaging. The new firm has lesser capabilities, and no teammates moved together with the hire. That is our inference. These studies cover analysts, surgeons, and bankers, not software engineers. We found no study that measures how software engineers' output changes when they leave a large employer for a small one. The rest of this guide is about testing for that directly.

A famous logo tells you where someone worked. It does not tell you what they had to build for themselves.

If you want the arithmetic of a miss before you start, see what a bad engineering hire costs a seed-stage startup.

What does big-tech engineering infrastructure do for an engineer, and what is missing at a startup?

At a large company, a dedicated platform organization supplies source control, build, review, release, and monitoring as a service. At a seed startup, the median team is four people. The engineer has to choose and configure each of those tools alone, and then run them.

In the 2025 DORA survey of nearly 5,000 technology professionals, 76% of organizations had at least one dedicated platform team. The median seed-stage startup on Carta has just four employees.

This difference separates a good hire from an expensive one, so it deserves detail. Three companies have published enough about their internal systems to show what an engineer inside them stops having to think about.

Google: a single repository and mandatory review

Google's monolithic repository is custom built. Its authors describe it as a common source of truth for tens of thousands of developers worldwide. The paper reports 86TB of data, as excerpted by Michael Tsai. That data holds about two billion lines of code in nine million unique source files. Google made roughly 35 million commits over 18 years. Fergus Henderson's overview of Google's practices puts the change rate at 40 thousand commits per work day as of January 2015.

On top of the repository sits a build system called Blaze. Its standard commands for building and testing work across the whole repository, so any engineer can build and test any code.

Review is mandatory. Every change to the main source code repository must be reviewed by at least one other engineer. A code owner must also approve changes to files the author does not own. The ICSE study of code review at Google drew on 12 interviews and a survey of 44 respondents. It also used review logs for 9 million reviewed changes.

Operations has its own discipline. Google's SRE book describes a quarterly error budget set from a service level objective. Releases are allowed as long as error budget remains. The SRE organization also has an advertised goal of keeping toil below 50% of each SRE's time.

What does this remove from the engineer's day? The engineer no longer chooses a version control layout or writes a build. They do not have to build a reliable release path, decide what counts as an outage, or act as the only person who can fix any of it.

One detail matters for interviews. Henderson notes that a few teams have dedicated release engineers. For most teams at Google, regular software engineers do the release work, and that is possible because most steps are automated. A regular engineer there releases software with a system someone else built. That is different from building the release path.

Meta: deployment as a service

The Savor paper defines continuous deployment as shipping many small incremental updates. It describes a continuous stream of tens, hundreds, or even thousands of deployments per day.

Facebook's engineering team described its own release system in 2017. For many years, the front end was pushed three times a day, with 500 to 700 cherry-picks per day. The system scaled from a handful of engineers in 2007 to thousands. The team also noted that the pushes took human effort from release engineers, alongside the tools and automated systems.

The product engineer's contribution was a change that had passed a series of automated tests. The machinery that shipped it belonged to someone else.

Microsoft: an engineering system with its own staff

Brian Harry's account of Microsoft's Windows repository says the Windows code base has approximately 3.5M files. It is about 300GB in Git, and about 4,000 engineers work on it. The engineering system produces 1,760 daily "lab builds" across 440 branches. It also runs thousands of pull request validation builds.

Bacchelli and Bird studied Microsoft's own review practice in Expectations, outcomes, and challenges of modern code review. They found that finding defects remains the main motivation. Reviews also bring other benefits, such as knowledge transfer and increased team awareness. They also give engineers new ways to approach a problem.

A startup founder should dwell on the knowledge transfer. In a large organization, review is also how knowledge spreads. In a team of four, the reviewer pool is three people, and one of them may be a founder who does not write code.

What the startup has instead

The same jobs fall to the new hire, along with some that the large companies hide.

1. Source control and continuous integration. Someone picks the hosting, the branching rule, and the test runner. That person also writes the first pipeline. No one else will.
2. Deployment and rollback. There is no release engineer and no canary fleet. The engineer decides how code reaches production. The engineer also decides how to undo a release at two in the morning.
3. Observability and on-call. There is no SRE team. There is also no error budget unless the engineer defines one for a service with a handful of users. Toil is not a metric until the engineer starts counting it.
4. Review and knowledge transfer. With a median of four people, the engineer is often the only one who understands a change. If the review is thin, so is the transfer of knowledge that Bacchelli and Bird found.
5. Buying versus building. At scale, companies build internal tools. At seed stage, in our view, a managed service is usually the sensible default. Picking the right one is a judgement call, and a large-company engineer may rarely have made it.

