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Automation Engineering Manager Jobs in Paramount, CA

ICANN

Manager, Engineering Operations

Los Angeles, CA · On-site

This role does not manage infrastructure operations but focuses on improving the systems and ... Engineering Automation and AI Enablement * Identify opportunities to leverage AI, automation, and ...

Northwood

Security Engineering Manager

Torrance, CA · On-site

$150 - $230/hr

Integrate security tooling with broader infrastructure through APIs and automation, reducing manual ... management, and product engineering teams. * Contribute to security architecture reviews and ...

Boeing

Systems Engineering Manager

El Segundo, CA · On-site

$141K - $204K/yr

Systems Engineering Manager Company: The Boeing Company Boeing Space Mission Systems (SMS ... Support modernization and automation of heritage mission integration and test processes and ...

Boeing

Systems Engineering Manager

Seal Beach, CA · On-site

$141K - $204K/yr

Systems Engineering Manager Company: The Boeing Company Boeing Space Mission Systems (SMS ... Support modernization and automation of heritage mission integration and test processes and ...

Boeing

Systems Engineering Manager

Seal Beach, CA · On-site

$141K - $204K/yr

Systems Engineering Manager Company: The Boeing Company Boeing Space Mission Systems (SMS ... Support modernization and automation of heritage mission integration and test processes and ...

Boeing

Systems Engineering Manager

El Segundo, CA · On-site

$141K - $204K/yr

Systems Engineering Manager Company: The Boeing Company Boeing Space Mission Systems (SMS ... Support modernization and automation of heritage mission integration and test processes and ...

Boeing

Systems Engineering Manager

Seal Beach, CA · On-site

$141K - $204K/yr

Systems Engineering Manager Company: The Boeing Company Boeing Space Mission Systems (SMS ... Support modernization and automation of heritage mission integration and test processes and ...

Socket.dev

Senior Automation Developer

Santa Ana, CA · On-site

$146 - $183/hr

... , HR, and other SaaS platforms). * Implements robust error handling, retries, logging, and ... Engineering Excellence & Governance * Owns the full automation lifecycle: discovery, design ...

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Automation Engineering Manager information

See Paramount, CA salary details

$94.8K

$145.5K

$182.8K

How much do automation engineering manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for automation engineering manager in Paramount, CA is $145,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,800.00 and $168,600.00 per year, depending on experience, location, and employer.

What does an automation engineering manager do?

An Automation Engineering Manager oversees the design, implementation, and optimization of automated systems in manufacturing or software development. They lead a team of engineers to improve efficiency, reduce costs, and enhance productivity through automation technologies. Responsibilities include project management, system integration, troubleshooting, and ensuring compliance with industry standards. They collaborate with other departments to align automation strategies with company goals. Strong technical expertise, leadership skills, and problem-solving abilities are essential for this role.

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

An Automation Engineering Manager should have a strong background in automation technologies, process improvement, project management, and a relevant engineering degree. Familiarity with PLC/SCADA systems, robotics, industrial control systems, and certifications such as PMP or Six Sigma is often required. Excellent leadership, problem-solving, and communication skills help drive team performance and foster cross-functional collaboration. These capabilities are essential for delivering efficient automation solutions, ensuring project success, and guiding multidisciplinary teams in fast-paced environments.

What are some typical challenges faced by automation engineering managers in their day-to-day work?

Automation Engineering Managers often balance multiple projects and deadlines while ensuring high quality and compliance with industry standards. A common challenge is integrating new automation technologies with existing systems, which requires careful planning and troubleshooting. Collaboration with cross-functional teams—including operations, IT, and maintenance—is crucial for aligning technical solutions with business goals. Additionally, staying current with emerging automation trends and training team members on new tools is a key part of the role, helping drive continuous improvement and operational efficiency.

What job categories do people searching Automation Engineering Manager jobs in Paramount, CA look for?

The top searched job categories for Automation Engineering Manager jobs in Paramount, CA are:

What cities near Paramount, CA are hiring for Automation Engineering Manager jobs?

