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

As of 2026-10-29, playbooks appears in 393 job postings indexed by Skillenai over the past 90 days — Program Manager has the most postings mentioning playbooks, with demand share down 9.3% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
393
Demand vs prior month
down 9.3% vs the prior 4 weeks
Top role · 9.4% of skill postings
Top hiring metro
San Francisco

Which roles want playbooks?

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

Frequently asked questions about playbooks

+Is playbooks in demand in 2026?

Yes. playbooks appears in 393 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Program Manager accounts for the most postings mentioning playbooks (9.4% of all postings mentioning playbooks).

+What jobs require playbooks?

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 playbooks are Agent Product Manager (14.8% of that role’s postings mention playbooks), AI Enablement Manager (9.1% of that role’s postings mention playbooks), Product Operations Manager (8.0% of that role’s postings mention playbooks).

+What skills are commonly paired with playbooks?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), playbooks most often appears alongside incident response, Python, SIEM, automation, SOAR.

+Where is playbooks most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring playbooks are San Francisco, Berlin, Dublin, New York City, Chicago, according to the Skillenai jobs index.

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

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

+Which skills come before and after playbooks?

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 playbooks — last 90 days

Salary distribution

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

Career paths around playbooks

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before playbooks

Before playbooksJenkins → playbooks: 4 observed employer moves with this skill pairterraform → playbooks: 3 observed employer moves with this skill pairPowerShell → playbooks: 2 observed employer moves with this skill pairdocker → playbooks: 2 observed employer moves with this skill pairGit → playbooks: 2 observed employer moves with this skill pairS3 → playbooks: 2 observed employer moves with this skill pairMFA → playbooks: 2 observed employer moves with this skill pairAWS EC2 → playbooks: 2 observed employer moves with this skill pairplaybooksJenkins: 4 movesJenkins4 movesterraform: 3 movesterraform3 movesPowerShell: 2 movesPowerShell2 movesdocker: 2 movesdocker2 movesGit: 2 movesGit2 movesS3: 2 movesS32 movesMFA: 2 movesMFA2 movesAWS EC2: 2 movesAWS EC22 moves

Skills after playbooks

After playbooksplaybooks → python: 4 observed employer moves with this skill pairplaybooks → S3: 3 observed employer moves with this skill pairplaybooks → docker: 3 observed employer moves with this skill pairplaybooks → EC2: 3 observed employer moves with this skill pairplaybooks → bash: 2 observed employer moves with this skill pairplaybooks → RDS: 2 observed employer moves with this skill pairplaybooks → Prometheus: 2 observed employer moves with this skill pairplaybooks → GitHub: 2 observed employer moves with this skill pairplaybookspython: 4 movespython4 movesS3: 3 movesS33 movesdocker: 3 movesdocker3 movesEC2: 3 movesEC23 movesbash: 2 movesbash2 movesRDS: 2 movesRDS2 movesPrometheus: 2 movesPrometheus2 movesGitHub: 2 movesGitHub2 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: Jenkins4
Before: terraform3
Before: PowerShell2
Before: docker2
Before: Git2
Before: S32
Before: MFA2
Before: AWS EC22
After: python4
After: S33
After: docker3
After: EC23
After: bash2
After: RDS2
After: Prometheus2
After: GitHub2

Roles most likely to require playbooks

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

RolePostings mentioning skill% of role postings mentioning skill
Agent Product Manager414.8%
AI Enablement Manager29.1%
Product Operations Manager28.0%
Security Program Manager27.1%
AI Enablement Lead26.2%
Cybersecurity Lead15.0%
Threat Analyst15.0%
AI Engineer Intern14.8%
AI Deployment Strategist24.7%
AI Operations Manager14.3%

Roles with the most playbooks postings

RolePostings mentioning skillShare of skill postings
Program Manager379.4%
Security Engineer358.9%
Software Engineer143.6%
Product Manager123.1%
Technical Program Manager92.3%
Forward Deployed Engineer82.0%
Security Analyst71.8%
Privacy Operations Program Manager61.5%
AI Engineer51.3%
Information Security Analyst51.3%

Top companies posting jobs requiring playbooks

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

Top companies posting jobs requiring playbooks
CompanyPostings · 90 days
Stripe15
OpenAI13
Affirm11
OpenBrain11
Mozilla8
Anthropic7
Elsevier5
Five95
Aircallioinc5
Personio5

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 playbooks

NamePostingsShare
San Francisco164.1%
Berlin112.8%
Dublin112.8%
New York City112.8%
Chicago71.8%
Madrid71.8%
Austin61.5%
London61.5%
Washington51.3%

Skills commonly paired with playbooks

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 playbooks by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s playbooks postings by all playbooks 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: 0.2% to 0.2%. 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
6c2f5d815866c9ae
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index