How to Tailor Your CV for Tech Roles (And Actually Get Past the First Screen)

Most tech CVs fail before a human ever reads them. Not because the candidate is underqualified. Because the CV reads like a job description, not a proof of impact.

Tailoring your CV is not about swapping in a few keywords and hoping for the best. It is about reading a job description the way a hiring manager reads it, understanding what they are actually measuring for, and rewriting your experience to speak directly to that.

This guide walks you through the exact process we use at Ask Tua, built from 300+ coaching engagements with tech professionals landing roles at companies like Google, Amazon, Meta, and Deliveroo.

What you will have by the end: a repeatable system for tailoring your CV to any tech role, using a five-category bullet framework that consistently gets results.

Here is what we will cover:

• How to read a job description strategically
• What hiring managers at top tech companies actually look for
• How to rewrite your bullets using the five-category framework
• The quantification and verb rules that separate strong CVs from weak ones

Step 1: Read the Job Description Like a Hiring Manager

Most people skim job descriptions looking for keywords to paste into their CV. That is the wrong approach, and hiring managers at top tech companies can spot it immediately.

A job description is a prioritised list of problems the team needs solved. Your job is to identify which problems are highest priority, then prove you have solved them before.

The Three-Layer Read

Go through the JD three times, each with a different lens:

1. First read: scope and scale. What is the size of this role? How many people does it touch? What is the business impact? A PM role at Google managing a product used by 50 million users is not the same as a PM role at a Series A startup. The language in the JD will tell you what scale they expect.
2. Second read: the verb signals. The verbs in a JD tell you what they value. "Define strategy" signals they want ownership. "Partner with engineering" signals cross-functional influence. "Drive adoption" signals they want someone who delivers outcomes, not just plans. Underline every verb. These are your tailoring targets.
3. Third read: the hidden priorities. The first three bullet points in the responsibilities section are almost always the most important. The last three are often nice-to-haves. Weight your CV to reflect this order.

What to Extract Before You Write a Single Word

Before touching your CV, build a quick reference list from the JD:

• The top 3 responsibilities (in order)
• The key metrics or outcomes mentioned (revenue, users, latency, NPS, retention)
• The tools, languages, or platforms listed
• Any signals about team size, scope, or business stage

This list becomes your tailoring brief. Every bullet you rewrite should map to at least one item on it.

Step 2: Understand What Top Tech Companies Are Actually Measuring

FAANG and top-tier tech companies are not looking for a list of responsibilities. They are looking for evidence of impact at scale.

The difference matters. A responsibility tells them what your job was. Impact at scale tells them what you actually delivered, how big the playing field was, and whether you can operate at their level.

Here is what that looks like across the three most common mid-level tech roles:

The implication for your CV is direct: every bullet needs to answer the scale question. Not just "what did you do" but "how big was it, how many people did it affect, and what measurably changed because of you."

Step 3: Rewrite Your Bullets Using the Five-Category Framework

This is where most guides stop at "add metrics." We go further. Every bullet on your CV should fit into one of five categories, and a strong role entry covers all five. Together, they tell the complete story of what you did, how big it was, and what it was worth.

Category A: Your Scope and Report-To

The first bullet in every role should establish your position in the organisation. Who do you report to? How many people do you lead or collaborate with? What are you accountable for, tied to a business goal?

Weak: Worked as part of the engineering team on backend systems.

Strong: Reported to the VP of Engineering as one of 6 senior engineers, responsible for the reliability and performance of payment infrastructure processing £800M+ in annual transactions.

This bullet does not describe duties. It establishes the playing field immediately.

Category B: Responsibility Tied to a Business Outcome

This is the most important category. It connects what you did to a measurable result that the business cared about. Not what you were responsible for in theory. What actually happened because of you.

Weak: Managed the migration of legacy services to a microservices architecture.

Strong: Led the migration of 12 legacy services to a microservices architecture, reducing average API response time by 40% and cutting infrastructure costs by £220k annually.

Every role has a Category B bullet. If you cannot find one, dig harder. Look at what changed after your work. Ask: what metric moved, and by how much?

Category C: Geographic, Organisational, or Market Scope

Scale signals credibility. This bullet shows the reach of your work: how many users, countries, teams, or customers it touched.

Weak: Worked on a product used by customers globally.

Strong: Delivered features used by 3.2 million active users across 14 countries, coordinating with engineering teams in London, Singapore, and New York.

For engineers, this might be system load. For PMs, it is user scale or market coverage. For analysts, it is the volume of data or the number of stakeholders your insights reached.

Category D: Financial Impact

Every role has a financial dimension. Find it. Money made, saved, or managed. This is the category most mid-level tech professionals leave out, because they assume finance is someone else's department.

It is not. If you shipped a feature that drove revenue, reduced churn, cut infrastructure spend, or saved engineering hours, that is a Category D bullet.

Weak: Improved the onboarding flow to reduce drop-off.

Strong: Redesigned the onboarding flow, reducing drop-off by 22% and contributing to a £1.4M increase in first-year subscription revenue.

