You can get it as it takes place.
The road map is slipping, standups are heavier, your best engineer is getting genuinely exhausted and you are spending more time mediating than creating. Paper has not changed anything disastrous–you have simply put in a few new employees to make delivery faster.
But one of such hires is not fitting the role, stage, or culture.
To a growth-stage CTO, bad fit is not only a bad fit, it is also a latent tax on all your efforts: ship faster, scale reliably and demonstrate to the investors that you can create a world-class engineering organization.
It is not just about the pay you will end up feeding on. It is all about wasted speed, substandard construction, destroyed morale, and opportunity cost of what your team might have created otherwise.
Unpack this detail by detail–and more to the point, discuss what you can do about it.
Companies at early stages and late stages may occasionally survive bad hires more than growth stage teams:
At an early stage: everybody is survival mode. Misfit is uncomfortable, but limited number and cramped cooperation reveals problems soon. You can course-correct fast.
Late stage: It is more process, redundancy and culture. Single poor hires are less likely to cause harm in a system (but not completely inaccessible).
Growth-stage: You are expanding at a rapid rate, establishing new teams, developing more management layers and establishing systems. Any employee is a multiplier – either good or bad.
At this stage, each person:
Leaves a lasting effect on architecture.
Influences culture standards (how code reviews are run, how individuals handle incidents, how feedback is given)
Establishes precedents among the 5-10 subsequent hires (We have previously hired this level, and it will do well enough)
The implication of that is a poor fit is not a single non-performing individual, it is an area of misfit.
We can begin with the most obvious, easier to be recorded in books, expenses of a bad recruit.
To get a mid-to-senior technical position, you are likely to spend on:
When a wrong hire (or dismissal) in the first 6-12 months leaves, then you will incur those costs almost at once to replace the wrong hire.
You’ve paid:
Although the hire was not performing well, you have still paid the full or even close to full market rate at that time.
Each new top engineer or boss:
Repeat this twice on the same position in the same year and you will have then invested twice in onboarding–with little to show.
These charges are enough to increase to tens of thousands of dollars. These however are the most inexpensive aspects of a wrong hire.
The actual threat is what is not shown directly on a P&L, but that strikes productivity, culture and future decision-making.
An incorrect recruitment does not merely provide lesser contribution; he frequently slows down others:
Your blood at the growth stage is velocity. At the cost of months of effective team output reduced by even 10-20 percent by one critical employee hire, then that is a big drag.
The mis-hires in the senior positions or the top positions are especially dangerous since:
This debt may not come at once to you. but half a year or half a year later you shall see:
You are now paying compound interest on the bad technical judgment of some one.
It is famous that Peter Drucker said: Culture eats strategy for breakfast.
Their technical strategy may be the best in the universe, but the wrong hire may in the silence of things sabotage the culture that may help it work.
They might:
What happens next?
It is not only that you lose productivity, but you run a risk of losing people whom you cannot afford to lose.
There are only a limited number of quality decisions that you can make, on a weekly basis, as CTO.
The cost of a mis- hire occupies that:
Each hour that you devote to this is an hour that you do not devote to:
This is a tremendous opportunity cost–and is hardly ever did the reckoning on.
Should a misplaced job applicant be given a visible job (e.g. VP Engineering, Head of Platform, Lead Architect):
Narrative is significant at the stage of growth. The departure of key positions or the apparent wrong hires may issue some red flags: “Will this team be able to scale?
An example cost model: putting dollars to the suffering.
To follow a simplified example, we shall proceed.
Suppose you are a CTO in the growth stage, and you need to hire a senior backend engineer.
Base salary: $120,000
Annual cost (with benefits, taxes, etc.): approximate of $160,000.
Salary for 9 months: $90,000
Then there are the benefits and overhead costs (pro-rated): approximately, 30,000.
Recruitment and interview time: estimate it at $15000 20000 equivalent.
Onboarding cost (compared to other engineers): perhaps$10,000 in productivity.
Already you’re at roughly $135,000-$150,000.
Let’s say:
They were performing at about half of the rate required of a senior engineer.
They led to sufficient rework and delays such that your team essentially lost another 1-2 engineer-months.
The loss in productivity might be:
Missing 6-9 months of output of senior engineers.
And a month or two of redoing and scheduling time diffused throughout.
Practically, you can just as easily spend more than 2-3x their salary in the total cost after all has been added up.
And this is only one bad hire.
Considering this is such an expensive cost of wrong hires, how can they continue to occur? Among growth-stage CTOs, there are some patterns that emerge recurrently.
You’re under pressure to:
They had been employed in a large company, they cannot be bad.
In the short run, it is as though you are de-thrombosing growth. In the long term, you have just made it more likely that you are making an expensive mis-hire.
Candidates are starting to be nice… but not where you are.
Common misalignments:
Having a mismatch of stage and expectations makes both parties lose.
If the role is defined as:
We require a powerful senior engineer to assist us to scale.
…that’s not a role; it’s a wish.
There is no clarity in expectations concerning:
you will find yourself employing a person who is good at this or that aspect–but not that which you really want.
Culture fit matters. But in other cases, vibe checks turn to be an analog of:
This can lead to:
There is no better way to protect against the entire expense of making a mis-hire than by noticing it when it is early.
The following are the patterns to follow during the initial 60-90 days:
Underestimates or overestimates tasks several times.
Require simple requirements to be repeatedly clarified and put in context.
Difficult to adopt the codebase / tooling that is already present.
Attempts to re-write most of the system without knowing the limitations.
Often does not match with product or design.
Does not do code reviews or provides non-constructive feedback.
Brings conflict in standups and planning meetings.
