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Remote Software Engineering Manager Jobs in Shelton, CT

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VP/Director of Engineering (Remote)

Ridgefield, CT · On-site +1

$179K - $231K/yr

... software, analytics, and an exceptional retail network to deploy solutions that simplify the ... Managing off-site contractors; * Develop tools to improve our ability to rapidly deploy and ...

Generac

Power Solutions Manager

Shelton, CT · On-site +1

$131K - $196K/yr

Conducts training seminars for the electrical engineering community utilizing a pre-package ... Promotes and provides technical onsite and remote sales support of Generac Industrial products with ...

EMCOR Group, Inc.

AI Engineer

Norwalk, CT · On-site +1

Five years minimum experience in software engineering, application development, data engineering ... executive management, operating company leadership, IT teams, Security, Legal, Risk, and other ...

EMCOR Group, Inc.

AI Engineer

Norwalk, CT · On-site +1

Five years minimum experience in software engineering, application development, data engineering ... executive management, operating company leadership, IT teams, Security, Legal, Risk, and other ...

ABB

Senior Project Engineer

Wilton, CT · Remote

$101K - $132K/yr

Engineering Manager __ Your role and responsibilities: In this role, you will have the opportunity ... The work model for the role is: remote #LI-remote This role is contributing to the Electrification ...

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All JobsSoftware Engineering JobsRemote Software Engineering Manager JobsRemote Software Engineering Manager Jobs in Shelton, CT

Remote Software Engineering Manager information

See Shelton, CT salary details

$99.8K

$169.9K

$201.1K

How much do remote software engineering manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote software engineering manager in Shelton, CT is $169,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,500.00 and $173,500.00 per year, depending on experience, location, and employer.

What is a remote software engineering manager?

A Remote Software Engineering Manager is a leadership professional who oversees software development teams that work from various locations, rather than in a traditional office setting. Their responsibilities include managing team performance, guiding technical direction, coordinating projects, and ensuring effective communication among remote team members. They also play a key role in hiring, mentoring, and supporting engineers to achieve both individual and organizational goals. This role requires strong technical expertise, excellent communication skills, and the ability to manage projects and people in a distributed work environment.

What does a remote software engineering manager do?

As a remote software engineering manager, you work from home to manage a team that develops or enhances computer software programs. In this remote role, you direct a team of employees to design computer programs, develop solutions to engineering challenges, and enhance the capabilities of existing software and systems. Your responsibilities span project management duties, team building and recruitment activities, and collaboration with information technology teams and other departments. You also consult with company executives to determine software requirements and limitations and provide updates on projects. You must understand company standards and follow organizational guidelines to achieve specific goals.

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

To thrive as a Remote Software Engineering Manager, you need strong leadership abilities, deep technical expertise in software development, and a track record of managing engineering teams, often supported by a degree in computer science or related fields. Familiarity with project management tools (like Jira or Asana), version control systems (such as Git), and collaboration platforms (like Slack or Zoom) is crucial, along with Agile or Scrum certifications. Exceptional communication, emotional intelligence, and the ability to motivate and mentor remote teams are standout soft skills in this role. These combined skills enable effective project delivery, foster team cohesion across distances, and ensure continuous team growth and innovation.

How does a remote software engineering manager effectively foster team collaboration and communication across different time zones?

As a Remote Software Engineering Manager, you'll be responsible for ensuring strong communication and collaboration among team members who may be distributed globally. This typically involves leveraging asynchronous tools like Slack, project management platforms, and regular video meetings to keep everyone aligned. You'll need to set clear expectations around availability, documentation, and handoffs, and proactively address challenges such as time zone overlap and cultural differences. Establishing a culture of transparency and frequent feedback helps maintain engagement and productivity within a remote environment.

What is the difference between Remote Software Engineering Manager vs Remote Software Developer?

AspectRemote Software Engineering ManagerRemote Software Developer
Required CredentialsBachelor's/Master's in CS or related, management experienceBachelor's in CS or related, coding skills
Work EnvironmentLeads teams, manages projects, strategic planningFocuses on coding, feature development, debugging
Employer & Industry UsageTech companies, startups, large enterprisesSoftware firms, tech startups, IT departments
Search & Comparison IntentUnderstanding managerial roles in remote settingsLooking for coding roles or entry to mid-level positions

The Remote Software Engineering Manager oversees teams, manages projects, and aligns technical strategies, requiring leadership skills and management experience. In contrast, a Remote Software Developer primarily focuses on coding, debugging, and implementing features. While both roles require technical expertise, the manager role emphasizes leadership and coordination, whereas the developer role centers on technical execution.

More about Remote Software Engineering Manager jobs

What job categories do people searching Remote Software Engineering Manager jobs in Shelton, CT look for?

The top searched job categories for Remote Software Engineering Manager jobs in Shelton, CT are:

What cities near Shelton, CT are hiring for Remote Software Engineering Manager jobs?

Cities near Shelton, CT with the most Remote Software Engineering Manager job openings:

Remote Software Engineering Manager jobs near you
Infographic showing various Remote Software Engineering Manager job openings in Shelton, CT as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $169,899 per year, or $81.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

New Haven, CT • Remote

Full-time

Re-posted 16 days ago

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