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AI in Marketing Jobs Tracker
How often AI, LLMs, automation tools, and AI-adjacent technologies appear in active marketing manager-level job descriptions.
892 of 3476 active marketing job listings (26%) mention AI, automation, or related tools.
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AI terms and tools in marketing job descriptions
Percentage of active listings that mention each AI-related term at least once.
| AI term / tool | Jobs | % of all listings |
|---|---|---|
| AI tools (general) | 374 | |
| AI-powered workflows | 368 | |
| Artificial Intelligence (general) | 242 | |
| AI-driven workflows | 174 | |
| ChatGPT | 113 | |
| AI-assisted tasks | 91 | |
| LLMs / Large Language Models | 77 | |
| Generative AI | 50 | |
| Machine Learning | 28 | |
| AI workflow automation | 12 | |
| AI content generation | 10 | |
| GPT (OpenAI models) | 9 | |
| Prompt engineering | 9 | |
| Predictive Analytics | 8 | |
| AI assistants | 7 | |
| Computer Vision | 6 | |
| GitHub / Microsoft Copilot | 4 | |
| Natural Language Processing / NLP | 3 | |
| Deep Learning | 3 | |
| OpenAI API / tools | 1 | |
| AI automation | 1 | |
| AI writing tools | 1 |
Based on 3476 active listings.
AI career intelligence · semantic job-description analysis
How AI agents are changing marketing roles
Across 3358 current semantically classified marketing roles, 7% explicitly expect meaningful AI capability and 2% give the candidate substantive responsibility for building or orchestrating agentic workflows. This separates ordinary AI-tool usage from workflow building and agent/system ownership.
AI leverage level
| Observed level | Jobs | Share |
|---|---|---|
| Level 0 — traditional | 2505 | 75% |
| Level 1 — AI user | 476 | 14% |
| Level 2 — workflow operator | 117 | 3% |
| Level 3 — workflow builder | 202 | 6% |
| Level 4 — agent orchestrator | 21 | 1% |
| Level 5 — AI systems leader | 37 | 1% |
Where employers expect AI to be used
| Marketing use case | Share | Observed count |
|---|---|---|
| Content | 4% | 122 of 3358 |
| Experimentation / optimization | 3% | 99 of 3358 |
| Analytics / reporting | 3% | 89 of 3358 |
| SEO / organic search | 2% | 79 of 3358 |
| Workflow automation | 2% | 72 of 3358 |
| Research / intelligence | 2% | 68 of 3358 |
| Personalization | 2% | 67 of 3358 |
| CRM / lifecycle | 2% | 54 of 3358 |
| Creative production | 1% | 42 of 3358 |
| Paid media | 1% | 18 of 3358 |
AI expectations by seniority
| Career level | Explicit AI capability | Agentic workflow responsibility | Sample |
|---|---|---|---|
| Early career | 0% | 0% | 55 |
| Manager | 6% | 1% | 2569 |
| Senior manager / lead | 10% | 3% | 407 |
| Director | 16% | 7% | 185 |
| Head / VP | 14% | 9% | 129 |
| Executive | 25% | 25% | 8 |
| Other / unclear | 0% | 0% | 5 |
Listed salary associations
USD salary cohorts only. These are unadjusted associations, not causal AI salary premiums; seniority, geography, employer mix and other factors can explain differences.
Jev makes bounded semantic judgments from each original job description. The site stores those features once; cohorting, percentages, joins and salary calculations are deterministic Rust/SQLite. Agentic responsibility means building/configuring agent workflows or more advanced orchestration — not simply using ChatGPT.
Trend over time
Month by month, tracked since May 26.
% of active listings that mention AI or automation, end-of-month snapshot. Hover bars for sample size.
The share of listings that mention AI or automation has held roughly steady since May 26 (27% then, 26% now), within the sampling variation expected for a dataset of this size. Tracked across 3 monthly snapshots.
What the data shows
About one in 4 active marketing manager-level job listings in the current observed sample mentions AI in some capacity. The semantic analysis below separately measures whether AI is actually expected from the candidate, and whether the responsibility reaches workflow-building or agent-orchestration level.
The most common AI signal is AI tools (general), appearing in 11% of listings. It is followed by AI-powered workflows at 11%. This pattern reflects employers describing AI as a broad expectation rather than a specific tool requirement — “experience working with AI tools” is more common than naming particular platforms.
Specific tool mentions are less common: LLMs appear in 2% of listings and ChatGPT in 3%. The gap between general AI language (7%) and specific tool mentions suggests employers are still working out how to define AI requirements clearly in job descriptions — or that the landscape is evolving too quickly for JDs to keep pace. For named non-AI marketing tools and platforms, see the Marketing Tools in Job Listings report.
Related research
Methodology
This report is generated from active marketing manager-level job listings collected by Marketing Manager Jobs from public employer job feeds and APIs. Listings are filtered to include manager-level marketing roles such as growth marketing manager, product marketing manager, SEO manager, lifecycle marketing manager, demand generation manager, brand manager, marketing director, head of marketing, VP marketing, and CMO.
We exclude non-marketing or non-manager roles such as engineering, product management, sales, support, design, writing-only, analyst, and administrative roles.
AI terms and tools are identified by matching job description text against a curated list of AI-related phrases, tool names, and technology concepts. Each job is counted once per matched term. A job is considered to "mention AI" if it contains one or more matches. Bare company name mentions (e.g. references to companies in the AI sector) are excluded where possible — the patterns target tool and skill language specifically.
Trend data uses daily snapshots stored on ingest runs, aggregated by calendar month (last snapshot of each month). Tracking began May 2026.
The dataset updates as new jobs are ingested. Historical trend data uses daily snapshots, aggregated by calendar month.
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