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Engineer Manager Jobs in Gaithersburg, MD (NOW HIRING)

Pwc

ERP AI Engineer - Manager

Washington, DC

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Pwc

Tax Innovation - AI Engineer - Manager

Washington, DC · On-site

$99K - $266K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Tax Innovation - Artificial Intelligence Engineer, you will lead the design ...

Hazen and Sawyer

Senior Electrical Engineer

Fairfax, VA · On-site

$110K - $143K/yr

Senior Electrical Project Engineer/Manager Hazen & Sawyer is seeking a Senior Electrical Project Engineer/Manager for our Fairfax, VA office. Candidate will provide electrical engineering and design ...

Hazen and Sawyer

Senior Electrical Engineer

Fairfax, VA · On-site

$110K - $143K/yr

Senior Electrical Project Engineer/Manager Hazen & Sawyer is seeking a Senior Electrical Project Engineer/Manager for our Fairfax, VA office. Candidate will provide electrical engineering and design ...

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Showing results 21-40

All JobsEngineer JobsEngineer Manager JobsEngineer Manager Jobs in Gaithersburg, MD

Engineer Manager information

See Gaithersburg, MD salary details

$50.2K

$158.7K

$188K

How much do engineer manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for engineer manager in Gaithersburg, MD is $158,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,900.00 and $186,900.00 per year, depending on experience, location, and employer.

What is an engineering manager?

An Engineering Manager is a professional who oversees engineering teams, guiding them to achieve project goals and company objectives. They are responsible for managing people, processes, and resources, ensuring that engineering projects are completed on time and within budget. Engineering Managers also collaborate with other departments, mentor team members, and help develop technical strategies. Their role bridges the gap between technical engineering tasks and organizational leadership.

How does an engineer manager typically support professional development within their team?

Engineer Managers play a key role in fostering the growth of their team members by providing regular feedback, identifying learning opportunities, and encouraging participation in training or mentorship programs. They often help engineers set clear career goals, guide them through skill development, and advocate for their advancement within the organization. By promoting a culture of continuous improvement and collaboration, Engineer Managers help team members stay motivated and aligned with both personal and company objectives.

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

To excel as an Engineering Manager, you need a strong technical background in engineering principles, project management experience, and often a relevant degree such as in engineering or computer science. Familiarity with project management tools (like Jira or Asana), version control systems (such as Git), and possibly certifications like PMP or Agile Scrum Master are typically required. Exceptional leadership, communication, and conflict-resolution skills help you motivate teams and manage stakeholders effectively. These competencies are crucial for delivering successful projects, fostering a productive team environment, and driving organizational goals.

What is the difference between Engineer Manager vs Software Engineer?

AspectEngineer ManagerSoftware Engineer
CredentialsBachelor's or higher in engineering or related field, often with leadership experienceBachelor's or higher in computer science, software engineering, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops software, writes code, tests applications
Employer & Industry UsageTech companies, engineering firms, startupsTech companies, software firms, IT departments

Engineer Managers oversee engineering teams, manage projects, and coordinate resources, while Software Engineers focus on designing, coding, and testing software. Both roles require technical skills, but Engineer Managers also handle leadership and strategic planning.

Are engineering managers paid well?

Engineering managers typically earn high salaries due to their leadership responsibilities, technical expertise, and experience level. Compensation varies by industry, location, and company size but generally includes base pay, bonuses, and stock options, reflecting the seniority of the role.

How much do you make as an engineering manager?

Engineering managers typically earn a median annual salary ranging from $120,000 to $180,000, depending on experience, industry, and location. They often oversee engineering teams, manage projects, and require strong leadership and technical skills, with some roles offering additional bonuses or stock options.

What are the most commonly searched types of Engineer jobs in Gaithersburg, MD?

The most popular types of Engineer jobs in Gaithersburg, MD are:

What are popular job titles related to Engineer Manager jobs in Gaithersburg, MD?

For Engineer Manager jobs in Gaithersburg, MD, the most frequently searched job titles are:

What job categories do people searching Engineer Manager jobs in Gaithersburg, MD look for?

The top searched job categories for Engineer Manager jobs in Gaithersburg, MD are:

What cities near Gaithersburg, MD are hiring for Engineer Manager jobs?

Cities near Gaithersburg, MD with the most Engineer Manager job openings:

Engineer Manager jobs near you
Infographic showing various Engineer Manager job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $158,684 per year, or $76.3 per hour.

AI/ML Engineer Manager (WDP)

Bespoke Technologies, Inc.

Herndon, VA • On-site

$180 - $240/hr

Other

Posted 17 days ago

Job description

BT-160 - AI/ML Engineer Manager (WDP)

Location: Chantilly/Herndon

**MUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.** Role Description:

As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning. Your mission is to build and manage a centralized platform that provides access to pre-trained and custom-built AI/ML models, simplifying their integration and accelerating the delivery of AI-powered capabilities across the enterprise. This is a strategic, hands-on leadership role where you will define the vision for our MaaS offerings and oversee the entire lifecycle of model development, deployment, and operations.

Responsibilities:
  • Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers.
  • Define and execute the technical strategy for the MaaS platform, including the frameworks for model training, versioning, deployment, and monitoring.
  • Oversee the design, development, and deployment of a diverse portfolio of machine learning models to solve complex challenges.
  • Establish and enforce robust MLOps practices to ensure automated, reliable, and scalable CI/CD pipelines for machine learning models.
  • Architect the service layer for the MaaS platform, ensuring models are exposed via secure, scalable, and well-documented APIs.
  • Collaborate with data scientists, data engineers, and stakeholders to identify use cases and translate requirements into production-ready models.
  • Implement governance, security, and ethical AI standards across the entire model lifecycle.
  • Manage project timelines, resource allocation, and stakeholder communication for all MaaS initiatives.
Required Qualifications:
  • 8+ years of experience in data science or machine learning engineering, with at least 3 years in a technical leadership or management role.
  • Deep expertise in developing and deploying ML models using common frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP).
  • Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML).
  • Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD tools.
  • Excellent programming skills in Python and familiarity with software engineering best practices.
  • Active Top Secret/SCI security clearance.
Preferred Qualifications:
  • Direct experience building a Model-as-a-Service or Machine-Learning-as-a-Service platform.
  • Experience with ML platforms like Databricks or AWS SageMaker AI.
  • Familiarity with Infrastructure-as-Code (IaC) tools like Terraform.
  • Experience working in a high-security environment.
  • Demonstrated success leading teams that deliver complex, data-driven software projects.
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