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Key statistics

The identity block — every fact is canon, none is generated.

2 of 8

Track

Support

Family rungs priced

—

49-0000

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Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

An individual contributor who performs routine facility, equipment, and calibration maintenance tasks under general guidance. At the Support Specialist (S2) level, the role owns a defined queue or customer set, standard issues within known procedures, and drives customer satisfaction for own queue. None.

What this level does

Carry out multi-step preventive and corrective maintenance work orders on a defined set of machines and tools, following documented procedures for repair and maintenance.
Open, update and close work orders in the plant-maintenance / SAP maintenance module, entering labor, parts consumed and fault codes against the correct asset.
Communicate equipment status, production schedules and completed maintenance to production line staff to keep the line running.
Recognize when a task deviates from the standard procedure and flag it to a senior technician rather than improvising, escalating recurring faults.

Knowledge applied: Broad knowledge of maintenance procedures and the machines/tools covered; enough system knowledge to record work correctly in the plant-maintenance/SAP module.
Complexity & problem solving: Semi-routine, multi-step work orders; recognizes when a job deviates from procedure and escalates rather than deviating alone.
Collaboration & interaction: Routine interaction with line staff and peer technicians; receives general priorities and deadlines.
Typical experience: 1–2 years; some maintenance/technical experience.

Skills at this level

Preventive Maintenance Execution: — Performs scheduled inspection and servicing rounds on production equipment against PM checklists and intervals, logging condition readings and completion to keep lines available.
Mechanical Knowledge: — Applies knowledge of machines and tools — their design, use, repair and maintenance — to diagnose and restore production equipment.
PLC-Controlled Equipment Troubleshooting: — Interprets programmable logic controller (PLC) status and program logic to isolate and correct faults on automated production equipment.
CNC Machine Support: — Diagnoses and clears alarm conditions and mechanical faults on CNC machining equipment such as Siemens SINUMERIK controls, returning it to spec.
SCADA Monitoring: — Reads supervisory control and data acquisition (SCADA) displays to spot process/equipment abnormalities and trace them to the failing asset.
Work Order Administration in Plant-Maintenance Systems: — Opens, updates and closes maintenance work orders in the plant-maintenance / SAP maintenance module, entering labor, fault codes and parts against the correct asset.
Maintenance Parts and MRP Records: — Stages spares against work orders and reconciles consumption using materials-requirement-planning (MRP) stock records to keep required parts on hand.
Equipment Reliability Data Compilation: — Constructs and compiles capability and failure data for manufacturing equipment using analytical and CIM tools to identify repeat-failure machines.
Root Cause and Corrective/Preventive Action: — Traces recurring equipment problems to their root cause and defines corrective and preventive actions, revising PM procedures to stop recurrence.
Quality and Specification Verification: — Evaluates repaired and serviced equipment against specifications and quality standards before returning it to production.
Maintenance Work Prioritization: — Sequences and schedules work orders against production needs, coordinating equipment access and downtime windows with line supervisors.
Maintenance Procedure Development: — Creates new preventive-maintenance procedures, inspection methods and reliability standards for a specialty equipment area and embeds them in the maintenance system.
Working Lead / Peer Guidance: — Assigns and coordinates maintenance work on a shift, guides less experienced technicians through difficult repairs, and trains the crew on new equipment and procedures.

Model-authored from 21 retrieved sources, then adversarially reviewed by an independent judge panel and held to a minimum-evidence floor before publication. Distinct from corpus-extracted content, which is labelled as such.

Pay across the ladder

No priced rungs for this family's ladder yet.

Demand — is the field growing, or just turning over?

SOC 49-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+7.9%Maintenance and Repair Workers, General · United States

1,418,990 → 1,531,700 jobs

159,800 openings / year, split into:

replacement / exits 153,607

Growth — new jobs (4%)Exits — backfill (96%)

4% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +3.8%
Growth share of hiring: 4%
Exit / retention pressure high: 96%
Openings / year: 159,800

Two quantities, kept apart: observed = employment growth differenced from two BLS OEWS vintages (what already happened); projected = BLS Employment Projections 2024–34, openings decomposed into growth + exits (growth derived from projected employment change). Neither is a pay figure.

Where this role sits — growth vs. pay

level S2 held

Demand axis is projected growth (not raw openings — that just measures churn). A curated, de-duplicated set of recognizable occupations held at this level; this role is highlighted.

Where it pays — by metro

OEWS metro median

San Jose-Sunnyvale-Santa Clara, CA$72k

San Francisco-Oakland-Fremont, CA$64k

Washington-Arlington-Alexandria, DC-VA-MD-WV$59k

Boulder, CO$59k

Seattle-Tacoma-Bellevue, WA$59k

Boston-Cambridge-Newton, MA-NH$56k

Lexington Park, MD$55k

Trenton-Princeton, NJ$54k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $43k; the demand-cube initiative will add growth-by-metro.

