targeting jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, targeting appears in 122 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning targeting.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about targeting
+Is targeting in demand in 2026?
Yes. targeting appears in 122 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Product Manager accounts for the most postings mentioning targeting (25.4% of all postings mentioning targeting).
+What jobs require targeting?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning targeting are Data Analytics Analyst (5.0% of that role’s postings mention targeting), Marketing Analytics Lead (4.8% of that role’s postings mention targeting), Marketing Data Scientist (4.8% of that role’s postings mention targeting).
+What skills are commonly paired with targeting?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), targeting most often appears alongside Python, SQL, segmentation, experimentation, A/B testing.
+Where is targeting most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring targeting are San Francisco, New York City, Chicago, Boston, Madrid, according to the Skillenai jobs index.
+How can I keep up with new targeting content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning targeting alongside the jobs index. You can subscribe to a daily email digest of new targeting content from your Skillenai account.
+Which skills come before and after targeting?
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 targeting — last 90 days
Career paths around targeting
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before targeting
Skills after targeting
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: python | 2 |
| Before: privacy and security concerns | 1 |
| Before: test cases | 1 |
| Before: MILP | 1 |
| Before: optimization | 1 |
| Before: triage of latency | 1 |
| Before: automation | 1 |
| Before: Webinars | 1 |
| After: visualizations | 1 |
| After: Clickhouse | 1 |
| After: Escalation process | 1 |
| After: CRM | 1 |
| After: querying | 1 |
| After: interactive dashboards | 1 |
| After: PostgreSQL | 1 |
| After: Azure Databricks | 1 |
Roles most likely to require targeting
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Data Analytics Analyst | 1 | 5.0% |
| Marketing Analytics Lead | 1 | 4.8% |
| Marketing Data Scientist | 1 | 4.8% |
| Systems Engineer Intern | 1 | 4.8% |
| Data Analytics Director | 1 | 4.2% |
| Group Product Manager | 5 | 3.7% |
| Marketing Analytics Director | 1 | 3.6% |
| Marketing Data Analyst | 2 | 2.9% |
| Analytics Director | 3 | 2.7% |
| Sales Operations Analyst | 1 | 1.6% |
Roles with the most targeting postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 31 | 25.4% |
| Machine Learning Engineer | 6 | 4.9% |
| Software Engineer | 6 | 4.9% |
| Group Product Manager | 5 | 4.1% |
| Analytics Director | 3 | 2.5% |
| Data Scientist | 3 | 2.5% |
| Product Owner | 3 | 2.5% |
| Research Scientist | 3 | 2.5% |
| Commercial Analytics Director | 2 | 1.6% |
| Marketing Data Analyst | 2 | 1.6% |
Top companies posting jobs requiring targeting
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| WPP | 5 |
| Netflix | 5 |
| AbbVie | 4 |
| Airbnb | 3 |
| Moloco | 3 |
| Anduril | 2 |
| Genius Sports | 2 |
| StackAdapt | 2 |
| Stripe | 2 |
| Airwallex | 2 |
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 targeting
| Name | Postings | Share |
|---|---|---|
| San Francisco | 10 | 8.2% |
| New York City | 9 | 7.4% |
| Chicago | 4 | 3.3% |
| Boston | 3 | 2.5% |
| Madrid | 3 | 2.5% |
| Mountain View | 3 | 2.5% |
| Seattle | 3 | 2.5% |
| Toronto | 3 | 2.5% |
| Atlanta | 2 | 1.6% |
Skills commonly paired with targeting
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 targeting by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s targeting postings by all targeting 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
- 3f907ea28627a803
- data_as_of
- 2026-09-30
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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