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Engineering Manager Jobs in Seneca, SC (NOW HIRING)

Manufacturing Engineer

Liberty, SC · On-site

$63K - $82K/yr

Manufacturing Engineering Manager Shift/Schedule: Office Hours SUMMARY OF POSITION This position is responsible for the application of engineering principles and analytical techniques to establish ...

MV Manager Product Development

Anderson, SC · On-site

$104K - $130K/yr

Reporting to the Senior R&D Engineering Manager, this role leads Mechanical Engineers, Electrical Engineers and Test teams to ensure clear product specifications, strong technical direction, and ...

Project Engineer

Easley, SC · On-site

$70 - $90/hr

This position reports to the Manufacturing Engineering Manager. What You'll Be Doing * Production Support & Process Improvement: * Provide daily troubleshooting and support to the shop floor, using ...

Electrical Engineering Manager Direct Reports: None Position Summary Vertiv is seeking a Project Engineer to support high-impact data center projects with a focus on low-voltage (LV) power ...

Electrical Engineering Manager Direct Reports: None Position Summary Vertiv is seeking a Project Engineer to support high-impact data center projects with a focus on low-voltage (LV) power ...

CAD Drafter

Easley, SC · On-site

$56K - $67K/yr

Engineering Manager Location: Greenville, SC The CAD Drafter supports the Design Engineering team by converting engineering concepts, marked-up drawings, sketches, and established designs into ...

Responsibilities Reporting to the Engineering Manager, the ideal candidate's roles and responsibilities will include the following tasks as well as other pertinent tasks as assigned by Organization ...

Process Engineer

Liberty, SC · On-site

$80K - $110K/yr

Process Engineering Manager Position Overview Knowles, Cornell Dubilier is seeking a Senior Process Engineer to lead the development, optimization, and control of high reliability capacitor ...

Responsibilities Reporting to the Engineering Manager, the ideal candidate's roles and responsibilities will include the following tasks as well as other pertinent tasks as assigned by Organization ...

Mechanical Design Engineer

Anderson, SC

$69K - $94K/yr

Responsibilities Reporting to the Engineering Manager, the ideal candidate's roles and responsibilities will include the following tasks as well as other pertinent tasks as assigned by Organization ...

Mechanical Design Engineer

Anderson, SC · On-site

$69K - $94K/yr

Responsibilities Reporting to the Engineering Manager, the ideal candidate's roles and responsibilities will include the following tasks as well as other pertinent tasks as assigned by Organization ...

Showing results 21-40

Engineering Manager information

See Seneca, SC salary details

$44.3K

$139.8K

$165.6K

How much do engineering manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for engineering manager in Seneca, SC is $139,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $164,600.00 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 Seneca, SC?

The most popular types of Engineering jobs in Seneca, SC are:

What are popular job titles related to Engineering Manager jobs in Seneca, SC?

For Engineering Manager jobs in Seneca, SC, the most frequently searched job titles are:

What job categories do people searching Engineering Manager jobs in Seneca, SC look for?

The top searched job categories for Engineering Manager jobs in Seneca, SC are:

What cities near Seneca, SC are hiring for Engineering Manager jobs?

Cities near Seneca, SC with the most Engineering Manager job openings:

Infographic showing various Engineering Manager job openings in Seneca, SC as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $139,773 per year, or $67.2 per hour.

IT AI & Analytics Manager - Engineering

Techtronic Industries (TTI)

