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Key statistics

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

3 of 8

Track

Support

Family rungs priced

S1 · S2 · S3 · S4 · S5

29-0000

retail_hospitality

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Experienced support professional who helps patients select, fit, and maintain eyewear and contact lenses with minimal supervision. At the Senior Support Specialist (S3) level, the role owns escalated / complex cases, complex or non-standard cases, and drives resolution quality on the team's hardest cases. Guides junior support informally.

What this level does

Independently manages the dispensing process end-to-end, including non-routine measurements and complex prescriptions (progressives, high-index, prism) where standard measurement steps must be judged case by case
Diagnoses why a completed pair fails to fit or read correctly — re-checking measurements, lensometer readings, and lab specs — and decides whether to remake, adjust, or return to the lab
Resolves customer complaints and remakes on the spot, exercising judgment on redos, adjustments, and goodwill within store policy without needing daily instruction
Coordinates the daily order flow between the sales floor, the retail lab/edging bench, and outside labs, prioritizing rush and remake jobs
Verifies and troubleshoots vision-plan claims that reject, reconciling benefit issues with the plan and the customer

Knowledge applied: Detailed knowledge of dispensing and measurement procedures sufficient to handle complex prescriptions and non-routine fits independently.
Complexity & problem solving: Makes judgment calls on moderately difficult cases — remakes, misfits, rejected claims — diagnosing root cause and deciding the fix.
Collaboration & interaction: Requires little daily instruction; coordinates order flow across floor, lab, and outside labs; owns customer complaint resolution.
Typical experience: 2–4 years; skilled in retail optical dispensing.

Skills at this level

Eyewear Measurement: — Takes accurate measurements of the eyes and facial features — including pupillary distance via pupillometer and frame-fit dimensions — to specify lenses that will sit and read correctly for the customer.
Frame and Lens Dispensing: — Recommends frames, lens types, and coatings suited to the customer's prescription and needs, and dispenses finished eyewear, confirming fit and clarity at hand-off.
Eyewear Adjustment and Repair: — Adjusts and repairs eyewear — heat-fitting frames, replacing nosepads, and fixing temples, hinges, and screws — to restore correct fit and function on customer glasses.
Lensometry: — Uses a lensometer to read and verify lens power, add, and axis in a finished pair against the work order to confirm the lab produced the prescription correctly.
Lab Work Order Preparation: — Prepares work orders for optical technicians and outside labs, specifying lens material, coatings, tints, and measurements so the correct lenses are manufactured.
Lens Edging and Finishing: — Operates lens edging and optical finishing equipment to cut lenses to frame shape, observing the safety protocols required at the retail bench.
Point-of-Sale Order Processing: — Completes and processes sales orders promptly and accurately on the optical POS system, capturing lens, frame, and pricing details and tracking order status to pick-up.
Vision Insurance Verification: — Verifies customer vision-plan eligibility and benefits, applies coverage to orders, and reconciles or troubleshoots rejected claims with the plan and the customer.
Frame Inventory Management: — Merchandises frame boards and tracks eyewear stock — counting, restocking, and reordering frames and accessories to keep the sales floor stocked and presentable.
Optical Retail Customer Service: — Guides eyewear customers through selection and fitting, resolves complaints and remakes, and manages expectations on order timing to retain the customer's business.
Optical Equipment Operation: — Uses specialized optical equipment — calipers, lensometers, pupillometers, and lens gauges — to measure, verify, and finish eyewear accurately.

Model-authored from 24 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

Optical — median with , by . Real canon data.

National-base pricing — this family's function differential is pending review, so dollar levels are not function-adjusted (level-over-level % is unaffected).

Pay figures are modeled estimates from our market equation — level-differentiated, with honest-wide bands. They refresh as new leveling evidence lands; treat per-role dollars as directional.

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

SOC 29-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

+10.2%Opticians, Dispensing · United States

72,330 → 79,690 jobs

6,800 openings / year, split into:

replacement / exits 6,568

Growth — new jobs (3%)Exits — backfill (97%)

3% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +2.9%
Growth share of hiring: 3%
Exit / retention pressure high: 97%
Openings / year: 6,800

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 S3 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$81k

San Francisco-Oakland-Fremont, CA$72k

Washington-Arlington-Alexandria, DC-VA-MD-WV$67k

Boulder, CO$66k

Seattle-Tacoma-Bellevue, WA$66k

Boston-Cambridge-Newton, MA-NH$63k

Lexington Park, MD$61k

Trenton-Princeton, NJ$61k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $48k; 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 S3 (S3 — Senior Support Specialist) from the levels around it — this level only. Every word is real canon for this profile.

Scope: Escalated / complex cases
Autonomy: Limited supervision
Complexity: Complex or non-standard cases
Impact: Resolution quality on the team's hardest cases
Decision rights: Owns escalation resolution within policy
Leadership: Guides junior support informally

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

Promotion

The next rung from S3 is S4.

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
Chief Vision Care Officer	jf_optical::E3	$352,063†	confident0.06
Optical Manager	jf_optical::M3	$120,351†	confident0.06
Optometrist	jf_optical::P3	$82,468†	confident0.06
Optical Assistant	jf_optical::S2	$42,923†	confident0.06

†National-base pricing — this family's function differential is pending review, so the dollar level is not function-adjusted.

Capability cluster

O*NET 29-2081

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

S3

jf_optical::S3

Senior Optical Assistant

Optical

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
Superfunction: retail_hospitality
Function: store_operations
Family: optical
Universal level: 3 / 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").

Cashier · S3review0.17

Loss Prevention · S3review0.17

Pharmacy · S3review0.17

Product Specialty · S3review0.17

Store Management · S3review0.17

General · S3review0.17

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 29-2081	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)