A talker and does not sell tickets or deliverables.
Attributes fault to outside forces (infra is bad, requirements were not clear).
Eschews responsibility of incidences or output problems.
Does not proactively mark risks or concern.
Rude to current practices (All you are doing is wrong)
Unemotional to criticism and easy to anger.
Makes a first-class citizen out of some roles (QA, design, ops).
Any of these could be coachable. The fact that they are staying longer than the first onboarding session is a good indication that this is not the right hire to your team.
You cannot get this risk to zero but you can reduce it dramatically.
Provide definition of role based on what is successful in 6-12 months, not responsibilities.
For example:
Own the key to reliability and scalability of our payments system to handle 3x traffic.
“Head a group of 5 engineers to develop our new partner platform.
Reduce the average time of incident resolution by 40 percent and establish SRE practices.
This clarity helps you:
Do not use strictly ad-hoc interviews. Instead:
Formal procedures may be oppressive initially, yet they immensely enhance the quality of signals.
To get senior technical positions, merge:
It is not merely checking whether they are able to solve problems, but how, how they do it, the trade-offs, and feedback.
Other than posing generalized questions of Are they good? questions, ask:
You go out gossip-hunting–you go out checking stage fit and role fit.
If you say you value:
then formulate questions, which show these characteristics. For example:
Describe when a system you owned failed. What did you do?”
Write about an incident involving a severe technical dispute. How was it resolved?”
You are testing accountability, ego and their functioning under stress.
Mis-hires will still occur even in the case of a powerful process. How you react fast and justly is what is important.
List current problems, basing on observable behaviors:
Avoid:
They are conclusions and not data.
Hold a face-to-face, respectful discussion:
This is just to the employee and your team.
Offer:
However, when it becomes evident that the disconnect lies in the fundamental (e.g. role incompatibility or value mismatch) then adding more time to the timeline generally is not in everyone’s best interest.
In case you realize it is not the right fit:
The impact of wrong hires to your best people is one of the most destructive.
If top performers see:
Protect them by:
As CTO, you have to ensure that you do not lose such players of A+ caliber by the mere fact that someone made a few misguided hires.
To eliminate the same mistakes as you scale, even the hiring process should be a designed and improved system.
Note down what good will represent at each level.
Test interviewers on a regular basis using model profiles and situations.
Do not set the bar high by desperation–stretch the search towards the direction of the search.
You do not need everything an analytics dashboard, though:
Time to fill key roles
Pass-through rates at every interview stage.
Post 6-12 months performance of new employees.
Late attrition rates and causes.
This will make you know whether your process is either too generous or too strict or it is not focused.
There is no guarantee that good engineers make good interviewers.
Teach them:
The technique of open-ended and behavior-based questions.
How to prevent leading candidates or foaming at the mouth.
The estimation of responses with the help of a rubric, as opposed to a sense of gut.
This can be considered one of the best ROI investments you can make as a growth-level CTO.
Periodically check the performance of new employees.
Modify your interviewing process depending on what you get to know.
In case high levels of hires have ownership issues – add ownership tests
In case the system design is a problem to a lot of them – reinforce that aspect of the process.
Hiring is not a policy but a learning process.
The thinking of the CTO: Major league seats to building a team.
Finally, wrong hires are not an issue to do with hiring per se; it is a leadership issue.
As CTO, you have to change your attitude to:
That is, how quickly can we fill these vacancies?
What do we really mean by creating the type of team we are willingly shaping? Who do we need (or not need) to be there?
That means:
Almost saying no to good candidates, not necessarily the right candidates, more frequently.
Comfortable with temporary discomfort (leaner group, slower delivery) in order to prevent dysfunction in the long term.
Preserving your culture as hard as you preserve your architecture.
There comes a harsh reality of at growth stage:
Being a short one great engineer is nearly always superior to being a heavy one wrong hire.
Let’s recap the key ideas:
An incorrect hire is much more expensive than his salary: he will slow down velocity, quality, morale, and even your personal bandwidth of decisions.
Growth-stage CTOs feel particularly vulnerable, as every person is influenced by hires to have impacts on architecture, culture and expectation of further hires.
It is very easy to agree that the real cost of a mis-hire is 2-3 times the amount that they paid that individual in a single year when you take into consideration lost productivity, re-work, and distraction of the leadership.
The majority of mis-hires are as a result of hastiness in the process, lack of clarity of their roles, mis-alignment of stages and too much reliance on vibes in place of unambiguous competencies.
One of the ways of minimizing the risk is by narrowing down the roles, conducting structured interviews, assessing practical skills, and performing specific reference checks.
Once you get to know that you have a flawed hire, the first step to take is to do it promptly, and fairly and by ensuring that you safeguard your A-players and the culture.
Hiring should be an engineering system: establish standards, measure results, train interviewers, and repeat forever.
Your codebase, infrastructure, and product strategy are all critical to a company such as TAV Tech Solutions (just like any other tech organization in the growth stage). Even more important is the personnel you introduce to create and expand those systems.
When you get hiring right, your architecture will get better, your culture will get stronger and your roadmap will speed up.
When you are wrong, it is expensive–and the cost is usually in the air until you find out that it is too late.
The good news? By carefully choosing and planning how you recruit, by having a clear understanding of the real expense of mis-hiring, you can make recruiting as one of your greatest competitive advantages.
At TAV Tech Solutions, our content team turns complex technology into clear, actionable insights. With expertise in cloud, AI, software development, and digital transformation, we create content that helps leaders and professionals understand trends, explore real-world applications, and make informed decisions with confidence.
Content Team | TAV Tech Solutions
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