Resume Keywords That Actually Matter

Matching is usually literal. That single fact explains most of what follows, and most of why generic keyword advice fails.

From the team behind PassATS. Free to read, no email required.

Why the exact word matters

Most applicant tracking systems match strings, not meaning. If a posting asks for CI/CD and your resume says "continuous integration", a literal matcher scores that as a miss. It does not know they are the same thing.

The fix is not to write both everywhere. It is to write both once, in the place a reader would expect: CI/CD (continuous integration and delivery). You get the exact-match credit and a human still reads a normal sentence.

This is also why copying a keyword list wholesale does not work. The list below is a starting point for what is standard in a role. The posting in front of you is the actual answer.

Software engineering

TypeScript, React, Vue, Angular, Node.js, Python, Go, CI/CD, Docker, Kubernetes, AWS, GCP, REST API, GraphQL, unit testing, integration testing, Git, Agile, code review, microservices, PostgreSQL, Redis.

What separates a strong engineering resume is rarely the stack list. It is whether the bullets underneath show scale: how much traffic, how much data, how many services, how long the thing has run in production.

Product management

Product roadmap, OKR, A/B testing, stakeholder management, go-to-market, sprint planning, KPI, user story, discovery, prioritisation, backlog, user research, product analytics, north star metric, requirements, cross-functional.

Product resumes fail most often on outcome, not vocabulary. "Owned the roadmap" is a job description. "Cut onboarding drop-off from 46% to 31% over two quarters" is a candidate.

Data and analytics

SQL, Python, R, Tableau, Power BI, Looker, A/B testing, ETL, dbt, statistical analysis, regression, dashboard, pandas, data modelling, experimentation, cohort analysis, Snowflake, BigQuery.

Name the tools you would be comfortable being tested on. Data roles interview on exactly the terms listed in the resume more often than most.

Marketing and growth

SEO, SEM, conversion rate, Google Analytics, CRM, HubSpot, campaign management, A/B testing, funnel, CAC, LTV, attribution, email marketing, content strategy, paid social, lifecycle, retention.

Marketing resumes carry the most unquantified language of any discipline. Every claim here has a number attached to it somewhere in your analytics. Go and get it.

Finance and operations

Financial modelling, Excel, P&L, variance analysis, FP&A, IFRS, GAAP, forecasting, budgeting, Power BI, reconciliation, month-end close, audit, cash flow, SQL, NetSuite, SAP.

Name the systems. A finance resume that says "ERP experience" without naming which one reads as evasive to anyone who has run that stack.

How to place them

A real Skills section with twelve to twenty terms that are genuinely yours. Not every technology you have ever opened.

Then the same terms again, naturally, inside the bullets where you actually used them. A term that appears in a Skills list and nowhere else reads as thin to a human even when it scores fine.

Never in white text, never in a hidden block, never in the document properties. It is trivially visible to anyone who selects the page, and it ends the application on integrity rather than fit.