Hiring jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-04, Hiring appears in 250 job postings indexed by Skillenai over the past 90 days — Engineering Manager has the most postings mentioning Hiring, with demand share down 8.7% vs the prior 4 weeks.
Last updated · 90d ending 2026-11-04
Which roles want Hiring?
Upload your resume and Skillenai will show which roles your Hiring experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Hiring
+Is Hiring in demand in 2026?
Yes. Hiring appears in 250 job postings indexed by Skillenai over the 90 days ending 2026-11-04. Engineering Manager accounts for the most postings mentioning Hiring (51.2% of all postings mentioning Hiring).
+What jobs require Hiring?
According to the Skillenai jobs index over the 90 days ending 2026-11-04, among roles with at least 20 postings, the highest shares mentioning Hiring are Software Development Manager (9.3% of that role’s postings mention Hiring), Machine Learning Manager (8.3% of that role’s postings mention Hiring), Product Director (8.1% of that role’s postings mention Hiring).
+What skills are commonly paired with Hiring?
Across job postings indexed by Skillenai (90 days ending 2026-11-04), Hiring most often appears alongside Performance management, coaching, mentoring, Onboarding, Engineering management.
+Where is Hiring most in demand?
As of 2026-11-04, the metro areas posting the most jobs requiring Hiring are San Francisco, New York City, London, Toronto, Dublin, according to the Skillenai jobs index.
+How can I keep up with new Hiring content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Hiring alongside the jobs index. You can subscribe to a daily email digest of new Hiring content from your Skillenai account.
+Which skills come before and after Hiring?
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 Hiring — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Hiring
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Hiring
Skills after Hiring
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: Tools | 1 |
| Before: feature extraction | 1 |
| Before: bookkeeping | 1 |
| Before: relevance filtering | 1 |
| Before: ETL | 1 |
| Before: reusability | 1 |
| Before: data entry | 1 |
| Before: insurance solutions | 1 |
| After: purchasing | 2 |
| After: retrospectives | 2 |
| After: sprint reviews | 2 |
| After: sprint planning | 2 |
| After: Newsletters | 1 |
| After: e-commerce store setup | 1 |
| After: cross-functional teams | 1 |
| After: ABA therapy | 1 |
Roles most likely to require Hiring
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Software Development Manager | 9 | 9.3% |
| Machine Learning Manager | 2 | 8.3% |
| Product Director | 3 | 8.1% |
| Machine Learning Engineering Manager | 4 | 6.6% |
| VP of Engineering | 3 | 6.0% |
| Engineering Leader | 1 | 5.0% |
| Chief Executive Officer | 1 | 4.3% |
| Solution Engineering Manager | 1 | 4.3% |
| Hardware Engineering Manager | 1 | 4.2% |
| Solutions Engineering Manager | 2 | 4.1% |
Roles with the most Hiring postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Engineering Manager | 128 | 51.2% |
| Software Engineering Manager | 11 | 4.4% |
| Product Manager | 10 | 4.0% |
| Program Manager | 10 | 4.0% |
| Software Development Manager | 9 | 3.6% |
| Director of Engineering | 6 | 2.4% |
| Head of Engineering | 5 | 2.0% |
| Machine Learning Engineering Manager | 4 | 1.6% |
| AI Engineering Manager | 3 | 1.2% |
| Civil Engineering Manager | 3 | 1.2% |
Top companies posting jobs requiring Hiring
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Stripe | 9 |
| Clio | 8 |
| Databricks | 7 |
| Workato | 5 |
| Wrike | 5 |
| Wolt | 4 |
| Wayve | 4 |
| Flow Traders | 4 |
| Gitlab | 4 |
| Autodesk | 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 Hiring
| Name | Postings | Share |
|---|---|---|
| San Francisco | 25 | 10.0% |
| New York City | 12 | 4.8% |
| London | 8 | 3.2% |
| Toronto | 8 | 3.2% |
| Dublin | 4 | 1.6% |
| Helsinki | 4 | 1.6% |
| Seattle | 4 | 1.6% |
| Amsterdam | 3 | 1.2% |
| Boston | 3 | 1.2% |
Skills commonly paired with Hiring
Explore related pages
- Software Development Manager
- Machine Learning Manager
- Product Director
- Machine Learning Engineering Manager
- VP of Engineering
- Engineering Leader
- Chief Executive Officer
- Solution Engineering Manager
- Performance management
- coaching
- mentoring
- Onboarding
- Engineering management
- software engineering
- Distributed systems
- System design
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 2026-11-04. 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 Hiring by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Hiring postings by all Hiring 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). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 913aa2c14344ebb1
- data_as_of
- 2026-11-04
- window_days
- 90