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Remote Engineering Manager Jobs in Connecticut (NOW HIRING)

Deloitte

Epic Denials Manager

Hartford, CT · Remote

Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

Deloitte

Epic Denials Manager

Stamford, CT · Remote

Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

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All JobsEngineering JobsRemote Engineering Manager JobsRemote Engineering Manager Jobs in Connecticut

Remote Engineering Manager information

See Connecticut salary details

$44.2K

$139.7K

$165.5K

How much do remote engineering manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote engineering manager in Connecticut is $139,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $164,600.00 per year, depending on experience, location, and employer.

What is a remote engineering manager?

A Remote Engineering Manager is responsible for leading and overseeing a team of engineers who work remotely. Their duties include setting technical direction, managing projects, ensuring team collaboration, and supporting professional growth. They also focus on communication, process improvement, and aligning the team's work with company goals. Strong leadership, technical expertise, and remote management skills are essential for success in this role.

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

To thrive as a Remote Engineering Manager, you need a strong background in software engineering, team leadership, and project management, usually supported by a relevant technical degree and previous leadership experience. Familiarity with agile methodologies, code repositories (like Git), collaboration platforms (such as Slack and Jira), and sometimes certifications like PMP are commonly expected. Outstanding communication, conflict resolution, and the ability to motivate and build trust within distributed teams are standout soft skills. These qualities are essential for successfully leading remote teams, ensuring project alignment, and delivering engineering goals efficiently in a virtual environment.

What are some common challenges faced by remote engineering managers, and how are they typically addressed in the work environment?

Remote Engineering Managers often face challenges such as ensuring clear communication across diverse time zones, fostering team cohesion in a virtual setting, and maintaining project visibility. Many companies address these issues by utilizing daily standup meetings, regular one-on-one check-ins, and collaboration tools like Slack, Jira, or Zoom to keep everyone connected and accountable. Managers are encouraged to establish clear processes, transparent goals, and open lines of communication to create a supportive environment. Investing in team-building activities and regular feedback sessions also helps remote teams remain engaged and productive.

Can remote engineering managers work remotely?

Remote engineering managers can work remotely, as many companies allow leadership roles in engineering to be performed from any location. Success in such roles often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage distributed teams effectively.

How much should a remote engineering manager be paid?

The salary for a remote engineering manager typically ranges from $100,000 to $180,000 annually, depending on experience, industry, company size, and location of the company’s headquarters. Compensation may also include bonuses, stock options, and benefits, with higher salaries often associated with larger tech companies or those in high-cost regions. Skills in leadership, project management, and technical expertise in relevant tools can influence pay levels.

What are the most commonly searched types of Remote Engineering jobs in Connecticut?

The most popular types of Remote Engineering jobs in Connecticut are:

What are popular job titles related to Remote Engineering Manager jobs in Connecticut?

For Remote Engineering Manager jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Engineering Manager jobs in Connecticut look for?

The top searched job categories for Remote Engineering Manager jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Engineering Manager jobs?

Cities in Connecticut with the most Remote Engineering Manager job openings:

Remote Engineering Manager jobs near you
Infographic showing various Remote Engineering Manager job openings in Connecticut as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $139,713 per year, or $67.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Waterbury, CT • Remote

Full-time

Re-posted 17 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