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

As of 2026-10-29, Flows appears in 305 job postings indexed by Skillenai over the past 90 days — Salesforce Developer has the most postings mentioning Flows, with demand share down 9.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
305
Demand vs prior month
down 9.6% vs the prior 4 weeks
Top role · 13.8% of skill postings
Top hiring metro
Hyderabad

Which roles want Flows?

Upload your resume and Skillenai will show which roles your Flows experience fits, which skills you already cover, and what is missing.

Frequently asked questions about Flows

+Is Flows in demand in 2026?

Yes. Flows appears in 305 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Salesforce Developer accounts for the most postings mentioning Flows (13.8% of all postings mentioning Flows).

+What jobs require Flows?

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 Flows are Salesforce Engineer (22.2% of that role’s postings mention Flows), Salesforce Architect (21.4% of that role’s postings mention Flows), Salesforce Technical Lead (21.4% of that role’s postings mention Flows).

+What skills are commonly paired with Flows?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), Flows most often appears alongside Apex, Salesforce, CI/CD, Lightning Web Components, SOQL.

+Where is Flows most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring Flows are Hyderabad, San Francisco, New York City, Pune, Bengaluru, according to the Skillenai jobs index.

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

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

+Which skills come before and after Flows?

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 Flows — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Flows

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Flows

Before FlowsJira → Flows: 5 observed employer moves with this skill pairJenkins → Flows: 3 observed employer moves with this skill pairMVVM → Flows: 2 observed employer moves with this skill pairSOQL → Flows: 2 observed employer moves with this skill pairuser research → Flows: 2 observed employer moves with this skill pairJetpack Compose → Flows: 2 observed employer moves with this skill pairmachine learning → Flows: 2 observed employer moves with this skill pairApex → Flows: 2 observed employer moves with this skill pairFlowsJira: 5 movesJira5 movesJenkins: 3 movesJenkins3 movesMVVM: 2 movesMVVM2 movesSOQL: 2 movesSOQL2 movesuser research: 2 movesuser research2 movesJetpack Compose: 2 movesJetpack Compose2 movesmachine learning: 2 movesmachine learning2 movesApex: 2 movesApex2 moves

Skills after Flows

After FlowsFlows → automation: 2 observed employer moves with this skill pairFlows → Salesforce: 2 observed employer moves with this skill pairFlows → React: 2 observed employer moves with this skill pairFlows → Data quality: 2 observed employer moves with this skill pairFlows → JavaScript: 2 observed employer moves with this skill pairFlows → Early-Bird: 1 observed employer moves with this skill pairFlows → python: 1 observed employer moves with this skill pairFlows → monitoring dashboards: 1 observed employer moves with this skill pairFlowsautomation: 2 movesautomation2 movesSalesforce: 2 movesSalesforce2 movesReact: 2 movesReact2 movesData quality: 2 movesData quality2 movesJavaScript: 2 movesJavaScript2 movesEarly-Bird: 1 movesEarly-Bird1 movespython: 1 movespython1 movesmonitoring dashboards: 1 movesmonitoringdashboards1 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: Jira5
Before: Jenkins3
Before: MVVM2
Before: SOQL2
Before: user research2
Before: Jetpack Compose2
Before: machine learning2
Before: Apex2
After: automation2
After: Salesforce2
After: React2
After: Data quality2
After: JavaScript2
After: Early-Bird1
After: python1
After: monitoring dashboards1

Roles most likely to require Flows

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

RolePostings mentioning skill% of role postings mentioning skill
Salesforce Engineer1022.2%
Salesforce Architect1821.4%
Salesforce Technical Lead621.4%
Salesforce Technical Architect1321.3%
Salesforce Developer4218.1%
Business Systems Engineer511.4%
Salesforce Business Analyst37.5%
Systems Analyst25.1%
Security Platform Engineer13.0%
Salesforce Solution Architect12.7%

Roles with the most Flows postings

RolePostings mentioning skillShare of skill postings
Salesforce Developer4213.8%
Software Engineer4113.4%
Forward Deployed Engineer278.9%
Salesforce Architect185.9%
Salesforce Technical Architect134.3%
Salesforce Engineer103.3%
Business Analyst72.3%
Android Engineer62.0%
Salesforce Technical Lead62.0%
Solution Architect62.0%

Top companies posting jobs requiring Flows

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

Top companies posting jobs requiring Flows
CompanyPostings · 90 days
Salesforce25
Spindle Ai (spindle.ai)14
Airkit10
Cisco10
Source Group International7
Steampunk7
Nagarro7
NeuraFlash7
Barclays5
Ramp4

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 Flows

NamePostingsShare
Hyderabad113.6%
San Francisco103.3%
New York City82.6%
Pune82.6%
Bengaluru62.0%
London62.0%
McLean62.0%
Paris62.0%
Berlin51.6%

Skills commonly paired with Flows

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 Flows by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Flows postings by all Flows 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
2c2616c8a7d92219
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index