Cities near Paramount, CA with the most Automation Engineering Manager job openings:

Automation Engineering Manager jobs near you

Manager, Engineering Operations

ICANN

Los Angeles, CA • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
The Engineering Operations (EngOps) Lead is responsible for improving the effectiveness and reliability of the software development lifecycle across engineering teams. The role focuses on engineering productivity, delivery processes, release management, and operational discipline across the engineering organization.
The role also evaluates and enables AI-assisted engineering capabilities that improve developer productivity, software quality, testing efficiency, release reliability, and overall engineering effectiveness.
Working closely with engineering leadership, platform engineering, and product management, the EngOps Lead establishes frameworks, tooling, and practices that enable engineering teams to deliver software consistently, with high quality and operational reliability.
This role does not manage infrastructure operations but focuses on improving the systems and processes through which engineering teams build, test, release, and operate software.
Key Responsibilities & Duties:
Engineering Delivery Framework
  • Establish and maintain standardized software delivery practices across engineering teams.
  • Define engineering lifecycle processes including planning, development, testing, release, and operational handoff.
  • Improve engineering predictability through consistent delivery practices and release governance.
Developer Productivity
  • Identify opportunities to improve developer productivity and engineering workflow efficiency.
  • Define engineering lifecycle processes including planning, development, testing, release, and operational handoff.
  • Evaluate and implement AI-enabled developer tools and engineering automation capabilities that improve coding efficiency, knowledge sharing, troubleshooting, and software delivery performance.
  • Establish standards and best practices for responsible use of AI-assisted development tools within the software engineering lifecycle.
  • Reduce friction in the development lifecycle by improving tooling, documentation, and internal engineering services.
Engineering Automation and AI Enablement
  • Identify opportunities to leverage AI, automation, and intelligent tooling to improve software development workflows.
  • Evaluate AI-assisted coding, testing, documentation, code review, and operational support capabilities.
  • Partner with engineering leadership to establish standards, governance, and adoption practices for AI-enabled engineering tools.
  • Measure the impact of AI-assisted development practices on productivity, software quality, and delivery performance.
  • Ensure AI-enabled engineering capabilities align with organizational security, compliance, and architecture requirements.
Release and Change Management
  • Establish release coordination practices for engineering services and platforms.
  • Improve release reliability through automated testing, deployment practices, and release governance.
  • Partner with Service Operations to align engineering release processes with enterprise change management.
Engineering Metrics and Performance
  • Define and track engineering delivery metrics such as:
    • deployment frequency
    • lead time for changes
    • change failure rate
    • mean time to recovery
  • Provide visibility into engineering performance and delivery health through dashboards and reporting.
  • Measure and report on the effectiveness of engineering automation and AI-assisted development capabilities.
Engineering Process Improvement
  • Identify systemic inefficiencies in engineering workflows and implement improvements.
  • Drive adoption of engineering best practices including version control standards, testing strategies, and deployment practices.
  • Support continuous improvement across the engineering organization.
Collaboration Across Technology Functions
  • Partner with Product Management to support predictable delivery of product roadmaps.
  • Work with Platform Engineering to improve build systems, developer tooling, and automation frameworks.
  • Partner with Enterprise Architecture, Product Management, and Security teams to evaluate and operationalize AI-enabled engineering capabilities.
  • Coordinate with Infrastructure and Service Operations to ensure engineering releases integrate smoothly into operational environments.

Required Knowledge, Skills, and Abilities:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 10 + years of experience in software engineering, developer platforms, or engineering operations roles.
  • Strong understanding of modern software development practices including CI/CD, automated testing, and DevOps methodologies.
  • Understanding of AI-assisted software development tools, intelligent automation, and emerging engineering productivity technologies.
  • Experience evaluating and implementing developer productivity platforms, engineering automation solutions, or AI-enabled development workflows.
  • Experience improving software delivery processes across multiple engineering teams.
  • Familiarity with modern development tools, version control systems, and release automation platforms.
Preferred Qualifications:
  • Experience operating within large-scale distributed engineering organizations.
  • Familiarity with DevOps, SRE, and modern software delivery practices.
  • Experience implementing AI-assisted coding, testing, documentation, or software delivery platforms.
  • Familiarity with emerging AI technologies supporting software engineering and developer productivity.
  • Experience implementing engineering metrics and delivery performance frameworks.
  • Knowledge of cloud-native development environments and distributed system operations.

Key Competencies:
  • Systems thinking and process design
  • Strong collaboration with engineering teams
  • Data-driven improvement of engineering delivery
  • Ability to balance operational discipline with engineering agility

Targeted Base Salary Low:
$124,000.00 + 20% Bonus + Benefits
Targeted Base Salary High:
$165,000.00 + 20% Bonus + Benefits
Note: The salary range provided here is a general estimation for the position at the time of posting based on the primary location. Salary ranges vary based upon geographic regions and countries. Final compensation packages take into consideration of a variety of factors including but not limited to a candidate's location, work experience, knowledge, skills and other compensable factors.

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