Use precise figures. 37%, not "about 40%." £12.8k, not "around £13k." Precision signals credibility.

Category E: Timeframe-Bound Achievement

Anchoring a result to a specific period shows speed, urgency, and delivery under pressure. These are qualities every top tech company values.

Weak: Improved test coverage significantly over my time at the company.

Strong: Increased automated test coverage from 34% to 81% within six months, reducing production incidents by 60% and cutting QA cycle time from 11 days to 4.

The timeframe does not need to be impressive on its own. It just needs to be specific. Specificity is what makes it credible.

Putting It Together: A Full Role Entry

Here is what a tailored role entry looks like when all five categories are in play:

Experience

Senior Software Engineer · Stripe · Payments Platform

2022 – present · London

Stripe is a global payments infrastructure company serving 1M+ businesses across 46 countries, with an estimated $65B+ valuation and 8,000+ employees.

• Reported to the Director of Platform Engineering as one of 4 senior engineers, responsible for the reliability of the payments API serving 2.4M daily transactions.A
• Reduced P99 latency by 38% by refactoring the transaction queuing system, directly improving checkout completion rates for enterprise clients. B
• Owned infrastructure supporting merchants in 12 European markets, coordinating with compliance teams across 6 jurisdictions.C
• Reduced cloud infrastructure spend by £310k annually by right-sizing compute resources and eliminating redundant services.D
• Delivered the full latency improvement within one quarter, ahead of a major enterprise client renewal worth £2M ARR.E

Notice the company description before the bullets. This is not optional. Without it, the hiring manager has no context for whether your results are impressive or expected. Two lines on what the company does, who it serves, its size, and its revenue bracket. That is all it takes.

Step 4: Fix Your Verbs and Stop Describing Your Job

The verb that opens a bullet determines how the reader perceives you. Weak verbs signal someone who existed in a role. Strong verbs signal someone who drove outcomes.

Verbs to Remove Immediately

These are banned in every CV we write at Ask Tua:

• Managed, Helped, Worked, Created, Assisted
• Responsible for, Tasked with, Duties include

These words describe a job description. They do not describe impact. A hiring manager at a top tech company reads "Managed the team's Jira backlog" and learns nothing about you. They read "Reduced sprint carry-over by 45% by restructuring the backlog prioritisation process across 3 engineering squads" and know exactly what you are worth.

Verbs That Signal Ownership and Impact

Use verbs that show you drove something, built something, or changed something:

• For engineers: Architected, Refactored, Reduced, Shipped, Automated, Optimised, Migrated, Scaled
• For PMs: Defined, Launched, Drove, Prioritised, Influenced, Delivered, Increased, Reduced
• For analysts: Identified, Modelled, Surfaced, Quantified, Improved, Built, Automated, Translated

Every bullet is one sentence, under 35 words, ending with a full stop. No multi-sentence bullets. No filler adverbs like "quickly" or "successfully." If the result was fast, the timeframe shows it. If it was successful, the metric proves it.

Step 5: Tailor Your Summary to the Role, Not Your Career

Most summaries are generic. They read like a LinkedIn bio written in a hurry. "Results-driven engineer with a passion for solving complex problems." That sentence could describe 400,000 people. It describes none of them specifically.

Your summary should be tailored to the role you are applying for, not to your career in general.

The Summary Formula

Follow this structure exactly:

• First bullet: One sentence. Years of experience, roles or field, types of companies, and scale (employee count or revenue). This is your "who you are in 30 seconds" line.
• Remaining 1-4 bullets: Specific, measurable results that relate directly to the target role, company, or industry. These are proof points, not personality statements.

Generic (do not do this):

• Experienced software engineer with a track record of delivering impactful products in fast-paced environments.

Tailored (do this):

• 7 years of experience in backend engineering and platform infrastructure at high-growth fintech and SaaS companies with 200 to 5,000+ employees and up to 9-figure annual revenue.
• Reduced P99 API latency by 38% across payment infrastructure processing £800M+ in annual transactions.
• Scaled microservices architecture to support 3.2M daily active users across 14 countries.
• Cut cloud infrastructure spend by £310k annually through compute optimisation and service consolidation.

The second version tells the hiring manager exactly who you are, what you have done, and whether it is relevant to their role. In under 60 words.

No "passionate," "driven," or "proven track record." No personal branding language. Facts and numbers only.

Tailoring a CV the right way takes effort. Here is an honest look at what you gain and what to watch out for.

If you can check every box, your CV is ready to send. If you cannot, you know exactly what to fix.

The honest truth: most tech professionals have the experience to compete for roles at top companies. What they are missing is a system for communicating that experience in the language those companies use. That is what this framework gives you.

If you want Ask Tua to do this work with you, including matching your profile to the right roles, rewriting your bullets, and tracking every application in one place, we are opening our first 50 beta spots soon. Join the waitlist and be first in.

Frequently Asked Questions About Tailoring Your CV for Tech Roles