Audience segmentation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-20, Audience segmentation appears in 152 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Audience segmentation.
Last updated · 90d ending 2026-10-20
Which roles want Audience segmentation?
Upload your resume and Skillenai will show which roles your Audience segmentation experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Audience segmentation
+Is Audience segmentation in demand in 2026?
Yes. Audience segmentation appears in 152 job postings indexed by Skillenai over the 90 days ending 2026-10-20. Product Manager accounts for the most postings mentioning Audience segmentation (8.6% of all postings mentioning Audience segmentation).
+What jobs require Audience segmentation?
According to the Skillenai jobs index over the 90 days ending 2026-10-20, among roles with at least 20 postings, the highest shares mentioning Audience segmentation are Marketing Operations Manager (9.7% of that role’s postings mention Audience segmentation), Decision Scientist (5.0% of that role’s postings mention Audience segmentation), Data Science Analyst (3.2% of that role’s postings mention Audience segmentation).
+What skills are commonly paired with Audience segmentation?
Across job postings indexed by Skillenai (90 days ending 2026-10-20), Audience segmentation most often appears alongside SQL, A/B testing, marketing automation, Tableau, Python.
+Where is Audience segmentation most in demand?
As of 2026-10-20, the metro areas posting the most jobs requiring Audience segmentation are New York City, Chicago, San Jose, London, Singapore, according to the Skillenai jobs index.
+How can I keep up with new Audience segmentation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Audience segmentation alongside the jobs index. You can subscribe to a daily email digest of new Audience segmentation content from your Skillenai account.
+Which skills come before and after Audience segmentation?
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 Audience segmentation — last 90 days
Career paths around Audience segmentation
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Audience segmentation
Skills after Audience segmentation
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: Tableau | 3 |
| Before: python | 2 |
| Before: sql | 2 |
| Before: requests | 1 |
| Before: VBA | 1 |
| Before: Levenshtein distance | 1 |
| Before: Ambari | 1 |
| Before: text normalization | 1 |
| After: Google Ads | 2 |
| After: Power BI | 2 |
| After: ROAS | 2 |
| After: hardware manufacturing analytics platform | 1 |
| After: event-driven transfers | 1 |
| After: telemetry | 1 |
| After: python | 1 |
| After: Performance Max | 1 |
Roles most likely to require Audience segmentation
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Marketing Operations Manager | 3 | 9.7% |
| Decision Scientist | 2 | 5.0% |
| Data Science Analyst | 1 | 3.2% |
| Marketing Analytics Manager | 2 | 2.8% |
| Marketing Data Analyst | 2 | 2.8% |
| Principal Data Scientist | 1 | 2.4% |
| Data Engineering Lead | 1 | 1.8% |
| Growth Product Manager | 1 | 1.7% |
| Marketing Analyst | 1 | 1.3% |
| Data Science Manager | 3 | 1.3% |
Roles with the most Audience segmentation postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 13 | 8.6% |
| Marketing Operations Program Manager | 9 | 5.9% |
| User Acquisition Manager | 6 | 3.9% |
| Data Engineer | 4 | 2.6% |
| Marketing Data Science Manager | 4 | 2.6% |
| Product Owner | 4 | 2.6% |
| Data Analyst | 3 | 2.0% |
| Data Science Manager | 3 | 2.0% |
| Data Scientist | 3 | 2.0% |
| Growth Engagement Specialist | 3 | 2.0% |
Top companies posting jobs requiring Audience segmentation
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Stripe | 9 |
| WPP | 7 |
| Mozilla | 6 |
| Wealthsimple | 5 |
| Flohealth | 5 |
| NBCUniversal | 4 |
| HelloKindred | 3 |
| Disney | 3 |
| Vmlenterprisesolutions | 3 |
| Coinbase | 3 |
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 Audience segmentation
| Name | Postings | Share |
|---|---|---|
| New York City | 16 | 10.5% |
| Chicago | 6 | 3.9% |
| San Jose | 6 | 3.9% |
| London | 5 | 3.3% |
| Singapore | 5 | 3.3% |
| San Francisco | 4 | 2.6% |
| Berlin | 3 | 2.0% |
| Madrid | 3 | 2.0% |
| Barcelona | 2 | 1.3% |
Skills commonly paired with Audience segmentation
Explore related pages
How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-20. 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 Audience segmentation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Audience segmentation postings by all Audience segmentation 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
- e12c3bc9fdd5aeb3
- data_as_of
- 2026-10-20
- window_days
- 90