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

As of 2026-09-30, retention appears in 263 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning retention.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
263
Top role · 43.7% of skill postings
Top hiring metro
New York City

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Frequently asked questions about retention

+Is retention in demand in 2026?

Yes. retention appears in 263 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Product Manager accounts for the most postings mentioning retention (43.7% of all postings mentioning retention).

+What jobs require retention?

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 retention are Growth Product Manager (13.3% of that role’s postings mention retention), AI Lead (4.5% of that role’s postings mention retention), Product Management Director (4.3% of that role’s postings mention retention).

+What skills are commonly paired with retention?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), retention most often appears alongside Activation, Product Management, Onboarding, A/B testing, experimentation.

+Where is retention most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring retention are New York City, London, San Francisco, Seattle, Bengaluru, according to the Skillenai jobs index.

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

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

+Which skills come before and after retention?

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 retention — last 90 days

Salary distribution

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

Career paths around retention

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before retention

Before retentionB2B → retention: 2 observed employer moves with this skill pairNPS → retention: 2 observed employer moves with this skill pairwireframes → retention: 2 observed employer moves with this skill pairbranding → retention: 1 observed employer moves with this skill pairprivacy and security concerns → retention: 1 observed employer moves with this skill pairECM → retention: 1 observed employer moves with this skill pairProject Manager → retention: 1 observed employer moves with this skill pairThird-party audits → retention: 1 observed employer moves with this skill pairretentionB2B: 2 movesB2B2 movesNPS: 2 movesNPS2 moveswireframes: 2 moveswireframes2 movesbranding: 1 movesbranding1 movesprivacy and security concerns: 1 movesprivacy andsecurity concerns1 movesECM: 1 movesECM1 movesProject Manager: 1 movesProject Manager1 movesThird-party audits: 1 movesThird-party audits1 moves

Skills after retention

After retentionretention → Google Suite: 1 observed employer moves with this skill pairretention → enterprise data platform modernization: 1 observed employer moves with this skill pairretention → NLP: 1 observed employer moves with this skill pairretention → Meeting insights: 1 observed employer moves with this skill pairretention → leadership and instructional improvements: 1 observed employer moves with this skill pairretention → advanced product recommendation algorithms: 1 observed employer moves with this skill pairretention → optimization: 1 observed employer moves with this skill pairretention → view depth: 1 observed employer moves with this skill pairretentionGoogle Suite: 1 movesGoogle Suite1 movesenterprise data platform modernization: 1 movesenterprise dataplatformmodernization1 movesNLP: 1 movesNLP1 movesMeeting insights: 1 movesMeeting insights1 movesleadership and instructional improvements: 1 movesleadership andinstructionalimprovements1 movesadvanced product recommendation algorithms: 1 movesadvanced productrecommendationalgorithms1 movesoptimization: 1 movesoptimization1 movesview depth: 1 movesview depth1 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: B2B2
Before: NPS2
Before: wireframes2
Before: branding1
Before: privacy and security concerns1
Before: ECM1
Before: Project Manager1
Before: Third-party audits1
After: Google Suite1
After: enterprise data platform modernization1
After: NLP1
After: Meeting insights1
After: leadership and instructional improvements1
After: advanced product recommendation algorithms1
After: optimization1
After: view depth1

Roles most likely to require retention

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

RolePostings mentioning skill% of role postings mentioning skill
Growth Product Manager813.3%
AI Lead14.5%
Product Management Director14.3%
AI Product Designer14.0%
Marketing Analytics Director13.7%
AI Product Owner13.2%
AI Operations Engineer13.1%
Lead Product Manager22.9%
Pricing Analyst12.6%
Principal Data Scientist12.5%

Roles with the most retention postings

RolePostings mentioning skillShare of skill postings
Product Manager11543.7%
Software Engineer124.6%
Program Manager114.2%
Growth Product Manager83.0%
Product Designer51.9%
Business Analyst41.5%
Platform Engineer41.5%
Data Scientist31.1%
Engineering Manager31.1%
Group Product Manager31.1%

Top companies posting jobs requiring retention

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

Top companies posting jobs requiring retention
CompanyPostings · 90 days
Synthesia6
OKX5
Visa4
OpenAI3
Parsons Corporation3
Stripe3
Anthropic3
DistroKid3
Elastic3
Blockchain3

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 retention

NamePostingsShare
New York City2810.6%
London72.7%
San Francisco72.7%
Seattle72.7%
Bengaluru51.9%
Berlin51.9%
San Jose51.9%
Atlanta41.5%
Boston41.5%

Skills commonly paired with retention

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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 retention by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s retention postings by all retention 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
2745fe73d509bb2c
data_as_of
2026-09-30
window_days
90
Hiring engineers who use retention?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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