AI-assisted tools jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, AI-assisted tools appears in 212 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning AI-assisted tools, with demand share up 11.8% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
212
Demand vs prior month
up 11.8% vs the prior 4 weeks
Top role · 14.2% of skill postings
Top hiring metro
New York City

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Frequently asked questions about AI-assisted tools

+Is AI-assisted tools in demand in 2026?

Yes. AI-assisted tools appears in 212 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Product Manager accounts for the most postings mentioning AI-assisted tools (14.2% of all postings mentioning AI-assisted tools).

+What jobs require AI-assisted tools?

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 AI-assisted tools are People Analytics Analyst (11.1% of that role’s postings mention AI-assisted tools), Clinical Research Scientist (10.0% of that role’s postings mention AI-assisted tools), Design Program Manager (4.8% of that role’s postings mention AI-assisted tools).

+What skills are commonly paired with AI-assisted tools?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), AI-assisted tools most often appears alongside Python, SQL, prototyping, Data analysis, Figma.

+Where is AI-assisted tools most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring AI-assisted tools are New York City, London, Boston, Singapore, San Francisco, according to the Skillenai jobs index.

+How can I keep up with new AI-assisted tools content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning AI-assisted tools alongside the jobs index. You can subscribe to a daily email digest of new AI-assisted tools content from your Skillenai account.

+Which skills come before and after AI-assisted tools?

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 AI-assisted tools — last 90 days

Career paths around AI-assisted tools

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before AI-assisted tools

Before AI-assisted toolswebsites → AI-assisted tools: 1 observed employer moves with this skill pairAI → AI-assisted tools: 1 observed employer moves with this skill pairGame Development → AI-assisted tools: 1 observed employer moves with this skill pairCodeberg → AI-assisted tools: 1 observed employer moves with this skill pairAI-assistedtoolswebsites: 1 moveswebsites1 movesAI: 1 movesAI1 movesGame Development: 1 movesGame Development1 movesCodeberg: 1 movesCodeberg1 moves

Skills after AI-assisted tools

No published outgoing skill pairs yet.

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.

Observed connections and move counts
ConnectionMoves
Before: websites1
Before: AI1
Before: Game Development1
Before: Codeberg1

Roles most likely to require AI-assisted tools

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
People Analytics Analyst311.1%
Clinical Research Scientist210.0%
Design Program Manager14.8%
Advanced Analytics Lead14.3%
Scrum Master13.8%
AI Engineer Intern13.4%
People Analytics Manager13.4%
Marketing Program Manager13.3%
Data Science Analyst12.9%
Engineering Product Manager12.9%

Roles with the most AI-assisted tools postings

RolePostings mentioning skillShare of skill postings
Product Manager3014.2%
Product Designer219.9%
Software Engineer209.4%
Engineering Manager52.4%
Program Manager52.4%
UX Designer52.4%
Legal Technology & AI Attorney41.9%
Security Engineer41.9%
Data Analyst31.4%
Data Scientist31.4%

Top companies posting jobs requiring AI-assisted tools

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring AI-assisted tools
CompanyPostings · 90 days
Cisco10
InterSystems8
Micron5
Philips4
Gibson Dunn4
CLERA3
NiCE3
Arlo3
Datadog3
Thesiscareers2

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 AI-assisted tools

NamePostingsShare
New York City219.9%
London94.2%
Boston62.8%
Singapore62.8%
San Francisco41.9%
San Jose41.9%
Atlanta31.4%
Hyderabad31.4%
Amsterdam20.9%

Skills commonly paired with AI-assisted tools

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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 AI-assisted tools by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AI-assisted tools postings by all AI-assisted tools 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
a5e37d5d845665ac
data_as_of
2026-09-30
window_days
90
Hiring engineers who use AI-assisted tools?

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index