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

As of 2026-10-15, Performance Evaluation appears in 123 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Performance Evaluation.

Last updated · 90d ending 2026-10-15

Postings · last 90 days
123
Top role · 13.0% of skill postings
Top hiring metro
New York City

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Frequently asked questions about Performance Evaluation

+Is Performance Evaluation in demand in 2026?

Yes. Performance Evaluation appears in 123 job postings indexed by Skillenai over the 90 days ending 2026-10-15. Product Manager accounts for the most postings mentioning Performance Evaluation (13.0% of all postings mentioning Performance Evaluation).

+What jobs require Performance Evaluation?

According to the Skillenai jobs index over the 90 days ending 2026-10-15, among roles with at least 20 postings, the highest shares mentioning Performance Evaluation are Quality Assurance Supervisor (2.9% of that role’s postings mention Performance Evaluation), QA Lead (2.6% of that role’s postings mention Performance Evaluation), IT Cybersecurity Specialist (1.9% of that role’s postings mention Performance Evaluation).

+What skills are commonly paired with Performance Evaluation?

Across job postings indexed by Skillenai (90 days ending 2026-10-15), Performance Evaluation most often appears alongside Python, Data analysis, machine learning, C++, reliability engineering.

+Where is Performance Evaluation most in demand?

As of 2026-10-15, the metro areas posting the most jobs requiring Performance Evaluation are New York City, Boston, London, Hyderabad, Singapore, according to the Skillenai jobs index.

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

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

+Which skills come before and after Performance Evaluation?

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 Performance Evaluation — last 90 days

Career paths around Performance Evaluation

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Performance Evaluation

Before Performance EvaluationIntroduction to Digital Signal Processing → Performance Evaluation: 1 observed employer moves with this skill paircross-functional teams → Performance Evaluation: 1 observed employer moves with this skill paircompression algorithm → Performance Evaluation: 1 observed employer moves with this skill pairUse Case Modeling → Performance Evaluation: 1 observed employer moves with this skill pairstudents office hours → Performance Evaluation: 1 observed employer moves with this skill pairstreamlined workflows → Performance Evaluation: 1 observed employer moves with this skill pairtechnical specifications → Performance Evaluation: 1 observed employer moves with this skill pairJSP → Performance Evaluation: 1 observed employer moves with this skill pairPerformanceEvaluationIntroduction to Digital Signal Processing: 1 movesIntroduction toDigital SignalProcessing1 movescross-functional teams: 1 movescross-functionalteams1 movescompression algorithm: 1 movescompressionalgorithm1 movesUse Case Modeling: 1 movesUse Case Modeling1 movesstudents office hours: 1 movesstudents officehours1 movesstreamlined workflows: 1 movesstreamlinedworkflows1 movestechnical specifications: 1 movestechnicalspecifications1 movesJSP: 1 movesJSP1 moves

Skills after Performance Evaluation

After Performance EvaluationPerformance Evaluation → python: 2 observed employer moves with this skill pairPerformance Evaluation → Power BI: 2 observed employer moves with this skill pairPerformance Evaluation → large-scale tensor mining package (BIGtensor): 1 observed employer moves with this skill pairPerformance Evaluation → convolutional neural networks (CNNs): 1 observed employer moves with this skill pairPerformance Evaluation → Decision Tree: 1 observed employer moves with this skill pairPerformance Evaluation → antenna: 1 observed employer moves with this skill pairPerformance Evaluation → reconciliation tools: 1 observed employer moves with this skill pairPerformance Evaluation → trusted computing: 1 observed employer moves with this skill pairPerformanceEvaluationpython: 2 movespython2 movesPower BI: 2 movesPower BI2 moveslarge-scale tensor mining package (BIGtensor): 1 moveslarge-scale tensormining package(BIGtensor)1 movesconvolutional neural networks (CNNs): 1 movesconvolutionalneural networks(CNNs)1 movesDecision Tree: 1 movesDecision Tree1 movesantenna: 1 movesantenna1 movesreconciliation tools: 1 movesreconciliationtools1 movestrusted computing: 1 movestrusted computing1 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: Introduction to Digital Signal Processing1
Before: cross-functional teams1
Before: compression algorithm1
Before: Use Case Modeling1
Before: students office hours1
Before: streamlined workflows1
Before: technical specifications1
Before: JSP1
After: python2
After: Power BI2
After: large-scale tensor mining package (BIGtensor)1
After: convolutional neural networks (CNNs)1
After: Decision Tree1
After: antenna1
After: reconciliation tools1
After: trusted computing1

Roles most likely to require Performance Evaluation

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

RolePostings mentioning skill% of role postings mentioning skill
Quality Assurance Supervisor22.9%
QA Lead12.6%
IT Cybersecurity Specialist11.9%
Researcher11.7%
Data Science Director11.6%
Performance Engineer11.6%
IT Program Manager11.3%
Engineering Program Manager21.3%
Quality Assurance Director11.2%
Computer Vision Engineer11.1%

Roles with the most Performance Evaluation postings

RolePostings mentioning skillShare of skill postings
Product Manager1613.0%
Data Scientist97.3%
Systems Engineer97.3%
Program Manager64.9%
Software Engineer64.9%
Software Quality Operations Specialist64.9%
Engineering Manager43.3%
Technical Program Manager43.3%
Data Engineer32.4%
Machine Learning Engineer32.4%

Top companies posting jobs requiring Performance Evaluation

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

Top companies posting jobs requiring Performance Evaluation
CompanyPostings · 90 days
Traba13
Waymo8
GlobaliD4
Globalpr3
Agile Defense3
ALTEN3
City of New York3
Bjakcareer3
Scale AI3
Whoop3

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 Performance Evaluation

NamePostingsShare
New York City2217.9%
Boston64.9%
London64.9%
Hyderabad32.4%
Singapore32.4%
Tewksbury32.4%
Cambridge21.6%
San Diego21.6%
San Francisco21.6%

Skills commonly paired with Performance Evaluation

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-15. 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 Performance Evaluation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Performance Evaluation postings by all Performance Evaluation 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
bf959a2b2f8eab5e
data_as_of
2026-10-15
window_days
90
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Compiled by Jared Rand · Data sourced from the Skillenai labor market index