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Software Engineer Manager Jobs in Sheboygan, WI (NOW HIRING)

Staff Engineer - Embedded Software

Kohler, WI · Hybrid

$133K - $176K/yr

... and management, and clean energy solutions that serve a broad spectrum of OEM, residential ... This role involves working closely with hardware engineers, software engineers, and product teams ...

Staff Engineer - Embedded Software

Kohler, WI · On-site

$133K - $176K/yr

... and management, and clean energy solutions that serve a broad spectrum of OEM, residential ... This role involves working closely with hardware engineers, software engineers, and product teams ...

Senior Electrical Engineer

Kohler, WI · Hybrid

$109K - $142K/yr

Bachelor's of Science in Computer Science/ Electrical Engineering/Mechanical Engineering with an ... application software development, management and implementation. * Four or more years MatLab ...

New

The R&D Engineering Manager is a highly visible and dynamic leader who evaluates, initiates, and ... Knowledge and use of SolidEdge software. Physical Requirements: * Safety glasses and hearing ...

Reporting to the Sr. Manager of Engineering, this position is located in Manitowoc, WI, on the ... Utilize CAD software to design components and systems to implement solutions. * Prepare concept ...

Reporting to the Sr. Manager of Engineering, this position is located in Manitowoc, WI, on the ... Utilize CAD software to design components and systems to implement solutions. * Prepare concept ...

Hardware Engineer

Sheboygan, WI · On-site

$125K - $165K/yr

You will work closely with hardware engineers, software engineers, and product teams to deliver ... Support compliance-oriented design work, including sensing and control, while managing sustaining ...

This position partners with software engineers, DevOps teams, and security professionals to embed ... Integrate and manage security tooling within CI/CD pipelines, including SAST, DAST, SCA, IaC ...

Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier ... Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a ...

Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier ... Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a ...

Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier ... Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a ...

Manage the entire content development lifecycle and deadlines. * Source and recruit top-tier ... Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a ...

Familiarity with ASPICE or comparable automotive software and systems process standards. * 10+ years of program management experience, preferably in an engineering or technical environment.

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Showing results 1-20

Software Engineer Manager information

See Sheboygan, WI salary details

$99.2K

$168.8K

$199.8K

How much do software engineer manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for software engineer manager in Sheboygan, WI is $168,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $172,400.00 and $172,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by software engineer managers when transitioning from an individual contributor role?

Software Engineer Managers often find the shift from coding-focused work to leadership responsibilities challenging. Instead of primarily writing code, their days are filled with mentoring team members, managing project timelines, and facilitating communication between technical and non-technical stakeholders. Balancing technical oversight with people management, and learning to delegate effectively, are critical skills to develop. Additionally, they must stay current with technology trends while focusing on team growth and performance.

What is the difference between Software Engineer Manager vs Software Developer?

AspectSoftware Engineer ManagerSoftware Developer
CredentialsBachelor's or higher in CS or related field; often leadership experienceBachelor's degree in CS or related field; coding skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, designing, and implementing software solutions
Industry UsageCommon in tech companies, startups, large enterprisesWidespread across industries, including tech, finance, healthcare
Search & Comparison IntentUnderstanding managerial roles, career progressionTechnical skills, coding responsibilities

The main difference between a Software Engineer Manager and a Software Developer lies in their responsibilities. The manager oversees teams, manages projects, and aligns technical work with business goals, while the developer primarily focuses on coding and building software solutions. Both roles require strong technical skills, but the manager also needs leadership and project management abilities.

What is a software engineer manager?

A Software Engineer Manager is a professional who leads a team of software engineers, overseeing the design, development, and deployment of software projects. They are responsible for managing team performance, setting goals, and ensuring that projects are completed on time and within budget. In addition to technical expertise, they also handle hiring, mentoring, and career development of team members. Software Engineer Managers often collaborate with other departments to align technical solutions with business objectives. Their role combines leadership, project management, and deep technical knowledge.

What are the key skills and qualifications needed to thrive as a software engineer manager?

To thrive as a Software Engineer Manager, you need a solid background in software development, team leadership experience, and often a degree in computer science or a related field. Familiarity with project management tools (like Jira), version control systems (such as Git), and cloud platforms (e.g., AWS, Azure) is typically required, along with relevant certifications. Exceptional communication, problem-solving, and mentoring abilities help you build effective teams and drive project success. These skills ensure you can lead technical initiatives, foster collaboration, and deliver high-quality software solutions in dynamic environments.

What are the most commonly searched types of Software Engineer jobs in Sheboygan, WI?

The most popular types of Software Engineer jobs in Sheboygan, WI are:

What cities near Sheboygan, WI are hiring for Software Engineer Manager jobs?

Cities near Sheboygan, WI with the most Software Engineer Manager job openings:

Infographic showing various Software Engineer Manager job openings in Sheboygan, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $168,802 per year, or $81.2 per hour.

Senior Software Engineer - Generative AI

Acuity Insurance

Sheboygan, WI

$132K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.
 
Acuity will include at least one in-person interview during the hiring process for all positions.
 
ESSENTIAL FUNCTIONS:
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.

EDUCATION:

Bachelor’s degree or equivalent combination of education and experience in software engineering, computer science, or related field.

EXPERIENCE:

A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.

    OTHER QUALIFICATIONS: 

    • Expertise across a wide range of tools and technologies, including.
      • Programming languages such as Java, Python, and JavaScript.
      • Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
      • Familiarity with web UI frameworks such as Vue, React, or Angular.
      • Knowledge of software development workflows, CI/CD pipelines and version control tools.
      • AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
      • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
      • Familiarity with AI Observability tools to monitor and debug AI responses.
      • Understanding API Management, including rate limiting, latency, and token cost optimization.
      • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
    • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
    • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
    • Strong communication skills and ability to work with cross functional teams.
    • Excellence in documentation, testing practices, and operational reliability.
    • Ability to stay current with AI advancements, LLM research, and evolving best practices.
    • Passion for building reliable, safe, and impactful Generative AI systems.

        *Acuity does not sponsor applicants for U.S. work authorization.*

        This job is classified as exempt.

        The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicant’s education, experience, knowledge, skills, and abilities.

        For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process. 

        We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved. 

        Acuity will include at least one in-person interview during the hiring process for all positions. 

        If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.