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Engineering Manager Jobs in Romeoville, IL (NOW HIRING)

This manager leads engineering teams focused on building and delivering AI capabilities that power intelligent, connected home experiences for our customers. This is a US-based leadership role ...

About the Position The Enterprise Engineering Manager (EEM) is a strategic leader responsible for driving growth, operational excellence, and customer success across Pregis' largest Enterprise ...

Engineering Manager, Email

Chicago, IL · Hybrid

$160K - $282K/yr

WHAT YOU'LL DO We're looking for an Engineering Manager to lead our Email team, which is responsible for building and maintaining the core infrastructure that delivers billions of personalized emails ...

Software Engineering Manager

Chicago, IL · Remote

$140K - $227K/yr

Our business is complex and we're looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team's/tech stack's health, and ...

Software Engineering Manager

Chicago, IL · Remote

$140K - $227K/yr

Our business is complex and we're looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team's/tech stack's health, and ...

Engineering Manager (Product)

Chicago, IL · On-site

$172K - $178K/yr

As an Engineering Manager, your leadership will be critical in revamping our client's existing software experience and helping build their future from the ground up using modern technologies and ...

Engineering Manager, Email

Chicago, IL · On-site

$160K - $282K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

WHAT YOU'LL DO We're looking for an Engineering Manager to lead our Email team, which is responsible for building and maintaining the core infrastructure that delivers billions of personalized emails ...

Engineering Manager, Email

Chicago, IL · On-site

$160K - $282K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

WHAT YOU'LL DO We're looking for an Engineering Manager to lead our Email team, which is responsible for building and maintaining the core infrastructure that delivers billions of personalized emails ...

Physical Security Engineering Manager

Lombard, IL · On-site

$90K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Engineering Manager leads pre and postfield support engineering teams across system design, project delivery, and operational support. Serving as the primary customer-facing technical escalation ...

Electrical Engineering Manager

Chicago, IL · On-site

$145K - $222K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position will offer you the opportunity manage an electrical engineering team and to work as a lead electrical engineer in a project team environment involved in the design, modification, and ...

Electrical Engineering Manager

Chicago, IL · On-site

$145.31 - $222/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position will offer you the opportunity manage an electrical engineering team and to work as a lead electrical engineer in a project team environment involved in the design, modification, and ...

Showing results 41-60

Engineering Manager information

See Romeoville, IL salary details

$47.4K

$149.7K

$177.4K

How much do engineering manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for engineering manager in Romeoville, IL is $149,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $176,400.00 per year, depending on experience, location, and employer.

What is an engineering manager?

Engineering Managers are professionals responsible for leading and overseeing engineering teams within an organization. They coordinate projects, manage team members, allocate resources, and ensure that engineering goals align with company objectives. Their role often involves a combination of technical expertise, leadership, and administrative skills to deliver successful engineering solutions on time and within budget.

What are the key skills and qualifications needed to thrive as an engineering manager?

To thrive as an Engineering Manager, you need a strong background in engineering principles, project management, and leadership, typically with a degree in engineering and prior technical experience. Familiarity with project management tools (such as Jira or Asana), version control systems (like Git), and potentially certifications such as PMP or Scrum Master are highly beneficial. Exceptional communication, conflict resolution, and team-building skills distinguish top performers in this role. These abilities are crucial for successfully leading technical teams, delivering projects on time, and aligning engineering output with organizational goals.

How does an engineering manager typically balance technical leadership with people management responsibilities?

Engineering Managers are often required to split their time between technical oversight—such as code reviews, architecture decisions, and project planning—and people management tasks like mentoring, performance reviews, and team development. Striking this balance can be challenging, especially in fast-paced environments. Successful Engineering Managers usually prioritize regular one-on-ones, foster open communication, and delegate technical tasks wisely to ensure both project goals and team morale are maintained. This dual focus helps nurture a high-performing, collaborative team while ensuring technical excellence.

What is the difference between Engineering Manager vs Software Development Manager?

AspectEngineering ManagerSoftware Development Manager
Primary FocusOversees engineering teams, technical projects, and product developmentManages software development teams, project timelines, and coding processes
Required CredentialsBachelor's or master's in engineering, computer science, or related field; technical expertiseBachelor's or master's in computer science, software engineering, or related field; strong coding background
Work EnvironmentEngineering departments, cross-disciplinary teams, technical environmentsSoftware development teams, Agile/Scrum environments, coding-focused settings
Industry UsageCommon in tech, manufacturing, and engineering firmsPrimarily in tech companies, software firms, and IT services

While both roles involve managing technical teams, Engineering Managers typically oversee broader engineering projects and cross-disciplinary teams, whereas Software Development Managers focus specifically on software projects and coding teams. Understanding these distinctions helps in choosing the right career path or job search focus.

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.

What do you do as an engineering manager?

An engineering manager oversees engineering teams, coordinates project planning, and ensures technical goals are met. They manage resources, facilitate communication between teams and stakeholders, and often have technical expertise to guide development processes. Leadership, problem-solving, and knowledge of engineering tools are essential skills in this role.

What are the most commonly searched types of Engineering jobs in Romeoville, IL?

The most popular types of Engineering jobs in Romeoville, IL are:

What job categories do people searching Engineering Manager jobs in Romeoville, IL look for?

