# Postmasters and Mail Superintendents

> Plan, direct, or coordinate operational, administrative, management, and support services of a U.S. post office; or coordinate activities of workers engaged in postal and related work in assigned post office.

- **SOC code:** 11-9131.00
- **Canonical URL:** https://singulariki.com/roles/role-11-9131-00
- **Also known as:** Distribution Operation Supervisor (SDO), Distribution Operations Manager, Postmaster, Remote Encoding Center Manager, Delivery Supervisor, Distribution Operations Supervisor, Mail Delivery Supervisor, Postal Supervisor
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Monitor employees' work schedules and attendance for payroll purposes.
- Organize and supervise activities, such as the processing of incoming and outgoing mail.
- Resolve customer complaints.
- Prepare employee work schedules.
- Direct and coordinate operational, management, and supportive services of one or a number of postal facilities.
- Hire and train employees, and evaluate their performance.
- Prepare and submit detailed and summary reports of post office activities to designated supervisors.
- Select and train postmasters and managers of associate postal units.
- Inform the public of available services, and of postal laws and regulations.
- Negotiate labor disputes.
- Issue and cash money orders.
- Collect rents for post office boxes.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Administration and Management _(knowledge)_
- Public Safety and Security _(knowledge)_
- English Language _(knowledge)_
- Production and Processing _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Social Perceptiveness _(transferable_skill)_
- Coordination _(transferable_skill)_
- Time Management _(transferable_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Time Management _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Negotiation _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Mathematics _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_
- Collection Point Management System CPMS
- eBuy
- Email software
- Facility database software
- Payroll software

## AI exposure & outlook

- **AI task-overlap index:** 59th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 68th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 79th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 33rd percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 61st percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -3.5% growth (Declining); 0.9k annual openings; 13.1k → 12.7k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $92,730; 13,810 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-11-9131-00_