campaign optimization jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-28, campaign optimization appears in 45 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning campaign optimization.
Last updated · 90d ending 2026-10-28
Which roles want campaign optimization?
Upload your resume and Skillenai will show which roles your campaign optimization experience fits, which skills you already cover, and what is missing.
Frequently asked questions about campaign optimization
+Is campaign optimization in demand in 2026?
Yes. campaign optimization appears in 45 job postings indexed by Skillenai over the 90 days ending 2026-10-28. Product Manager accounts for the most postings mentioning campaign optimization (17.8% of all postings mentioning campaign optimization).
+What jobs require campaign optimization?
According to the Skillenai jobs index over the 90 days ending 2026-10-28, among roles with at least 20 postings, the highest shares mentioning campaign optimization are Affiliate Manager (21.4% of that role’s postings mention campaign optimization), Growth Analyst (5.0% of that role’s postings mention campaign optimization), Marketing Analytics Director (3.8% of that role’s postings mention campaign optimization).
+What skills are commonly paired with campaign optimization?
Across job postings indexed by Skillenai (90 days ending 2026-10-28), campaign optimization most often appears alongside SQL, Python, Data analysis, A/B testing, media buying.
+Where is campaign optimization most in demand?
As of 2026-10-28, the metro areas posting the most jobs requiring campaign optimization are New York City, Bengaluru, Mumbai, San Francisco, Amsterdam, according to the Skillenai jobs index.
+How can I keep up with new campaign optimization content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning campaign optimization alongside the jobs index. You can subscribe to a daily email digest of new campaign optimization content from your Skillenai account.
+Which skills come before and after campaign optimization?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring campaign optimization — last 90 days
Career paths around campaign optimization
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before campaign optimization
Skills after campaign optimization
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: web performance analytics | 1 |
| Before: python | 1 |
| Before: Search Console | 1 |
| Before: Qlik | 1 |
| Before: data science techniques | 1 |
| Before: Google Analytics | 1 |
| Before: Google APIs | 1 |
| Before: dashboards | 1 |
| After: Website Analytics | 1 |
| After: social channels | 1 |
| After: media performance | 1 |
| After: Landing Pages | 1 |
| After: sales analysis | 1 |
| After: interactive marketing | 1 |
| After: presentation decks | 1 |
Roles most likely to require campaign optimization
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Affiliate Manager | 6 | 21.4% |
| Growth Analyst | 1 | 5.0% |
| Marketing Analytics Director | 1 | 3.8% |
| Analyst | 4 | 2.5% |
| Marketing Data Analyst | 1 | 1.5% |
| Marketing Analytics Manager | 1 | 1.5% |
| Data Science Manager | 2 | 0.9% |
| Technical Architect | 1 | 0.2% |
| Machine Learning Engineer | 3 | 0.1% |
| Business Analyst | 3 | 0.1% |
Roles with the most campaign optimization postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 8 | 17.8% |
| Affiliate Manager | 6 | 13.3% |
| Analyst | 4 | 8.9% |
| Business Analyst | 3 | 6.7% |
| Machine Learning Engineer | 3 | 6.7% |
| Data Science Manager | 2 | 4.4% |
| Data Scientist | 2 | 4.4% |
| Analytics Vice President | 1 | 2.2% |
| Data Analyst | 1 | 2.2% |
| Digital Performance Manager | 1 | 2.2% |
Top companies posting jobs requiring campaign optimization
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| EverAI | 6 |
| Known | 4 |
| Rzr | 4 |
| Dentsuaegis | 2 |
| Jampp | 2 |
| Redcare Pharmacy | 2 |
| Grow Therapy | 1 |
| Jack Link's Protein Snacks | 1 |
| Mastercard | 1 |
| Appier | 1 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for campaign optimization
| Name | Postings | Share |
|---|---|---|
| New York City | 7 | 15.6% |
| Bengaluru | 2 | 4.4% |
| Mumbai | 2 | 4.4% |
| San Francisco | 2 | 4.4% |
| Amsterdam | 1 | 2.2% |
| Austin | 1 | 2.2% |
| Berlin | 1 | 2.2% |
| Cologne | 1 | 2.2% |
| Gurugram | 1 | 2.2% |
Skills commonly paired with campaign optimization
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning campaign optimization by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s campaign optimization postings by all campaign optimization postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 23c218c80270126d
- data_as_of
- 2026-10-28
- window_days
- 90