Safety jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, Safety appears in 231 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Safety, with demand share up 1.6% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about Safety
+Is Safety in demand in 2026?
Yes. Safety appears in 231 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning Safety (9.1% of all postings mentioning Safety).
+What jobs require Safety?
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 Safety are Compliance Program Manager (7.1% of that role’s postings mention Safety), Product Lead (4.4% of that role’s postings mention Safety), AI Deployment Engineer (4.1% of that role’s postings mention Safety).
+What skills are commonly paired with Safety?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), Safety most often appears alongside machine learning, cost optimization, experimentation, security, Python.
+Where is Safety most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring Safety are San Francisco, London, Seattle, Singapore, Mountain View, according to the Skillenai jobs index.
+How can I keep up with new Safety content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Safety alongside the jobs index. You can subscribe to a daily email digest of new Safety content from your Skillenai account.
+Which skills come before and after Safety?
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 Safety — last 90 days
Career paths around Safety
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Safety
Skills after Safety
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: sql | 3 |
| Before: project management | 2 |
| Before: Java | 2 |
| Before: spark | 1 |
| Before: Slack | 1 |
| Before: business systems analysis | 1 |
| Before: social media | 1 |
| Before: ERP reconciliation | 1 |
| After: Logistics | 2 |
| After: MVVM architecture | 1 |
| After: testing | 1 |
| After: google | 1 |
| After: C# | 1 |
| After: node-based UI | 1 |
| After: Thermoforming | 1 |
| After: file parsing | 1 |
Roles most likely to require Safety
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Compliance Program Manager | 2 | 7.1% |
| Product Lead | 7 | 4.4% |
| AI Deployment Engineer | 2 | 4.1% |
| AI Security Specialist | 1 | 3.7% |
| Applied AI Scientist | 1 | 3.4% |
| Deputy Program Manager | 2 | 3.1% |
| Manufacturing Systems Engineer | 1 | 2.8% |
| Lead Engineer | 2 | 2.7% |
| Technical Product Lead | 7 | 2.5% |
| ML Ops Engineer | 1 | 2.4% |
Roles with the most Safety postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 21 | 9.1% |
| Systems Engineer | 17 | 7.4% |
| Product Manager | 16 | 6.9% |
| Applied AI Engineer | 11 | 4.8% |
| Product Owner | 10 | 4.3% |
| Technical Product Manager | 9 | 3.9% |
| Program Manager | 8 | 3.5% |
| Product Engineer | 7 | 3.0% |
| Product Lead | 7 | 3.0% |
| Technical Product Lead | 7 | 3.0% |
Top companies posting jobs requiring Safety
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Bjakcareer | 36 |
| OpenAI | 17 |
| Databricks | 11 |
| Bjak | 5 |
| Parsons Corporation | 5 |
| True Anomaly | 4 |
| Voyager Technologies | 4 |
| Northrop Grumman | 4 |
| Wabtec Corporation | 4 |
| LBG | 4 |
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 Safety
| Name | Postings | Share |
|---|---|---|
| San Francisco | 17 | 7.4% |
| London | 9 | 3.9% |
| Seattle | 8 | 3.5% |
| Singapore | 7 | 3.0% |
| Mountain View | 5 | 2.2% |
| Seoul | 5 | 2.2% |
| Basildon | 3 | 1.3% |
| Costa Mesa | 3 | 1.3% |
| Paris | 3 | 1.3% |
Skills commonly paired with Safety
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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 Safety by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Safety postings by all Safety 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 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
- 1d84ec9db098f1e5
- 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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