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Pod Factory Jobs (NOW HIRING)

Limestone Digital

iOS AI Embedded Engineer

Central, LA · On-site

$75 - $95/hr

... AI Factory blueprint" (60 mins). * Create a final Foundation handoff document that summarises findings and tools shipped, and lays out the recommended starting point for the Phase 2 Velocity Pod.

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NMK Global Inc.

MarTech Lead Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Job Role: Lead Full Stack Engineer - POD Location: San Francisco, CA Lead Full Stack Engineer in ... Cloud engineering experience with Azure services, including Azure Data Factory. * Advanced system ...

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Pod Factory information

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$11K

$55.4K

$90K

How much do pod factory jobs pay per year?

As of Sep 2, 2026, the average yearly pay for pod factory in the United States is $55,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $61,000.00 per year, depending on experience, location, and employer.

What is a pod factory?

A Pod Factory typically refers to a company or facility specializing in the manufacturing and assembly of modular pods. These pods can serve various purposes, such as portable offices, living quarters, classrooms, or even specialized units for healthcare or hospitality. The factory uses prefabrication techniques to build these modules efficiently, allowing for quick deployment and installation on-site. Pod Factories often emphasize sustainability, cost-effectiveness, and customization to meet different client needs.

What are the typical responsibilities and challenges faced by employees working in a pod factory environment?

Employees in pod factory settings are typically tasked with operating machinery, assembling pods, conducting quality checks, and maintaining a clean and safe workspace. One common challenge is adhering to strict production quotas while ensuring product quality is not compromised. Teamwork is essential, as workers often rotate stations and collaborate to troubleshoot minor equipment issues. The work environment is usually fast-paced, and attention to detail is crucial to avoid production errors. Opportunities for advancement often depend on mastering different stations and demonstrating reliability and initiative.

What are the key skills and qualifications needed to thrive as a pod factory worker, and why are they important?

To thrive as a Pod Factory Worker, you generally need a high school diploma or equivalent, strong attention to detail, and basic mechanical aptitude. Familiarity with manufacturing equipment, assembly line systems, and safety certifications like OSHA are typically important. Reliability, teamwork, and adaptability are standout soft skills in this role. These skills ensure efficient production, product quality, and a safe working environment in fast-paced factory settings.
Infographic showing various Pod Factory job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $55,409 per year, or $26.6 per hour.

ERP Migration Factory Manager (Epicor Kinetic)

Noblesoft Technologies

Dallas, TX • On-site

Contractor

Re-posted yesterday

Job description

JD :

The Factory Manager is responsible for leading the ERP Migration Factory for Kinetic upgrade programs, driving scalable, high-quality delivery through a POD-based execution model. This role ensures alignment across multiple Service Transition Managers, POD teams, and shared services to deliver predictable, efficient, and high-throughput customer migrations.

Required Skills & Experience

  • 16–20 years of experience in ERP delivery / large-scale transformation programs
  • Strong expertise in:
    • Kinetic or similar ERP / Kinetic upgrades and migrations
    • Factory / POD-based delivery models
    • Multi-team program management
  • Proven ability to:
    • Manage parallel large-scale migration programs
    • Drive delivery excellence at scale
  • Strong leadership and stakeholder management skills

Key Responsibilities

1. Migration Factory Leadership

  • Own and manage the end-to-end Migration Factory delivery model
  • Lead multiple Service Transition Managers (STMs) and POD teams
  • Drive a factory-style execution approach ensuring:
    • Standardization
    • Repeatability
    • Scalability of migrations

2. POD-Based Delivery Management

  • Oversee multiple Migration PODs, each consisting of:
    • POD Lead
    • Functional Consultant(s)
    • Developers
    • Testers
  • Ensure optimal POD utilization and throughput
  • Balance workload across PODs (POD 1…POD n) based on pipeline demand

3. Stakeholder & Team Governance

  • Manage and align with:
    • Service Transition Managers (3+ streams)
    • Functional Consultants across PODs
    • Technical Architect
    • Shared Reports Developer
  • Establish governance across:
    • Delivery cadence
    • Status tracking (RAG)
    • Risk & issue management
  • Act as the single point of accountability for delivery excellence

4. Capacity & Throughput Optimization

  • Align pipeline demand with factory capacity
  • Drive:
    • Resource planning across PODs
    • Skill alignment (functional vs technical vs testing)
  • Optimize:
    • POD productivity
    • Cycle time for migrations
    • Parallel execution of multiple upgrades

5. Technical & Functional Oversight

  • Work closely with:
    • Technical Architect for solution design and standardization
    • Functional Consultants for business process alignment
  • Ensure adherence to:
    • Epicor Kinetic upgrade best practices
    • Migration frameworks and tools
  • Oversee shared services like:
    • Reports development
    • Data migration POD

6. Data Migration & Shared Services Integration

  • Govern Data Migration POD:
    • POD Lead and development team
  • Ensure seamless integration between:
    • Migration PODs
    • Data migration teams
    • Reporting and AI tool teams
  • Drive data accuracy, validation, and reconciliation processes

7. Continuous Improvement & Automation

  • Leverage AI Tool Team to:
    • Improve migration efficiency
    • Automate repetitive tasks
  • Establish:
    • Best practices
    • Reusable assets
    • Knowledge repositories
  • Continuously improve factory KPIs:
    • Throughput
    • Quality
    • Cost efficiency