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Factory Manager Jobs in Silver Spring, MD (NOW HIRING)

Waste Management

Plant Maintenance Supervisor

Elkridge, MD · On-site

$80K - $85K/yr

Manages the preventive maintenance program and maintenance of equipment and facilities. * Develops, maintains and administers an organization qualified to maintain all equipment and facilities in a ...

Waste Management

Plant Maintenance Supervisor

Elkridge, MD · On-site

$80K - $85K/yr

Manages the preventive maintenance program and maintenance of equipment and facilities. * Develops, maintains and administers an organization qualified to maintain all equipment and facilities in a ...

VivSoft Technologies

Program Manager

Falls Church, VA · Remote

$100K - $127K/yr

These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies Job Summary: The Program Manager will lead a team supporting ...

VivSoft Technologies LLC

Program Manager

Falls Church, VA · On-site +1

$100K - $127K/yr

These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies Job Summary: The Program Manager will lead a team supporting ...

Factory Motor Parts Co

Delivery Driver

Baileys Crossroads, VA · On-site

$19 - $23.75/hr

You should also be highly organized with strong time-management and prioritization skills. It is ... As a Delivery Driver, you will serve as the "Face of Factory Motor Parts." You will be responsible ...

Factory Motor Parts Co

Delivery Driver

Severn, MD · On-site

$18.50 - $23.25/hr

You should also be highly organized with strong time-management and prioritization skills. It is ... As a Delivery Driver, you will serve as the "Face of Factory Motor Parts." You will be responsible ...

Hadrian Automation

Proposal Manager

Washington, DC · On-site

$125K - $140K/yr

Hadrian - Manufacturing the Future Hadrian is building autonomous factories to reindustrialize ... Own and manage the POA&M for each assigned proposal from RFP/RFQ release through submission ...

Holder Construction

Commissioning Manager

Ashburn, VA · On-site

Lead and manage the full MEP commissioning process from preconstruction through closeout, including Factory Witness Testing (FWT/FAT), Integrated Systems Testing (IST), and final commissioning ...

Jcrew

Assistant Manager

Washington, DC

$21.50 - $27/hr

Job Summary As an Assistant Manager, you're a part of the leadership team. You help drive ... Crew Factory, and Madewell * Entertainment, travel, fitness, and mobile technology discounts ...

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Factory Manager information

See Silver Spring, MD salary details

$39.8K

$76K

$109.1K

How much do factory manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for factory manager in Silver Spring, MD is $76,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $92,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by factory managers and how can they be addressed?

Factory Managers often encounter challenges such as maintaining production efficiency, managing a diverse workforce, ensuring workplace safety, and minimizing downtime due to equipment failures. Addressing these challenges involves implementing robust training programs, fostering clear communication across teams, and adopting preventive maintenance strategies. Regularly reviewing production processes and encouraging a culture of continuous improvement can also help Factory Managers effectively overcome these obstacles and keep operations running smoothly.

What is the difference between Factory Manager vs Production Supervisor?

AspectFactory ManagerProduction Supervisor
CredentialsBachelor's degree in engineering, manufacturing, or related field; management experienceHigh school diploma or associate degree; experience in production roles
Work EnvironmentOversees entire factory operations, including multiple departmentsManages daily production activities on the shop floor
Industry UsageCommonly employed in manufacturing plants across various industriesTypically found in manufacturing and assembly lines

The Factory Manager oversees the entire manufacturing facility, focusing on strategic planning, resource management, and overall operations. In contrast, the Production Supervisor handles daily production tasks, supervising workers and ensuring production targets are met. Both roles require industry knowledge, but the Factory Manager has broader responsibilities and higher-level decision-making authority.

What does a factory manager do?

A Factory Manager oversees the daily operations of a manufacturing facility, ensuring that production processes run smoothly, efficiently, and safely. They are responsible for managing staff, maintaining equipment, implementing safety protocols, and meeting production targets. Factory Managers also coordinate with other departments, handle budgeting, and strive to improve productivity and product quality. Their role is essential in ensuring that manufacturing goals are met on time and within budget.

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

To thrive as a Factory Manager, you need strong leadership, production management expertise, and a background in engineering or manufacturing, often supported by a relevant degree and industry experience. Familiarity with enterprise resource planning (ERP) systems, lean manufacturing methodologies, and safety regulations is essential. Excellent problem-solving, communication, and team-building skills help foster a productive work environment and drive continuous improvement. These skills and qualities ensure efficient operations, employee safety, and the achievement of production targets in a competitive manufacturing environment.

What is a factory manager?

