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Software Development Manager Jobs in Cheyenne, WY

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Shop Manager

Cheyenne, WY · On-site

$55K/yr

Development: Learn new skills daily while building leadership and technical experience. * Community ... Basic computer literacy, including POS systems, MS Office, and inventory software. * Problem ...

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Software Development Manager information

See Cheyenne, WY salary details

$75.3K

$134.7K

$169.2K

How much do software development manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for software development manager in Cheyenne, WY is $134,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $154,500.00 per year, depending on experience, location, and employer.

What does a software development manager do?

As a software development manager, your primary responsibilities are to oversee software development teams and to act as a liaison between your teams and senior management. You hire and train new staff, manage and evaluate existing developers, provide guidance on the design and implementation of new software applications, and ensure that projects stay on schedule and within budget. You collaborate with upper-level management and your developers to make sure that new and existing software applications meet business objectives.

What does a software development manager do?

A Software Development Manager oversees teams of software engineers to ensure successful planning, development, and delivery of software projects. They coordinate project timelines, allocate resources, and facilitate communication between team members and stakeholders. Additionally, they mentor developers, set technical standards, and help align software initiatives with business objectives. Their role balances technical expertise with leadership and project management responsibilities.

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

To thrive as a Software Development Manager, you need a solid background in software engineering, leadership experience, and usually a degree in computer science or a related field. Familiarity with project management tools (like Jira or Trello), version control systems (such as Git), and sometimes certifications like PMP or Scrum Master are highly beneficial. Exceptional communication, problem-solving abilities, and the capacity to motivate and mentor teams are critical soft skills. These competencies ensure successful project delivery, foster team development, and align technical efforts with business goals.

How does a software development manager typically balance technical leadership with people management responsibilities?

As a Software Development Manager, you’ll find that balancing hands-on technical leadership with people management is a central part of the role. You’ll spend part of your time guiding architectural decisions and overseeing code quality, while also focusing on coaching, mentoring, and supporting your team’s professional growth. Effective delegation, setting clear priorities, and maintaining open communication with both developers and stakeholders are key to managing these dual responsibilities. Many managers also work closely with product managers, QA, and other departments to ensure alignment across projects.

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

AspectSoftware Development ManagerSoftware Engineer
ResponsibilitiesOversees development teams, manages projects, sets strategic goalsDesigns, codes, tests software applications
Required SkillsLeadership, project management, technical expertiseProgramming, problem-solving, technical skills
CredentialsBachelor's or higher in CS or related field, often with experience in managementBachelor's or higher in CS or related field
Work EnvironmentTeam management, collaboration with stakeholdersIndividual or team coding tasks, development environments

The main difference between a Software Development Manager and a Software Engineer lies in their focus and responsibilities. Managers oversee teams and projects, while engineers focus on designing and coding software. Both roles require technical skills, but managers also need leadership and project management abilities.

More about Software Development Manager jobs

What are the most commonly searched types of Software Development jobs in Cheyenne, WY?

The most popular types of Software Development jobs in Cheyenne, WY are:

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Cities near Cheyenne, WY with the most Software Development Manager job openings:

Software Development Manager jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Cheyenne, WY • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply