What are resume keywords?
Resume keywords are the specific words a recruiter or screening system looks for to decide whether you fit a job: job titles, tools, methods, certifications and domain terms such as “Salesforce”, “SQL”, “GAAP” or “B2B SaaS”. They matter because recruiters search the ATS with them, and AI screeners check your resume for evidence of each requirement.
Generic traits like “hard-working” or “detail-oriented” are not keywords in this sense. Nobody searches for them, and they prove nothing on their own.
How do you find the right keywords for a job?
Take them from the postings, not from a generic list. Generic lists are a starting point for ideas. The words that count are the ones in the job you’re applying for, spelled the way that employer spells them.
- Copy the posting and highlight every noun phrase in the requirements and responsibilities: tools, methods, deliverables, industries, certifications.
- Note the job title and the seniority words (“Senior”, “Lead”, “manages”).
- Circle anything that appears twice or more. Repetition is the employer telling you what matters.
- Do the same for four or five similar postings. Terms that show up in most of them are the core vocabulary for that role.
- For technical roles, O*NET OnLine (from the US Department of Labor) lists the software and “hot technologies” commonly used in each occupation. It’s useful for spotting a standard tool name you’ve been calling something else.
Then check your resume against the list. A free keyword match tool does this in seconds. The missing ones you genuinely have go in. The ones you don’t have stay out.
Where should keywords go on your resume?
Put each important keyword in two places: once in the context of a real achievement in your experience bullets, and once in your skills section. Add the job title and the two or three most important terms to your headline or summary.
- Headline: “Data Analyst · SQL, Python, Tableau · Fintech”.
- Bullet: “Built a Tableau dashboard on top of SQL models that cut weekly reporting time from 6 hours to 30 minutes.”
- Skills: SQL, Python (pandas), Tableau, dbt, A/B testing, Excel.
How many keywords should a resume have?
There’s no correct number. Aim for every must-have requirement you actually meet to appear at least once, in the employer’s words, inside a sentence that shows you used it. Count the concrete requirements in the posting: that’s roughly how many terms you need to cover, and no list of extras will make up for a missing must-have.
Resume keywords for software engineering
Use these as examples only. Include the ones you’ve really used, in the posting’s spelling.
- Languages: Python, Java, TypeScript, JavaScript, Go, C#, Kotlin, SQL
- Frameworks: React, Node.js, Spring Boot, Django, .NET
- Cloud and infrastructure: AWS, GCP, Azure, Kubernetes, Docker, Terraform, CI/CD
- Practices: system design, microservices, REST APIs, GraphQL, unit testing, code review, on-call, observability
- Data: PostgreSQL, MongoDB, Redis, Kafka
Resume keywords for data and analytics
- Tools: SQL, Python, R, Excel, Tableau, Power BI, Looker, dbt, Snowflake, BigQuery
- Methods: A/B testing, experimentation, regression, forecasting, cohort analysis, data modeling, ETL
- Outputs: dashboards, KPI reporting, stakeholder reporting, data quality
- For data science: machine learning, scikit-learn, feature engineering, model evaluation
Resume keywords for product management
- Process: product roadmap, prioritization, discovery, user research, PRDs, requirements, go-to-market, launch
- Measurement: KPIs, OKRs, activation, retention, conversion, A/B testing, product analytics (Amplitude, Mixpanel)
- Context: B2B SaaS, platform, API products, cross-functional leadership, Agile, Scrum, Jira
Resume keywords for marketing
- Channels: SEO, content marketing, paid social, Google Ads, email marketing, lifecycle marketing, events
- Tools: HubSpot, Marketo, Salesforce, Google Analytics 4, Semrush, Ahrefs
- Measures: pipeline, MQLs, CAC, ROAS, conversion rate, attribution
- Strategy: positioning, messaging, demand generation, product marketing, brand
Resume keywords for sales
- Motion: new business, outbound prospecting, full-cycle sales, enterprise sales, SMB, mid-market
- Results: quota attainment, pipeline generation, closed-won, ACV, ARR, average deal size, win rate
- Methods and tools: MEDDIC, Challenger, discovery calls, negotiation, Salesforce, HubSpot, Outreach, Gong
Resume keywords for customer success
- Ownership: book of business, renewals, expansion, upsell, net revenue retention (NRR), churn reduction
- Activities: onboarding, implementation, QBRs, health scores, escalation management, customer advocacy
- Tools: Gainsight, ChurnZero, Salesforce, Zendesk, Intercom
Resume keywords for finance and accounting
- Core: financial modeling, FP&A, budgeting, forecasting, variance analysis, month-end close, reconciliations
- Standards and controls: GAAP, IFRS, SOX, internal controls, audit
- Tools: Excel (advanced), NetSuite, SAP, QuickBooks, Adaptive Insights, Anaplan
- Credentials, if you hold them: CPA, CFA, CMA
Resume keywords for design
- Disciplines: product design, UX design, UI design, interaction design, visual design, UX research
- Methods: user research, usability testing, prototyping, wireframes, journey mapping, accessibility (WCAG)
- Tools and systems: Figma, design systems, FigJam, Adobe Creative Cloud
- Always link your portfolio. For designers, it carries more weight than any keyword.
What are good resume keywords for AI skills?
If the role builds AI products, use the specific terms the posting uses and back each one with a project. If you use AI tools in a non-AI job, name the tool and the result rather than writing “AI skills”.
- Building with AI: large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), embeddings, fine-tuning, model evaluation, AI agents, OpenAI API, Anthropic API, LangChain, PyTorch, MLOps
- Using AI at work: “Used ChatGPT and Claude to draft first-pass support macros, cutting response drafting time by about a third”, “Automated weekly reporting with GitHub Copilot-assisted Python scripts”.
- Responsible use: data privacy, human review, evaluation, AI governance. These matter increasingly in regulated industries.
What about soft skills?
Show them in bullets instead of listing them. “Led a team of 5” proves leadership. “Presented the pricing change to 40 account managers and the exec team” proves communication. A skills section that says “communication, teamwork, leadership” adds nothing a screener can use.
Which keyword mistakes should you avoid?
- Listing tools you’ve only heard of. The interview will find out.
- Using your company’s internal names (“Project Atlas”, “the Hub”) instead of the standard term.
- Only using an acronym, or only the full term. Write both once: “search engine optimization (SEO)”.
- Hiding keywords in white text or tiny fonts. ATSs strip formatting, so the recruiter sees them.
- One generic resume for every field. Each kind of role needs its own vocabulary.
Screenpass extracts the keywords from each posting you paste, shows which ones your resume is missing, and asks whether you’ve done that work before writing anything in.