Keywords are how ATS systems decide whether your resume is relevant to a job. The system extracts terms from the job description and looks for matches on your resume. Missing a key term means losing points in the ATS scoring algorithm - even if you have the actual skill.
The keyword lists below are compiled from the most frequently appearing terms across thousands of job postings in each industry. Use them as a starting point, but always prioritize the exact terms from the specific job description you're applying to.
1. Software Engineering
Software engineering JDs are the most keyword-dense. They typically list 10-20 specific technologies, so missing even a few can significantly drop your match score. For a deeper dive, see our software engineer keyword guide.
Software Engineering Keywords
Languages
Python, JavaScript, TypeScript, Java, Go, Rust, C++, SQL, Ruby, Kotlin, Swift, PHP
Frontend
React, Next.js, Vue.js, Angular, Tailwind CSS, HTML/CSS, Redux, Webpack, Vite
Backend
Node.js, Django, FastAPI, Spring Boot, Express, GraphQL, gRPC, REST API, microservices
Cloud & Infrastructure
AWS, GCP, Azure, Docker, Kubernetes, Terraform, CI/CD, GitHub Actions, Jenkins, Datadog
Databases
PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Elasticsearch, Snowflake, Kafka
Practices
Agile, Scrum, code review, unit testing, integration testing, TDD, system design, technical documentation
2. Product Management
Product management keywords span strategy, execution, and analytics. JDs emphasize frameworks, cross-functional collaboration, and data-driven decision-making.
Product Management Keywords
Strategy & Planning
product roadmap, product strategy, OKRs, PRD, product requirements, go-to-market, market research, competitive analysis, user research, product-market fit
Execution & Process
Agile, Scrum, sprint planning, backlog prioritization, stakeholder management, cross-functional, A/B testing, feature launch, MVP, product lifecycle
Analytics & Tools
SQL, Amplitude, Mixpanel, Google Analytics, Tableau, Jira, Confluence, Figma, data-driven, KPIs, metrics, conversion rate, retention, engagement
Domain
B2B, B2C, SaaS, marketplace, platform, mobile, API, enterprise, self-serve, PLG (product-led growth)
3. Data Analytics / Data Science
Data roles have two keyword categories: technical tools and analytical methods. Missing a specific tool name (e.g., writing "visualization" instead of "Tableau") is one of the most common ATS match failures in this field.
Data Analytics / Data Science Keywords
Languages & Libraries
Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Spark, PySpark, dbt
Tools & Platforms
Tableau, Power BI, Looker, Google Analytics, Snowflake, BigQuery, Redshift, Databricks, Airflow, Jupyter
Methods
machine learning, deep learning, NLP, regression, classification, clustering, A/B testing, statistical analysis, hypothesis testing, feature engineering, ETL
Domain
data pipeline, data modeling, data warehouse, data governance, business intelligence, predictive modeling, recommendation systems, time series, anomaly detection
4. Marketing / Growth
Marketing keywords split between channels, tools, and metrics. Growth roles lean heavily on experimentation and analytics terms. Brand marketing roles emphasize creative and strategic terms.
Marketing / Growth Keywords
Channels
SEO, SEM, PPC, paid social, organic social, email marketing, content marketing, influencer marketing, affiliate marketing, display advertising, programmatic
Tools & Platforms
Google Ads, Meta Ads, Google Analytics, HubSpot, Salesforce, Marketo, Mailchimp, Semrush, Ahrefs, Figma, WordPress, Webflow
Growth & Experimentation
A/B testing, conversion rate optimization (CRO), funnel optimization, growth loops, retention, CAC, LTV, ROAS, attribution, cohort analysis, PLG
Strategy
go-to-market, brand strategy, positioning, messaging, demand generation, lead generation, pipeline, MQL, SQL, product launch, market research
5. Sales / Business Development
Sales keywords revolve around pipeline, revenue, and relationship management. ATS systems in sales recruiting weight quota attainment and deal metrics heavily.
Sales / Business Development Keywords
Sales Process
full-cycle sales, prospecting, cold outreach, discovery calls, demos, negotiation, closing, upselling, cross-selling, consultative selling, solution selling, MEDDIC, BANT
Tools & Platforms
Salesforce, HubSpot CRM, Outreach, Gong, LinkedIn Sales Navigator, ZoomInfo, Salesloft, Clari, Chorus
Metrics & Results
quota attainment, ARR, ACV, pipeline generation, win rate, deal size, revenue growth, net new revenue, expansion revenue, sales cycle, forecast accuracy
Domain
B2B, SaaS, enterprise, mid-market, SMB, channel partnerships, strategic accounts, account management, customer success, land and expand
How to Add Keywords Without Stuffing
Keyword stuffing - repeating terms unnaturally or listing every buzzword regardless of your actual experience - doesn't work. Modern ATS platforms flag anomalous keyword density, and recruiters immediately notice forced language. Here's how to add keywords naturally:
Rule 1: Keywords belong in bullet points, not just the skills section
The skills section is where you list technologies. But keywords carry more weight when they appear in context within your experience bullets, because that shows you actually used the skill.
"Skills: React, TypeScript, AWS, PostgreSQL, Docker, CI/CD"
Bullet: "Worked on frontend features and backend improvements."
"Skills: React, TypeScript, AWS, PostgreSQL, Docker, CI/CD"
Bullet: "Built a React + TypeScript dashboard with real-time WebSocket updates, deployed on AWS ECS via GitHub Actions CI/CD."
Rule 2: Use the JD's exact phrasing
If the job says "Amazon Web Services," don't only write "AWS." If it says "machine learning," don't write "ML" without also spelling it out. ATS matching can be literal, so mirror the JD's terminology - then include the abbreviation in parentheses for coverage.
"Managed AWS infrastructure for production services."
"Managed Amazon Web Services (AWS) infrastructure serving 2M+ monthly users across ECS, RDS, and CloudFront."
Rule 3: Only claim skills you actually have
Adding a keyword you can't back up in an interview is worse than missing it. If you've used a tool in a side project but not professionally, mention it in a Projects section. If you've never used it, don't list it. Keyword stuffing with fake skills gets caught during the technical screen and burns the opportunity.
Rule 4: Organize skills by category
A categorized skills section is easier for both the ATS and the recruiter to scan. Group related keywords together instead of listing everything in one comma-separated line.
Skills: Python, Tableau, A/B testing, SQL, Snowflake, data modeling, Pandas, machine learning, Airflow, statistical analysis, dbt, BigQuery
Languages: Python, SQL, R
Tools: Tableau, Snowflake, BigQuery, Airflow, dbt, Pandas
Methods: Machine learning, A/B testing, statistical analysis, data modeling
Rule 5: Front-load the highest-priority keywords
Put the most important keywords (the ones matching the JD's "required" qualifications) early in your skills section and in the first bullet point of your most recent role. Recruiters scan top-down, and some ATS weighting algorithms give slightly more weight to terms appearing earlier in the document.
The JD Is Always the Source of Truth
These industry lists give you a foundation, but every job description is different. The most effective keyword strategy is simple: read the JD, identify every specific skill, tool, and qualification mentioned, and make sure each one appears on your resume if you genuinely have it. The lists above help you know what to expect - the JD tells you exactly what to include. For a full walkthrough of adapting your resume per application, see our guide on how to tailor your resume for each job.