low-code jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, low-code appears in 269 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning low-code, with demand share up 15.7% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want low-code?
Upload your resume and Skillenai will show which roles your low-code experience fits, which skills you already cover, and what is missing.
Frequently asked questions about low-code
+Is low-code in demand in 2026?
Yes. low-code appears in 269 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning low-code (7.8% of all postings mentioning low-code).
+What jobs require low-code?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning low-code are Power Platform Developer (4.8% of that role’s postings mention low-code), AI Enablement Manager (4.5% of that role’s postings mention low-code), AI/ML Scientist (4.5% of that role’s postings mention low-code).
+What skills are commonly paired with low-code?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), low-code most often appears alongside no-code, SQL, Python, APIs, workflow automation.
+Where is low-code most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring low-code are London, Berlin, New York City, San Francisco, Toronto, according to the Skillenai jobs index.
+How can I keep up with new low-code content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning low-code alongside the jobs index. You can subscribe to a daily email digest of new low-code content from your Skillenai account.
+Which skills come before and after low-code?
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 low-code — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around low-code
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before low-code
Skills after low-code
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.
| Connection | Moves |
|---|---|
| Before: Slack | 1 |
| Before: Salesforce.com | 1 |
| Before: Microsoft Teams | 1 |
| Before: CSS | 1 |
| Before: Venmo | 1 |
| Before: Elm | 1 |
| Before: Papaya | 1 |
| Before: Microsoft Excel | 1 |
Roles most likely to require low-code
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Power Platform Developer | 2 | 4.8% |
| AI Enablement Manager | 1 | 4.5% |
| AI/ML Scientist | 1 | 4.5% |
| Back End Developer | 1 | 4.5% |
| Business Architect | 3 | 3.6% |
| GTM Engineer | 6 | 3.4% |
| AI Enablement Lead | 1 | 3.1% |
| Sales Executive | 1 | 2.7% |
| Domain Architect | 1 | 2.4% |
| Fullstack Software Engineer | 2 | 2.2% |
Roles with the most low-code postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 21 | 7.8% |
| Software Engineer | 15 | 5.6% |
| Business Analyst | 14 | 5.2% |
| Forward Deployed Engineer | 10 | 3.7% |
| Solution Architect | 9 | 3.3% |
| GTM Engineer | 6 | 2.2% |
| Product Owner | 6 | 2.2% |
| Solutions Architect | 6 | 2.2% |
| Data Analyst | 5 | 1.9% |
| AI Engineer | 4 | 1.5% |
Top companies posting jobs requiring low-code
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Truelogic | 9 |
| Sopra Steria | 8 |
| Novartis | 6 |
| Accenture | 6 |
| Remote | 5 |
| PA Consulting | 4 |
| DKB Code Factory | 4 |
| Allianz | 3 |
| Tremendous | 3 |
| Agoda | 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 low-code
| Name | Postings | Share |
|---|---|---|
| London | 12 | 4.5% |
| Berlin | 7 | 2.6% |
| New York City | 7 | 2.6% |
| San Francisco | 5 | 1.9% |
| Toronto | 5 | 1.9% |
| Oslo | 4 | 1.5% |
| Paris | 4 | 1.5% |
| Singapore | 4 | 1.5% |
| Munich | 3 | 1.1% |
Skills commonly paired with low-code
Explore related pages
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 2026-10-29. 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 low-code by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s low-code postings by all low-code 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
- bd07541ee09c8fa6
- data_as_of
- 2026-10-29
- window_days
- 90