Product Backlog jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, Product Backlog appears in 213 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Product Backlog, with demand share down 0.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
213
Demand vs prior month
down 0.6% vs the prior 4 weeks
Top role · 44.1% of skill postings
Top hiring metro
New York City

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Frequently asked questions about Product Backlog

+Is Product Backlog in demand in 2026?

Yes. Product Backlog appears in 213 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Product Manager accounts for the most postings mentioning Product Backlog (44.1% of all postings mentioning Product Backlog).

+What jobs require Product Backlog?

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 Product Backlog are Digital Product Owner (4.5% of that role’s postings mention Product Backlog), Product Owner (4.3% of that role’s postings mention Product Backlog), AI Product Owner (3.2% of that role’s postings mention Product Backlog).

+What skills are commonly paired with Product Backlog?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Product Backlog most often appears alongside User stories, Product roadmap, Agile, Scrum, acceptance criteria.

+Where is Product Backlog most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Product Backlog are New York City, Pune, Columbus, Atlanta, Bengaluru, according to the Skillenai jobs index.

+How can I keep up with new Product Backlog content and jobs?

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

+Which skills come before and after Product Backlog?

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 Product Backlog — last 90 days

Career paths around Product Backlog

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Product Backlog

Before Product Backloguser stories → Product Backlog: 4 observed employer moves with this skill paira/b testing → Product Backlog: 3 observed employer moves with this skill pairUser requirements → Product Backlog: 3 observed employer moves with this skill pairUse Cases → Product Backlog: 3 observed employer moves with this skill pairGoogle Analytics → Product Backlog: 3 observed employer moves with this skill pairtest cases → Product Backlog: 2 observed employer moves with this skill pairrequirements gathering → Product Backlog: 2 observed employer moves with this skill pairuser training → Product Backlog: 2 observed employer moves with this skill pairProductBackloguser stories: 4 movesuser stories4 movesa/b testing: 3 movesa/b testing3 movesUser requirements: 3 movesUser requirements3 movesUse Cases: 3 movesUse Cases3 movesGoogle Analytics: 3 movesGoogle Analytics3 movestest cases: 2 movestest cases2 movesrequirements gathering: 2 movesrequirementsgathering2 movesuser training: 2 movesuser training2 moves

Skills after Product Backlog

After Product BacklogProduct Backlog → user stories: 5 observed employer moves with this skill pairProduct Backlog → Jira: 5 observed employer moves with this skill pairProduct Backlog → acceptance criteria: 3 observed employer moves with this skill pairProduct Backlog → user research: 3 observed employer moves with this skill pairProduct Backlog → sprint planning: 3 observed employer moves with this skill pairProduct Backlog → a/b testing: 3 observed employer moves with this skill pairProduct Backlog → data mapping: 2 observed employer moves with this skill pairProduct Backlog → test cases: 2 observed employer moves with this skill pairProductBackloguser stories: 5 movesuser stories5 movesJira: 5 movesJira5 movesacceptance criteria: 3 movesacceptancecriteria3 movesuser research: 3 movesuser research3 movessprint planning: 3 movessprint planning3 movesa/b testing: 3 movesa/b testing3 movesdata mapping: 2 movesdata mapping2 movestest cases: 2 movestest cases2 moves
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: user stories4
Before: a/b testing3
Before: User requirements3
Before: Use Cases3
Before: Google Analytics3
Before: test cases2
Before: requirements gathering2
Before: user training2
After: user stories5
After: Jira5
After: acceptance criteria3
After: user research3
After: sprint planning3
After: a/b testing3
After: data mapping2
After: test cases2

Roles most likely to require Product Backlog

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

RolePostings mentioning skill% of role postings mentioning skill
Digital Product Owner14.5%
Product Owner624.3%
AI Product Owner13.2%
Technical Product Owner42.8%
Software Product Manager12.8%
Lead Product Manager11.5%
Data Product Manager11.1%
Technical Product Manager80.8%
Product Manager940.8%
Group Product Manager10.7%

Roles with the most Product Backlog postings

RolePostings mentioning skillShare of skill postings
Product Manager9444.1%
Product Owner6229.1%
Business Analyst157.0%
Technical Product Manager83.8%
Technical Product Owner41.9%
Portal Product Manager31.4%
Agile Product Owner20.9%
Analytics Product Manager20.9%
AI Product Manager10.5%
AI Product Owner10.5%

Top companies posting jobs requiring Product Backlog

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

Top companies posting jobs requiring Product Backlog
CompanyPostings · 90 days
JPMorgan Chase & Co.17
Barclays12
Grab5
Humana4
Liberty Mutual Insurance4
The Home Depot4
AbbVie4
Endava4
Picoquantitativetrading3
WhiteTech3

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 Product Backlog

NamePostingsShare
New York City125.6%
Pune104.7%
Columbus52.3%
Atlanta31.4%
Bengaluru31.4%
Glasgow31.4%
Paris31.4%
Tampa31.4%
Arlington20.9%

Skills commonly paired with Product Backlog

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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 Product Backlog by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Product Backlog postings by all Product Backlog 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
7c1d248946dda24f
data_as_of
2026-09-30
window_days
90
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Compiled by Jared Rand · Data sourced from the Skillenai labor market index