A factory manager supervises the daily production operations at a factory, plant, or other manufacturing or industrial facility. As a factory manager, your primary responsibility is to delegate tasks to employees so that each project runs smoothly. Specific job duties include hiring and training employees, ensuring the team maintains the production schedule efficiently, working closely with upper management to report on each project, and managing budgets and goals. Performing quality checks on finished products and equipment is also a major part of your job. Ultimately, you are the person responsible for safety and health regulations pertaining to the workplace and employees.

How much does a factory manager earn?

Factory managers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, industry, and location. They often oversee production processes, manage staff, and ensure safety and efficiency in manufacturing environments.
More about Factory Manager jobs
What are the most commonly searched types of Factory jobs in Silver Spring, MD? The most popular types of Factory jobs in Silver Spring, MD are:
What are popular job titles related to Factory Manager jobs in Silver Spring, MD? For Factory Manager jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Factory Manager jobs in Silver Spring, MD look for? The top searched job categories for Factory Manager jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Factory Manager jobs? Cities near Silver Spring, MD with the most Factory Manager job openings:
Factory Manager jobs near you
Infographic showing various Factory Manager job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $76,046 per year, or $36.6 per hour.

Product Manager, AI/ML & Foundation Models (R4991)

Shield AI

Washington, DC • On-site

Full-time

Re-posted 5 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
 
The Product Manager will drive the strategy and execution of Shield AI's next-generation autonomy intelligence stack-enabling customers and internal teams to train, evaluate, and deploy foundation and domain models that power resilient autonomy at the edge. This PM owns the product vision and roadmap for the Hivemind AI Platform (Forge, training pipelines, data infrastructure, evaluation, and deployment toolchains), ensuring we can manufacture, govern, and field advanced world models, robotics foundation models, and vision-language-action systems safely and at scale. 
 
This role sits at the intersection of AI/ML, autonomy, model lifecycle, infrastructure, and product strategy. The PM partners closely with engineering, AI research, Hivemind Solutions, and field teams to deliver the tooling that enables sovereign autonomy, AI Factories at the edge, and continuous learning-capabilities that are central to Shield AI's strategic direction. 
 
This is a high-impact role for an experienced product leader excited to define how foundation models are trained, validated, governed, and deployed across thousands of autonomous systems in highly contested environments.
What you'll do:
  • AI Model Development & Training Platform
  • Own the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines.
  • Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization.
  • Lead the evolution of MLOps capabilities in Forge, including data lineage, experiment tracking, model versioning, and scalable evaluation suites.
  • Data, Simulation & Synthetic Data Factory
  • Define product requirements for synthetic data generation, simulation-integrated data flywheels, and automated scenario generation.
  • Partner with Digital Twin, Simulation, and autonomy teams to convert natural-language mission inputs into data needs, training procedures, and model variants.
  • Safe Deployment & Model Governance
  • Lead the development of model governance and auditability tooling, including model cards, dataset rights, lineage tracking, safety gates, and compliance evidence.
  • Build guardrails and workflows to safely deploy models onto edge hardware in disconnected, GPS- or comms-denied environments.
  • Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements.
  • Edge Deployment & AI Factory Integration
  • Partner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors.
  • Define requirements for distillation, quantization, and inference tooling as part of the "three-computer" development and deployment model.
  • Ensure closed-loop workflows between cloud model training and edge-native execution.
  • Cross-Functional Leadership
  • Collaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints.
  • Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories.
  • Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams.
  • User & Customer Impact
  • Develop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform.
  • Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements.
  • Lead demos and onboarding for model-development capabilities across internal and external teams.
Required qualifications:
  • 7+ years of experience in product management or highly technical ML/AI product roles.
  • 2+ years of experience in a hands-on software development role.
  • Strong engineering background (Computer Science, Electrical Engineering, Robotics, or related field).
  • Deep understanding of foundation models, robotics models, multimodal models, MLOps, and training infrastructure.
  • Experience managing complex products spanning data pipelines, cloud training clusters, model governance, and edge deployments.
  • Proven success partnering with research teams to transition ML innovations into stable, production-grade workflows.
  • Familiarity with simulation-based data generation and large-scale data management.
  • Excellent communicator with strong cross-functional leadership skills.
Preferred qualifications:
  • Experience working on autonomy, robotics, embedded AI, or mission-critical systems.
  • Hands-on familiarity with GPU infrastructure, distributed training, or data lakehouse architectures.
  • Experience supporting defense, dual-use, or safety-critical AI systems.
  • Background designing or operating AI Factory-style pipelines (data training evaluation distillation edge deployment).
  • Advanced degree in engineering, ML/AI, robotics, or a related field.
$190,000 - $290,000 a year
#LI-DM2
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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