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Remote Manufacturing Jobs in Vermont (NOW HIRING)

We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in ... Remote Northeast-50% travel * Quartelry Incentive Pay * Paid time off plus paid holidays * Medical ...

Remote Job Schedule: 9/80 As a Business Development Principal, you will have the exciting ... Works closely with US Government customers Original Equipment Manufacturers (OEM) to develop ...

Posted today

Dillon Product Manager

Burlington, VT · Remote

$80K - $121K/yr

... manufacturing environment. The Dillon Product Manager will partner with marketing and engineering ... Experience with ITW business and products #LI-Remote Compensation Information: $80,800 - $121,200 ...

Remote Manufacturing information

See Vermont salary details

$14

$26

$36

How much do remote manufacturing jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote manufacturing in Vermont is $26.52, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $30.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in remote manufacturing?

To thrive in Remote Manufacturing, you need a strong background in process engineering, quality control, and supply chain management, typically backed by a relevant technical degree. Proficiency with digital manufacturing tools such as CAD/CAM software, ERP systems, and cloud-based collaboration platforms is highly valued. Excellent communication, self-motivation, and problem-solving skills are crucial for remote coordination and troubleshooting. These abilities allow you to manage production workflows effectively and ensure product quality while working outside traditional onsite environments.

What is remote manufacturing?

A Remote Manufacturing job involves overseeing, coordinating, or supporting manufacturing processes from a location outside of the physical factory or production site. This can include roles in supply chain management, quality control, production planning, and automation monitoring, often utilizing digital tools and cloud-based systems. Employees in these roles leverage technologies like IoT, AI, and remote collaboration platforms to ensure efficient manufacturing operations.

What are the typical responsibilities of someone working in remote manufacturing?

Professionals in Remote Manufacturing are responsible for overseeing production processes, coordinating with engineering and supply chain teams, and ensuring quality standards are met, all while working remotely. Daily tasks may involve monitoring manufacturing metrics, updating digital production schedules, troubleshooting operational issues through virtual tools, and maintaining documentation in cloud-based systems. Collaboration is often achieved through video calls, shared dashboards, and online project management platforms. This setup allows for greater flexibility and efficiency but requires proactive communication and strong organizational skills. It’s an ideal environment for those comfortable with technology and remote teamwork.

What are the most commonly searched types of Manufacturing jobs in Vermont? The most popular types of Manufacturing jobs in Vermont are:
What are popular job titles related to Remote Manufacturing jobs in Vermont? For Remote Manufacturing jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Remote Manufacturing jobs in Vermont look for? The top searched job categories for Remote Manufacturing jobs in Vermont are:
Infographic showing various Remote Manufacturing job openings in Vermont as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $55,172 per year, or $26.5 per hour.

Senior Finance AI & Automation Developer

EnerSys

White River Junction, VT • On-site, Remote

$95K - $119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


EnerSys rating

7.7

Company rating: 7.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

196th of 536 rated manufacturers


Job description

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. 

What We're Offering

  • Paid time off plus paid holidays
  • Medical/dental/vision insurance plan
  • Life insurance, short/long term disability, tuition reimbursement, flex spending, and employee stock purchase plan
  • 401K plan
  • Culture: We value and strive for excellence in all that we do through innovative technology by creating long lasting relationships with our stakeholders, co-workers, and customers. We continually strive to foster teamwork, engagement and enhance our employee's skills and competence by providing appropriate training.

Compensation Range: $95,300.00 - $119,100.00 

Compensation may vary based on applicant's work experience, education level, skill set, and/or location.  

Work Arrangement: Hybrid (Reading, PA) or Remote

Hybrid Schedule for Local Candidates:

  • Monday & Friday: Remote

  • Tuesday-Thursday: Onsite at our Reading, PA location

Candidates outside the Reading, PA area may be considered for a fully remote arrangement.

Job Purpose

The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes. These projects will require project leadership and coordination with cross-functional departments. This role sits at the intersection of Finance, Technology, and Process Improvement and focuses on eliminating manual work, accelerating reporting cycles, and enabling scalable, intelligent workflows across the Finance organization. The role will partner with finance teams to map current processes, identify automation opportunities, and redesign workflows to reduce manual effort and cycle time. This position will deploy solutions into production environments, validate outputs with stakeholders and coordinate with IT for access, infrastructure, & governance. The position will also monitor performance of automations & AI solutions as well as identify additional use cases and scale successful pilots. Responsibilities may also include other adhoc tasks such as Value Stream analysis and Finance SharePoint Administration, etc. 

Essential Duties and Responsibilities
  • Design and Build Automation Solutions
  • Transformation Project Leadership
  • Power BI, Power Automate, & Power Query Projects
  • AI Agent & Chatbot Projects
  • AI Workflow Projects
  • Predictive Modeling Projects
  • Educate Finance Team about AI Applications & Tools
  • Project Documentation and Change Management
  • Finance SharePoint Site Administration
  • Ad Hoc Projects & Tasks
 
SUPERVISORY RESPONSIBILITIES: No direct reports but will lead projects
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
Education and/or Experience:
  • Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent
  • Project Management experience required
  • Digital Process Automation experience required
  • AI workflow experience required
  • AI Agent creation experience required
  • App building experience required (personal and/or professional)
  • AI-generated coding experience required (i.e. Claude Code, Codex)
  • Azure experience required
  • Strong understanding of data structure and APIs required
  • Experience with Python and/or other code languages required
  • 6 Sigma Black Belt certification preferred  
  • Lean methodology experience preferred
  • Strong IT skills including proficiency with Microsoft Office applications; enterprise resource planning systems (i.e., SAP), etc. 
  • Power BI, Power Automate, & Power Query experience preferred
  • 3-5 Years of relevant experience or equivalent based on project volume and scope
 
Other Skills:
  • Creative in finding solutions and overcoming obstacles
  • Initiative: Aggressive while using good judgment
  • Skilled with data management & project completion
  • Ability to present findings and data to different audiences up to the Executive level
  • Team player while also excelling as an individual contributor.
  • Fast learner with strong analytical and problem-solving skills.
  • Able to successfully manage multiple projects and tasks with various deadlines.
  • Articulate, Positive & Outgoing communicator
  • Optimistic change agent that stays on the cutting edge of technology and technical requirements.
  • Curious: willing to ask questions and learn
  • Highly motivated
  • Adaptable to change
  • Exhibit a servant attitude toward colleagues and internal customers
General Job Requirements
  • This position will work in an office setting, expect minimal physical demands.

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

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We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.


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