A fair worry is that this list describes a skill nobody tests. The Jaspan study was written by Google researchers. It surveyed engineers who had used both a monolithic repository and several per-project repositories. It found that "engineers favor particular tools and are drawn to repo management systems that support their desired toolchain."

Expect the same from a candidate. Someone who spent six years inside one toolchain will arrive with preferences about it. The first question is whether they will rebuild what they had or choose what fits a team of four.

The skill to test is choosing and owning, not using

This part of the argument rests on three claims, which we take one at a time.

The first claim is that dedicated platform teams and internal tools provide the build, deploy, review, and observability systems at large companies. Their own engineering papers describe this, and the sections above document it.

The second claim is that a startup engineer has to choose and configure managed equivalents, and then run them. This is our reading of a median team of four.

The third claim is that a level or title measures scope inside the issuing employer. It does not measure portable capability. This follows from the mobility research. The performance drops measured by Groysberg, by Huckman and Pisano, and by Bidwell came partly from firm-specific skills and firm capabilities.

On levels specifically, the Levels.fyi pay table for Microsoft is crowdsourced. Microsoft's announcement states no pay by level. KUOW reported that the offer's ceiling of 70 reaches the vice president level, which shows how wide one number can be.

A level does not tell you how many people used what the person built. It does not say whether they were on call, or what they decided alone. Ask for those facts in sentences, as the next sections do.

What will they expect to be paid, and can a seed startup carry it?

A big-tech engineer's expectation is anchored to total compensation that includes stock. The US median wage for a software developer is $135,980, and a median software seed round raised $4.1M. The first check is therefore how many months of runway one salary consumes. The table sets out the public reference points, and every figure is dated and attributed.

What does one engineer cost against a seed round?

The Bureau of Labor Statistics publishes the median annual wage for US software developers at $135,980 in May 2025. The 25th and 75th percentiles are $105,210 and $171,980. Its figures count 1,687,890 employed developers. O*NET OnLine republishes the same median as $65.38 an hour.

Wages are not employer cost. In the second quarter of 2026, benefits were 30.0% of compensation cost for private-industry workers. Total compensation was $46.89 per hour, and $14.07 of that was benefits.

Treat that as an average for all private industry, not for software. The share is a little higher for higher earners. In March 2026, BLS reported private-industry employer costs of $60.39 an hour in wages and $29.31 in benefits at the 90th wage percentile. That is about 33% of compensation, by our arithmetic. At the median, the figures were $24.15 and $10.63.

Applied as a rough loading, a wage of $135,980 becomes an employer cost of about $194,000. A wage of $200,000 becomes about $286,000.

Carta data puts the median software seed round at $4.1M raised with 18% dilution. Against that round, one $200,000 hire is about 7% of the round per year. That is our arithmetic, not a Carta figure. The cost is affordable for one person. A second hire and a third at the same level change the picture.

What do early-stage companies actually post? The recruiting firm Recruiting From Scratch analysed US job postings with disclosed pay over 12 months. It reported a typical posted base band of $170K to $235K for a seed-stage software engineer. The midpoint was $200K across 99 postings.

The same firm reports that engineers who booked calls with it asked for a median of $220K. That is $20K above the seed midpoint. It also says that raising a Series A does not move posted engineering base pay much. This is one recruiter's reading of postings, and the firm has an interest in the market it describes. Treat it as a reference and not a benchmark.

What do the crowdsourced numbers say about the other side?

Microsoft publishes no pay by level. Levels.fyi collects pay from the people who earn it. Its methodology page says it does not collect pay data from employers. It also says every submission is checked, and that more proof earns more weight.

Its table for Microsoft software engineers in the US was last updated on 1 November 2026. It shows these median total compensation figures:

• $233,351 at level 63 (senior)
• $335,807 at level 65
• $589,750 at level 67
• $1,080,000 at level 70

Its overall median is $220,000. That is made up of $190,000 base and $30,000 of annual stock.

These are crowdsourced medians, and Levels.fyi sells recruiting products. We use them only to show scale. They suggest that a senior engineer leaving Microsoft is anchored well above a seed budget. They also suggest that stock is a modest share of the median package but a large share at the upper levels.

The honest framing for an offer is not to match that number. Explain which parts of the package a seed company can replace, and which parts it cannot.

