Why Most Engineering Job Descriptions Fail (And How Top Firms Fix Them)

Author: Jade Reilly

Introduction

Most engineering job descriptions don’t fail because they lack information. They fail because they misunderstand how candidates actually engage.

What should be a clear signal of opportunity often becomes a dense, generic document - one that says everything, yet communicates very little. The result is predictable: strong candidates disengage early, weaker matches enter the process, and hiring becomes slower, noisier, and less effective.

This isn’t a content problem. It’s a communication problem.

The 14-Second Reality

One of the most persistent misconceptions in hiring is that candidates carefully read job descriptions from top to bottom. In practice, the opposite is true.

Research from LinkedIn shows that candidates spend an average of just 14 seconds scanning a job description before deciding whether to engage further [McLaren, 2019].

That creates a very different challenge. You are not writing a document to be read in full. You are creating a signal to be interpreted instantly.

Yet many job descriptions are still structured as if attention is guaranteed - leading with long company overviews, broad responsibility lists, and dense blocks of requirements. By the time the most important information appears, the candidate has often already moved on.

What Actually Drives Candidate Decisions

When candidates scan a role, they are not looking for completeness. They are looking for clarity.

Multiple studies reinforce this. Salary transparency alone is cited by 61% of candidates as the most important element of a job description, yet it is still frequently omitted or buried beneath generic requirements [Woodford, 2025]. At the same time, more than half of job seekers report that the quality of a job description directly influences their decision to apply, highlighting how closely perception and action are linked [Huppert, 2023].

There is also a clear relationship between brevity and engagement. Roles described in under 300 words receive 8.4% more applications per view than longer postings [McLaren, 2019].

Taken together, this points to a simple but often overlooked truth: candidates are not rejecting opportunities - they are rejecting unclear signals.

Why Engineering Roles Struggle Most

This issue becomes more pronounced in engineering hiring, where the complexity of the role often leads to overcompensation in the description.

Hiring managers and HR teams are typically trying to translate highly technical, nuanced work into something broadly understandable. In doing so, many fall back on familiar patterns: long lists of technologies, templated language, and expansive “nice-to-have” criteria that gradually blur into perceived requirements.

The outcome is a job description that is technically detailed, but practically uninformative.

As highlighted by Carter [2025], many developer-focused job postings fail because they do not connect with what engineers actually care about - namely the problems they will solve, the systems they will work on, and how their contributions will be measured. Without that context, candidates are left to interpret fit on their own, often conservatively. Strong engineers, in particular, tend to self-select out of roles that feel ambiguous or overly broad.

The Cost of Getting It Wrong

Poor job descriptions do not just reduce application volume - they distort the entire hiring process.

Unclear roles tend to attract a higher volume of misaligned candidates, increasing screening time and reducing overall efficiency. At the same time, qualified candidates are more likely to disengage early or drop out later in the process when expectations become clearer.

In high-performance environments, where hiring decisions carry significant downstream impact, this misalignment is particularly costly. It extends time-to-hire, increases offer rejection rates, and ultimately affects team performance. What appears to be a minor communication issue quickly becomes a structural hiring problem.

What High-Performing Firms Do Differently

Some organisations have recognised that attracting strong talent requires more than refining job descriptions - it requires rethinking how roles are communicated and assessed.

Goldman Sachs provides a useful example. In an effort to improve early-career hiring outcomes, the firm restructured its recruitment approach by introducing more standardised and accessible assessment methods, including asynchronous video interviews and structured questioning [Holmes, 2019; Thompson, 2016].

The result was a measurable improvement in hiring efficiency and reach, including a significant increase in first-round interview conversion rates and a broader, more diverse candidate pool.

While this example extends beyond job descriptions (and changes with future AI integrations), the underlying principle is directly relevant: the most effective hiring systems are designed around how candidates engage, not how organisations prefer to operate.

What Strong Job Descriptions Have in Common

The most effective engineering job descriptions tend to share a few consistent characteristics.

They prioritise clarity over volume, focusing on what truly matters rather than attempting to capture everything. They distinguish clearly between essential and non-essential skills, reducing unnecessary friction for capable candidates. Most importantly, they provide context - outlining what the team does, the challenges the role addresses, and what success looks like over time.

This shift is subtle, but powerful. Instead of acting as a checklist, the job description becomes a narrative - one that allows candidates to quickly understand not just whether they are qualified, but whether they are aligned.

Where Many Firms Still Fall Short

Even when companies attempt to improve their job descriptions, a common mistake is to equate more detail with better communication.

In reality, additional information often increases cognitive load without improving clarity. The core issue is rarely a lack of content - it is a lack of prioritisation.

This matters more than it might seem. Research consistently shows that candidates value transparency and responsiveness as much as the role itself, with communication quality playing a major role in offer acceptance and overall experience (Huppert, 2023).

How We Approach It at Techfellow

At Techfellow, we don’t treat job descriptions as static documents. We treat them as starting points - often incomplete representations of a much more nuanced role. In practice, the difference comes down to access and context.

Across the majority of our mandates - typically around 80-85% of roles - we work directly with hiring managers or maintain close relationships with those responsible for the hire. That allows us to go beyond the written specification and understand what actually matters: how decisions are made, where flexibility exists, what success looks like in reality, and where previous hires have succeeded or struggled.

That context changes everything. Rather than relying solely on a templated job description, we’re able to translate the role into something far more useful for candidates - a clearer picture of the environment, expectations, and trade-offs involved. It also allows us to challenge assumptions on both sides, whether that’s refining overly broad requirements or helping candidates understand where they are a stronger fit than they might initially assume.

Final Thought

Improving job descriptions is not simply a matter of better wording.

It requires a shift in perspective - from documenting requirements to communicating opportunity. The organisations that consistently attract high-quality engineering talent are those that prioritise clarity, context, and honesty from the outset. In doing so, they create a hiring process that is not only more efficient, but fundamentally more effective.

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SOURCES:

Maxwell Huppert (2023) ‘6 Things to Avoid When Writing Job Descriptions’, LinkedIn Talent Blog
https://www.linkedin.com/business/talent/blog/talent-acquisition/what-not-to-include-when-writing-job-descriptions

Alexandra Woodford (2025) ‘9 Job Description Statistics to Keep in Mind for 2025’, Insight Global
https://insightglobal.com/blog/job-description-statistics-to-keep-in-mind-for-2025/

Samantha McLaren (2019) ‘6 Stats That Will Change the Way You Write Job Posts’, LinkedIn Talent Blog
https://www.linkedin.com/business/talent/blog/talent-acquisition/stats-that-will-change-the-way-you-write-job-posts

Alex Carter (2025) ‘Why Job Descriptions Fail to Attract Developers’, daily.dev
https://recruiter.daily.dev/resources/job-descriptions-fail-attract-developers/

Dane E. Holmes (2019) ‘Expanding the Pool’, Harvard Business Review
https://store.hbr.org/product/expanding-the-pool/S19033

Mary Thompson (2016) ‘Goldman Sachs is making a change to the way it hires’, CNBC
https://www.cnbc.com/2016/06/23/goldman-sachs-is-making-a-change-to-the-way-it-hires.html

LinkedIn Talent Solutions (2023) ‘Global Talent Trends Report’
https://business.linkedin.com/talent-solutions/global-talent-trends

Glassdoor Economic Research (2023) ‘Why Candidate Experience Matters’
https://www.glassdoor.com/research/candidate-experience/