Anderson, SC • On-site

Full-time

Posted 10 days ago


Techtronic Industries TTI rating

8.3

Company rating: 8.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

119th of 499 rated machine equipment manufacturers


Job description

Job Description:
Information Technology: AI & Analytics Manager - Engineering
ABOUT TTI
Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY), professional and industrial users in the home improvement, repair, maintenance, construction, and infrastructure industries. The Company is committed to accelerating the transformation of these industries through superior environmentally friendly cordless technology. At TTI Anderson, our brands RYOBI and Ridgid are recognized worldwide for their deep heritage and cordless product platforms of superior quality, outstanding performance, safety, productivity, and compelling innovation.
JOB SUMMARY
The IT AI & Analytics Manager - Engineering identifies, prioritizes, and executes AI, analytics, and technology-enabled initiatives across North American Outdoor and CPT Engineering to create measurable business value. This role partners directly with Engineering, IT leadership, as well as functional stakeholders across all subfunctions within Engineering departments. The position combines engineering domain knowledge, technical curiosity, analytical problem solving, portfolio discipline, and strong communication skills to improve engineering productivity, product-development processes, testing, technical knowledge access, decision making, and operational performance. Solutions may leverage GitHub Copilot, Microsoft Copilot, AI agents, engineering software, automation and analytics tools, machine learning, or other appropriate technologies based on business needs, technical feasibility, and expected value.
RESPONSIBILITIES / SKILLS
  • Partners directly with Engineering leaders and functional stakeholders to identify, evaluate, prioritize, and execute AI and analytics opportunities that align to functional goals and measurable business outcomes. Please note that this is a business facing role.
  • Manages the Engineering AI and analytics portfolio, including intake, prioritization, roadmaps, delivery milestones, dependencies, execution status, and expected value.
  • Designs, prototypes, tests, deploys, or coordinates solutions using the tools most appropriate for the business problem, including but not limited to GitHub Copilot, Microsoft Copilot, Copilot Studio, generative AI, machine learning, function specific engineering software, analytics platforms, automation, and custom development.
  • Applies AI, machine learning, and analytics to engineering use cases such as predictive testing, anomaly detection, technical knowledge retrieval, design and test data analysis, process automation, and decision support.
  • Translates business problems into clear technical requirements by gathering stakeholder input, documenting use cases, defining success criteria, and clarifying expected business value.
  • Uses Python, SQL via various data platforms, analytics tools, or related technologies to access, transform, integrate, validate, and analyze data required for Engineering solutions.
  • Partners with Engineering software owners and subject-matter experts to understand existing platforms and determine whether opportunities should be addressed through current functionality, configuration, integration, automation, AI augmentation, or new development.
  • Identifies opportunities to reuse and scale solutions across Outdoor and CPT Engineering, reducing duplicated effort and improving the return on technology investments.
  • Collaborates with IT, data engineering, business optimization, Cybersecurity, governance, and functional stakeholders to ensure AI solutions are scalable, supportable, secure, and aligned to enterprise standards.
  • Tracks solution adoption, performance, costs, and realized business value.
  • Creates business cases that document expected benefits, implementation and ongoing costs, assumptions, affected users, success measures, risks, and ongoing support requirements.
  • Communicates project status, risks, requirements, demos, adoption expectations, and business impact clearly to technical and non-technical audiences, including leadership when needed.
  • Develops the documentation and enablement resources needed to support solution adoption.
  • Works both independently and as part of cross-functional teams to move AI initiatives from idea generation through execution while balancing multiple priorities.
  • Continuously evaluates developments in AI, analytics, software-development tools, and Engineering technologies and recommends practical applications based on organizational need and measurable value.
  • Performs other related duties as assigned.

This job description is intended to be illustrative of the position's duties and should not be construed to be an exhaustive statement of the essential functions of the job.
EXPECTED ALLOCATION OF TIME
  • Project Intake/Requirements/Design: 10%
  • AI Innovation Discovery: 10%
  • AI Development & Execution: 40%
  • Collaboration: 30%
  • Project & Portfolio/Roadmap Management: 10%

CRITICAL SUCCESS FACTORS
  • Engineering & Technology Leadership - Ability to understand engineering workflows, systems, data, software-development activities, testing environments, and operational challenges while identifying and applying the most appropriate combination of AI, machine learning, analytics, engineering software, automation, integration, or custom development to create measurable business value.
  • Problem Solving & Prioritization - Ability to evaluate ambiguous engineering challenges, balance competing priorities, assess technical feasibility and business impact, and make effective decisions that maximize organizational value and align with leadership objectives.
  • Stakeholder Engagement & Communication - Ability to build trusted relationships across Engineering, IT, and leadership teams while clearly communicating solution options, project status, risks, technical concepts, business value, and expected outcomes to both technical and non-technical audiences.
  • Portfolio & Solution Delivery - Ability to develop and manage an Engineering AI and analytics portfolio, prioritize initiatives based on business value, and lead solutions through the full lifecycle from opportunity identification and requirements through deployment, adoption, and value realization.
  • Technical Solution Development - Ability to prototype, configure, develop, test, troubleshoot, integrate, or technically direct solutions using AI, machine learning, predictive analytics, automation, data platforms, engineering technologies, and software-development tools to solve engineering business challenges.
  • Business Value Creation - ability to connect high-impact technology opportunities to measurable outcomes, including labor efficiency, shorter engineering cycles, faster analysis, reduced rework, improved testing productivity, better access to technical knowledge, cost avoidance, and better decision making.
  • Collaboration & Influence - Ability to work effectively as an individual contributor while coordinating cross-functional teams, aligning stakeholders, driving execution, and maintaining momentum without direct authority.

EDUCATION AND EXPERIENCE
  • Bachelor's degree in engineering, computer science, data science, information systems, analytics, or a related technical discipline is required.
  • Experience in applying engineering, analytical, technical, or process improvement methods to complex business or operational challenges is required.
  • Experience supporting product engineering, advanced engineering, laboratories, product testing, document control, software development, research and development, or related technical functions is preferred.
  • Experience applying AI, analytics, automation, software-development tools, or other technologies to improve engineering or technical processes.
  • Familiarity with GitHub Copilot, Microsoft Copilot, Copilot Studio, generative AI, AI agents, machine learning, predictive analytics, prompt engineering, knowledge retrieval, optimization, or automation concepts is preferred.
  • Familiarity with Power BI, including reports, dashboards, data models, measures, or related business intelligence concepts.
  • Experience with Snowflake or comparable data platforms, semantic models, APIs, system integration, workflow automation, or modern software development practices is preferred.
  • Experience taking technical initiatives from problem identification through requirements, prototype, testing, implementation, documentation, and adoption.
  • Ability to partner directly with Engineering stakeholders, gather requirements, clarify needs, and convert business problems into practical technical solutions.
  • Strong verbal and written communication skills with the ability to explain technical concepts and business value to Engineering, IT, and leadership audiences.
  • Ability to work independently and as an integral part of a cross-functional team.

OTHER REQUIREMENTS
  • Ability to travel (post-COVID) up to 10%. It is anticipated this position will travel 0-10%

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