Why do large employers pay more, and does that follow the person?

Part of the reason is the employer, not the individual. Troske's analysis of linked employer and employee data for US manufacturing found "a large, significant, and unexplained premium paid to workers of large employers." Gibson and Stillman's nine-country study found that, where the premium exists, controlling for skills does little to reduce its size.

Neither study is about software engineers. The point is narrower: a pay history at a large employer partly reflects the employer.

Sorenson, Dahl, and Canales studied Danish registry data. They found that employees hired by startups "earn roughly 17% less over the next 10 years than those hired by large, established firms." About half of that gap comes from sorting, since startup employees have less human capital.

The same study found that the earliest employees of startups suffer an earnings penalty. Those "hired by already-successful startups earn a small premium." The study points to two factors behind the penalty: startups fail at high rates, and former employees rarely return to large employers.

How do you price the equity honestly?

Say it as arithmetic, not as a promise. Here is an illustration. The grant size is one we chose, and it is not a market benchmark.

A 0.5% grant at the median seed valuation of $24.3M is $121,500 on paper at the round price. Over an illustrative four-year vest, that is about $30,400 a year. This is close to the $30,000 of annual stock in Levels.fyi's Microsoft median. The grant is illiquid, however. The figure is also before the strike price, preferences, and dilution, and the median seed round sold 18% of the company.

Carta reports that the median initial equity grant to individual contributors rose nearly 11% in two years. Median IC salary rose 6.4% over the same period. Across Carta's customers, equity grants have grown faster than pay.

Two US rules change what an offer is worth to someone leaving a large company.

The first concerns incentive stock options. The US Code treats these options as non-qualified to the extent their fair market value exceeds $100,000 in the calendar year they first become exercisable. It also requires the holder to have been an employee at all times until three months before exercise. A departing employee therefore has a short window.

The second concerns tax. The IRS explains that you generally do not include a statutory option in income when it is granted or exercised. Exercising an ISO may still trigger alternative minimum tax. These are US rules, and they are not tax advice. Your lawyer should set the terms before you quote a number.

Timing is one more constraint. Under federal regulation, H-1B and several other nonimmigrants are not considered to have failed to maintain status solely because a job ended. That holds for up to 60 consecutive days or until the end of the authorized validity period, whichever is shorter.

If your candidate holds such a visa, raise the start date and a sponsorship plan in the first conversation. This is the 2024 edition of the rule, and an immigration lawyer should confirm the current one.

How much runway a salary consumes is also a fundraising question. Our guide to how many engineers you need to raise a seed round walks through the stage-by-stage team investors expect.

How do you interview for startup fit, not for the logo?

Test the job itself. Structured interviews have the highest mean validity for predicting job performance, at .42. Job-specific tests such as work samples rank above general measures. Score a real task against a fixed rubric instead of the logo.

Sackett, Zhang, and Berry summarise the evidence this way: structured interviews top the list with a mean validity of .42. Their 80% credibility interval runs from .18 to .66. The best predictors are those specific to individual jobs. These include structured interviews and job knowledge tests, as well as work sample tests and empirically-keyed biodata.

Two cautions keep this honest.

First, validity is a correlation across many hires. It is not a promise about one person. The spread from .18 to .66 shows that how well you run the interview matters as much as which kind you run.

Second, the evidence has moved. In Revisiting meta-analytic estimates of validity in personnel selection, Sackett and colleagues found that mean validity estimates fall by .10 to .20 points once an overcorrection is removed. Structured interviews still emerged as the top-ranked selection procedure.

The older Schmidt and Hunter summary covered 85 years of research. It ranked a general mental ability test plus a work sample among its top combinations. A general mental ability test plus a structured interview scored the same, and each pairing reached .63. The two bodies of work disagree on the size of the numbers. They agree on the direction.

What do the six steps look like in practice?

1. Define the job in three outcomes. Write what must be shipped, owned, and decided in the first 90 days. A job described only as "senior backend engineer" invites the logo to fill the gap. A better description is: "own the deploy path, ship the billing integration, and decide the data store." That version tells you what to ask.

2. Screen for scope, not level. Replace "what was your level" with questions whose answers are sentences.

• What did you build that you were the only owner of?
• How many people or services depended on it?
• Who was on call?
• Which tool or vendor did you choose, and what did you reject?

An operator answers with the platform's name. A builder answers with a decision.