What changes across the ladder

Level-distinction canon isn't available for the adjacent levels of this profile yet.

Level differentiators

What separates S2 (S2 — Support Specialist) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A defined queue or customer set
Autonomy: General supervision; handles standard cases independently
Complexity: Standard issues within known procedures
Impact: Customer satisfaction for own queue
Decision rights: Resolves standard cases; escalates complex
Leadership: None

Full level-by-level matrix (side by side across the ladder) lives on the Ladder drill-down — not here.

Promotion

The next rung from S2 is S3.

Performance criteria for this profile render in the assessment kit →

People also watch

Nearest coordinate neighbors — same , same level. Each row's (confident / review / no match) comes from its — computed, not curated.

Profile	Key	Median	Δ structural
Accountant	jfo_jfm_accounting-controllership-accounting-management::S2	—	confident0.00
Cost Accounting Assistant	jfo_jfm_accounting-cost-accounting::S2	—	confident0.00
General Accountant	jfo_jfm_accounting-general-accounting-management::S2	—	confident0.00
Accounting Support Associate	jfo_jfm_accounting-general-accounting::S2	—	confident0.00

Capability cluster

O*NET 49-9071

Core to this role. Click any element with an ⓘ for its O*NET definition. A job-specific capability model (SkillFrame) will sharpen this and add worked examples.

The Job Swatch

S2

jfo_jfm_manufacturing-production-engineering-facilities-maintenance-::S2

Facilities and Maintenance Technician

The swatch is JobFrame's core primitive: a hueset deterministically by the role's superfunction, the profileKey as its color code, the level ladder, and a content fingerprint. Two swatches that look alike are alike.

Because every role carries computable coordinates, similarity, leveling, and pricing become measurable instead of arguable— the whole point of "Pantone for jobs."

Structural

structural@1

Where it sits— position in the work taxonomy + level (weighted Gower, level > function > focus).

Track: S
Universal level: 2 / 8

Content

content@2

What it's about— a fingerprint over the role's tasks & capabilities.

Two roles can sit far apart structurally yet be close in content — that gap is itself a signal.

3-state matching

How any two swatches compare — a real distance in coordinate space, resolved to a calibrated verdict (never a fake "94% match").

jfo_jfm_accounting-controllership-accounting-management::S2 · S2confident0.00

jfo_jfm_accounting-cost-accounting::S2 · S2confident0.00

jfo_jfm_accounting-general-accounting-management::S2 · S2confident0.00

jfo_jfm_accounting-general-accounting::S2 · S2confident0.00

jfo_jfm_administrative-corporate-services-administrative-services-ma::S2 · S2confident0.00

jfo_jfm_administrative-corporate-services-service-delivery::S2 · S2confident0.00

Editions — frozen & versioned

structural@1live

Released 2026-06-17

content@2live

Released 2026-07-28

pay@2live

Released 2026-07-02

semantic@1live

Released 2026-07-02

Coordinates belong to a frozen, versioned edition — a coordinate computed today still means the same thing next quarter. Re-fitting issues a new edition, so comparisons are never silently redefined.

How to read this profile

Every number here is traceable — to a named source, a stated method, and an as-of date — and each value is labeled by how we know it: observed from data, computed by a model, projected forward, or governed canon. Nothing is a black box, and nothing is invented to fill a gap.

Where every number comes from

What	Source & method	Edition	State
Median pay + range	JobFrame pay equation (function base × family multiplier × level × focus differential)	pay@2	computed
Pay across the ladder	Same equation applied at each universal level	pay@2	computed
Demand — growth & openings	BLS Employment Projections; openings decomposed into growth + exits	EP 2024–34	projected
Pay by metro	BLS OEWS metropolitan medians	OEWS 2024	observed
Level distinctions	JobFrame universal-level canon (scope · autonomy · complexity · impact · decision rights · leadership)	canon	canon
Capability cluster	O*NET Knowledge / Skills / Abilities	O*NET 49-9071	computed
Coordinates	JobFrame coordinate system — structural (weighted Gower) + content fingerprint	structural@1 · content@2 · pay@2 · semantic@1	computed
Related roles	Nearest neighbors in the structural coordinate space	structural@1	computed

The principles behind the numbers

Ranges, not false precision

Pay is P10 · median · P90, never a single misleading number.

Three honest states, never a fake %

Role matches resolve to confident / review / no-match — a calibrated verdict, not a made-up percentage.

Provenance on every value

Each number carries whether it's observed, computed, projected, or canon — so you always know how much to lean on it.

Gaps shown as gaps

When a figure isn't available at the grain you need, we say so — we don't fabricate a number to fill the cell.

Frozen, versioned editions

Pay and coordinate editions are pinned, so a comparison you make today still means the same thing next quarter.

Privacy by min-N

Any aggregate over people is suppressed below a minimum count, so no individual is identifiable.

Freshness

As of2026-07-30Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)