The top searched job categories for Engineering Manager jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Engineering Manager jobs?

Cities near Romeoville, IL with the most Engineering Manager job openings:

Infographic showing various Engineering Manager job openings in Romeoville, IL as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $149,748 per year, or $72 per hour.

AI Engineering Manager

Chamberlain Group

Oak Brook, IL • On-site

Full-time

Retirement

Re-posted 21 days ago


Job description

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
This role is within Chamberlain Group's Engineering Function. This manager leads engineering teams focused on building and delivering AI capabilities that power intelligent, connected home experiences for our customers. This is a US-based leadership role managing a distributed engineering team.
Engineering teams in this role are responsible for the real-time data serving infrastructure that powers personalized, low-latency experiences; the agentic interface and LLM orchestration layer that enables intelligent interactions with customers; and the machine learning models that detect anomalies and surface insights to keep customers informed and in control of their connected home.
This role will work with cross-functional teams across architecture, product, AI/ML ops, and the Video Intelligence team. Success in this role is to deliver and maintain the platform as a unified source of truth to deliver intelligent, personalized experiences to customers.
This is a senior software engineering leadership role - strong programming fundamentals and hands-on fluency with real-time serving, LLM systems, and ML pipelines are required.
Job Responsibilities:
  • Own end-to-end engineering delivery of the real-time data serving infrastructure, including data serving layers, search indexes, and online feature delivery
  • Drive engineering reliability and scalability of the real-time model serving infrastructure
  • Lead engineering delivery of the agentic interface end-to-end
  • Own LLM orchestration architecture for dialogue management, context handling, and session continuity
  • Own customer insight modeling pipeline and ensure high accuracy
  • Lead machine learning pipeline engineering that surfaces insights about connected home usage patterns
  • Manage sprint-cadence delivery across engineering teams with clear ownership, unblocking, and accountability
  • Work closely with cross-functional teams across architecture, product, AI/ML ops, and the Video Intelligence team to manage feature and data dependencies
  • Drive observability standards: APM span hierarchy, cost monitoring, escalation rate tracking, and alert thresholds
  • Lead drift detection, confidence scoring pipeline monitoring, and production rollback readiness
  • Prepare and deliver team health updates and milestone reviews to leadership
  • Operate fluidly as a first-line or second-line manager depending on project needs - directly managing engineers when hands-on delivery leadership is required, and leading through senior engineers who manage their own teams in steadier execution phases
  • Develop and grow Senior Engineers into technical leads who can carry day-to-day team ownership, while maintaining direct coaching relationships across the full team
  • Lead hiring and onboarding of engineers
  • Build a high-trust, high-velocity team culture
  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams
  • Protect Chamberlain Group's reputation by keeping information confidential
  • Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies
  • Contribute to the team effort by accomplishing related results and participating on projects as needed

Job Requirements:
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
  • 7+ years of software engineering experience, including 3+ years in an engineering leadership or management role
  • Demonstrated ownership of real-time serving infrastructure and machine learning pipelines at production scale: low-latency APIs, feature stores, embedding indexes, model serving, or online scoring layers
  • Experience building or leading LLM-powered or agentic systems: conversational AI, LLM orchestration, retrieval-augmented generation (RAG), or dialogue management
  • Experience with ML behavioral modeling, anomaly detection, or time-series analysis
  • Experience managing distributed engineering teams spanning geographies and employment models
  • Proven track record delivering production APIs with strict SLA requirements (uptime and observability standards).

Knowledge, Skills, and Abilities:
  • Strong software engineering fundamentals: production-quality Python, system design, code review practices, and automated testing - this is not a configuration or no-code role
  • Deep understanding of real-time serving architecture: API gateway patterns, vector search, and feature store read paths
  • Working knowledge of LLM orchestration frameworks (LangChain or equivalent), retrieval-augmented generation (RAG) pipelines, prompt engineering, and AI agent workflow design
  • Familiarity with ML anomaly detection techniques: behavioral baselines, scoring pipelines, false-positive management
  • Experience with production observability tooling (Datadog APM or equivalent): span tracing, cost monitoring, alert threshold management
  • Strong communication and stakeholder management skills - comfortable bridging distributed engineering execution with product and AI leadership
  • Able to operate with autonomy in a fast-moving environment; capable of defining process where none yet exists

Other:
  • Ability to travel up to 10% of the time domestically and internationally

Preferred Job Requirements:
  • Master's degree in Computer Science, Computer Engineering, or related field
  • AWS Certified Machine Learning Specialty or equivalent cloud ML certification
  • Experience in IoT, smart home, or consumer device ecosystems where AI operates at or near the edge
  • Background in occupancy modeling, event-sequence pipelines, or behavioral data for connected devices
  • Prior experience building or scaling a real-time decisioning layer that interfaces between a data platform and user-facing product surfaces

Knowledge, Skills, and Abilities:
  • Familiarity with OpenSearch, pgvector, or equivalent embedding index infrastructure
  • Understanding of A/B experimentation infrastructure and feature flag-driven rollout strategies
  • Experience with ArgoCD, CI/CD pipelines, and gradual traffic ramp strategies for ML model deployments
The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.
Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We're committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.