3. Run one structured interview. Use the same questions in the same order for every candidate. Score each answer on a written rubric before you compare people. Ask about the five jobs from the infrastructure section:

• How would they set up deployment and rollback for a team of four?
• What would they monitor first?
• How would they handle review when the reviewer pool is small?
• What would they buy, and what would they build?
• What would they leave undone for now?

4. Set a paid work sample. The Sackett results favour work samples, and the developer-interview literature explains why you should not default to a whiteboard. Behroozi, Shirolkar, and Barik argue that technical interviews may be a procedure for identifying candidates who best handle the stress of being examined, which is performance anxiety. A qualitative study of Hacker News posters found that developers see technical interviews as lacking real-world relevance. They also find the time commitment large. The study suggests collaborative problem-solving sessions instead.

A small paid task on your own stack tests what you need and respects the candidate's time. Follow it with a live conversation about the choices. Paying for the task is our recommendation, not a finding.

5. Check ownership with references. Ask a former teammate what the person decided alone and what they escalated.

6. Price and sequence the offer. Set cash you can carry for the length of your runway. Offer equity from your own pool, and state the percentage, the strike price, and the vesting. Agree a review at 90 days.

Also add the legal checks that belong to any hire from a large employer. Confirm in writing which restrictive covenants and confidentiality terms the person signed. Check their invention assignments too. Ask counsel about visa timing.

Which stage suits which kind of big-tech engineer?

Match the person to the stage. At pre-seed, you need someone who ships alone. At seed, you need someone who can choose and run a small stack. At Series A, you need someone who can build the platform that a growing team will use.

The table puts a rough fit beside Carta's medians for each stage. The money columns are measured. The fit, red-flag, and offer columns are our framework, not findings.

Pre-seed: the builder who ships alone

Carta reports that US startups on its platform raised $3.19 billion across more than 11,500 pre-seed SAFEs and notes in the second quarter of 2026. That is an average instrument of $276,000. At this scale, there is no budget for a platform and no one to run it. The fit is a person with the founder's habit of shipping.

The research on this is suggestive. Elfenbein, Hamilton, and Zenger found that small-firm experience "predicts positive performance outcomes in the early stages of entrepreneurship." Sauermann's study of over 10,000 US R&D employees found that startup employees place lower importance on job security and salary and greater importance on independence and responsibility. They are also more willing to bear risk.

Roach and Sauermann describe "joiners" as a distinct group. These are people who are attracted to startups but do not want to found one.

A big-tech engineer with a joiner's preferences is the likeliest fit at this stage. The only way to learn their preferences is to ask, which is what the six steps do.

Seed: the senior generalist

At seed, the median round raised $4.1M at a $24.3M valuation. It sold a median 18% of the company, and the median team is four. The person who fits can choose a managed database and write the deploy script. They can also review a colleague's change without a platform team.

The warning sign is an answer that begins with the name of an internal tool.

You may be weighing this hire against a founding role. If so, read what a founding engineer is. Then see how the role compares with a CTO in founding engineer vs CTO. An engineer leaving a large company is sometimes a better fit for one role than the other.

Series A: the specialist and the platform builder

At Series A, Carta puts the median software round at $14.4M raised at an $80M valuation. Teams are leaner than they were. Average headcount at Series B on Carta fell from 53 to 45 between its 2023 peak and 2025.

Series A is the stage where a platform engineer starts to earn their salary. The first four hires have built a stack that now needs an owner. A big-tech infrastructure veteran is most likely to be the right hire here. It is also the one place where "I worked on the platform" is a qualification and not a warning.

What is the alternative if the numbers do not work?

If the cash and equity arithmetic does not close, hire for the scope you need and not for the pedigree. A contract engineer can cover the same work without a seed-sized salary commitment. So can a fractional lead or a vetted remote developer.

The BLS median of $65.38 an hour for US software developers is a wage. It excludes benefits, tools, and recruiting cost. A comparison with a billed rate is therefore never like for like. Our guide to what it costs to hire a remote developer sets out the real cost by seniority and region. It also shows where every number comes from.

Three questions to decide

Ask these questions to decide whether to go this way.

• Is the scope bounded? You should be able to describe a start and an end.
• Can someone on your side review the work?
• Is the constraint runway or hours?

If the constraint is runway, a contractor is cheaper than a hire you may not be able to afford for a second year. If the constraint is the platform, you may be better served by buying a managed service. That can be a better choice than hiring a person to rebuild one.

Where RocketDevs fits

RocketDevs offers a vetted starting pool and a trial, not a pedigree. Every developer goes through 6-8 hours of vetting, and only the top 2% of applicants are accepted. That is a screen you do not have to build yourself.

