feature development jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, feature development appears in 90 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning feature development.
Last updated · 90d ending 2026-10-29
Which roles want feature development?
Upload your resume and Skillenai will show which roles your feature development experience fits, which skills you already cover, and what is missing.
Frequently asked questions about feature development
+Is feature development in demand in 2026?
Yes. feature development appears in 90 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning feature development (34.4% of all postings mentioning feature development).
+What jobs require feature development?
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 feature development are Fraud Data Analyst (5.0% of that role’s postings mention feature development), Simulation Software Engineer (4.0% of that role’s postings mention feature development), Applied Data Scientist (3.6% of that role’s postings mention feature development).
+What skills are commonly paired with feature development?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), feature development most often appears alongside Python, SQL, machine learning, experimentation, Data analysis.
+Where is feature development most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring feature development are Arlington, New York City, Kyiv, London, Mountain View, according to the Skillenai jobs index.
+How can I keep up with new feature development content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning feature development alongside the jobs index. You can subscribe to a daily email digest of new feature development content from your Skillenai account.
+Which skills come before and after feature development?
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 feature development — last 90 days
Career paths around feature development
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before feature development
Skills after feature development
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: logos | 1 |
| Before: testing | 1 |
| Before: budget allocation | 1 |
| Before: Quality Assurance | 1 |
| Before: TCAP | 1 |
| Before: RTP/RTCP | 1 |
| Before: SEO | 1 |
| Before: content management | 1 |
| After: sql | 2 |
| After: PHP | 1 |
| After: ETL | 1 |
| After: a/b testing | 1 |
| After: A-B-A Testing | 1 |
| After: python | 1 |
| After: Teleoperation | 1 |
| After: best developer award | 1 |
Roles most likely to require feature development
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Fraud Data Analyst | 1 | 5.0% |
| Simulation Software Engineer | 1 | 4.0% |
| Applied Data Scientist | 1 | 3.6% |
| Machine Learning Engineering Manager | 2 | 3.2% |
| Lead Product Manager | 1 | 1.5% |
| Principal Product Manager | 2 | 1.0% |
| Machine Learning Engineer | 6 | 0.3% |
| Product Manager | 31 | 0.2% |
| Data Scientist | 8 | 0.1% |
| Frontend Engineer | 1 | 0.1% |
Roles with the most feature development postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 31 | 34.4% |
| Software Engineer | 16 | 17.8% |
| Data Scientist | 8 | 8.9% |
| Machine Learning Engineer | 6 | 6.7% |
| Engineering Manager | 2 | 2.2% |
| Machine Learning Engineering Manager | 2 | 2.2% |
| Networking Tech Lead | 2 | 2.2% |
| Principal Product Manager | 2 | 2.2% |
| Technical Program Manager | 2 | 2.2% |
| AI / Machine Learning Engineer | 1 | 1.1% |
Top companies posting jobs requiring feature development
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Capital One | 8 |
| Mastercard | 4 |
| OpenBrain | 4 |
| Grab | 3 |
| SKELAR | 2 |
| Stripe | 2 |
| TENTENS Tech team | 2 |
| 2 | |
| Affirm | 2 |
| Brigit | 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 feature development
| Name | Postings | Share |
|---|---|---|
| Arlington | 5 | 5.6% |
| New York City | 5 | 5.6% |
| Kyiv | 4 | 4.4% |
| London | 4 | 4.4% |
| Mountain View | 4 | 4.4% |
| San Francisco | 3 | 3.3% |
| Los Angeles | 2 | 2.2% |
| Milpitas | 2 | 2.2% |
| Pune | 2 | 2.2% |
Skills commonly paired with feature development
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 feature development by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s feature development postings by all feature development 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
- 89ac33943e861516
- data_as_of
- 2026-10-29
- window_days
- 90