It does not replace step four. Only a task on your own stack tells you whether someone fits your team.

Rates are as follows:

• Associate developers: $9.99/hr.
• Mid-senior developers: $21.99/hr.
• Senior developers: $30.99/hr.

The 14-day risk-free trial is money-back and 100% honoured. You can run step four of the process, a bounded task on your own stack, before you commit to anything long.

This mechanism fits when the work is scoped and someone on your side can review it. It does not fit when you need a first technical hire to set the direction. That person owns decisions and not tasks. For those roles, the six-step process above applies to any candidate, ours or yours.

When you have a bounded scope and a reviewer, build a vetted team with RocketDevs and start with one task.

"Elite Talent. Honest Price."

Conclusion

An engineer leaving big tech is a good startup hire when their recent work was building with a small scope and little platform underneath them. That person has shipped features end to end and chosen their own tools. They have also carried the pager, so they already know what a team of four demands.

The same engineer is a poor hire when their recent work was operating inside a platform that others built. Excellent work in that setting is real, but it does not show that the person can choose, configure, and run a stack alone. Research on mobility also suggests that performance does not fully travel with a person. The drop is worst when the move is to a firm with lesser capabilities, and when nobody moves with the hire.

Microsoft's exit offer increases the supply of people to choose from. It says nothing about which kind of engineer you are meeting. Eligibility is set by level and team, not by skill, and the pool covers far more than engineers. The logo on a resume is the same for a builder and for an operator.

So test for the difference directly. Start with scope questions that need answers in sentences, such as what the candidate built alone, who used it, and who was on call. Then run a structured interview with a written rubric. Finish with a paid work sample on your own stack, followed by a live conversation about the choices.

Next, price the role in cash and equity you can carry for your own runway. Do not try to match a big-tech package. Explain which parts a seed company can replace and which parts it cannot.

Finally, match the person to your stage. A builder who ships alone suits pre-seed. A senior generalist suits seed, and a platform builder suits Series A. If the numbers still do not work, hire for the scope you need and not for the pedigree.

Frequently asked questions

Are ex-FAANG engineers good at startups?

Some are, but their performance does not fully travel. A study of star analysts found that those who changed employers saw an immediate performance drop. That drop lasted at least five years. It was worst for analysts who moved to firms with lesser capabilities, and for those who moved alone.

Other studies agree. Huckman and Pisano studied surgeons, and Bidwell studied investment bankers. None of these studies covers software engineers. The safe reading is that the logo is not evidence, and the work is.

How much does a big-tech engineer expect at a startup?

Use the US wage distribution as your reference, and expect the candidate to be anchored higher. According to the Bureau of Labor Statistics, software developers' annual wages in May 2025 were $105,210 at the 25th percentile. They were $135,980 at the median and $214,670 at the 90th percentile.

Levels.fyi's crowdsourced medians for Microsoft run from $233,351 at level 63 to $1,080,000 at level 70. One recruiting firm reports a median ask of $220K among the engineers it spoke to. Do not try to match the number. Explain which parts of the package a seed company can replace.

What should I ask a big-tech engineer in an interview?

Ask about work that was theirs alone. Then score a real task against a fixed rubric. Structured interviews have a mean validity of .42, and work samples rank among the top job-specific predictors.

Good questions include these:

• What did you build alone?
• Who depended on it?
• Who was on call?
• Which tool did you choose over another?

Also ask how they would set up deployment, monitoring, and review for a team of four. A builder answers with decisions. An operator answers with the name of an internal tool.

Is it a good time to hire after big-tech layoffs?

There are more candidates than usual, but startup hiring is slow. VC-backed companies on Carta made 26,030 new hires in January 2026, the slowest January since 2018. Microsoft's exit offer reaches a reported 60,000 people. Challenger, Gray & Christmas counted 165,925 announced US technology job cuts from January to September 2026.

What is the difference between a big-tech level and a startup title?

A level is a rank inside one employer's ladder. It signals scope there, not capability elsewhere. Studies of people who move find that part of performance is specific to the organization.

Microsoft's offer, for example, covers level 70 and below. KUOW reports that this range reaches the vice president level. A startup title, by contrast, says what you will be asked to own.

Ask the candidate to describe scope in sentences. Ask what they decided and who relied on it. Then ask what they would do differently with four people.

James Hitch, COO at RocketDevs.LinkedIn

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