Engineering Manager

Camgian; Huntsville (AL); On-site; USD 120,000 - 180,000; Full time

Job summary

Camgian is seeking an Engineering Manager to lead a growing team of engineers in software/AI/data science. You will mentor staff, ensure alignment with product roadmaps and development plans, and foster a culture of excellence with focus on growth and retention.

The role emphasizes strong people management, collaboration with cross-functional teams, and the ability to guide technical decisions while maintaining delivery timelines in a fast-paced environment.

Qualifications

• 5+ years in software engineering or AI/data science with at least 2 years in leadership/management.
• Background in languages such as Python, C++, Go, Java, JavaScript, ML, data science, or related fields.
• Experience with Agile/Scrum or other project management methodologies.
• Proven mentoring and management of engineering teams with focus on development, growth and retention.
• Excellent communication and cross-functional collaboration abilities.
• Bachelor’s degree in CS/engineering or related field; advanced degrees/certifications are a plus.
• US Citizenship

Responsibilities

• Lead and mentor a team of engineers in software/AI/data science.
• Oversee projects to align with roadmaps, timelines, and quality processes.
• Provide technical guidance in design, debugging, and best practices.
• Collaborate with Product, Program, and QA to align goals and schedules.
• Participate in recruiting to attract and retain top engineering talent.
• Evaluate and improve development processes, tools, and workflows for efficiency.
• Conduct performance evaluations and provide constructive feedback.

Skills

Team leadership

Mentoring

Agile/Scrum

Communication

Education

Bachelor’s degree in CS/Engineering

Master’s degree preferred

Tools

Python

C++

ML

Job description

Camgian is looking for an Engineering Manager who can lead, mentor, and support our growing team of engineers. In this role, you will be responsible for overseeing engineers , ensuring their work aligns with product roadmaps, development plans, and fostering a culture of excellence. We value candidates with a strong passion for people management and a good understanding of the technical landscape in software engineering or AI/ML or data science fields.

Qualifications

• Experience: Minimum of 5 years in software engineering or AI or data science with at least 2 years in leadership or management role.
• Technical Skills: Background in one or more technologies or programming languages, such as C++, Python, GoLang, Java, JavaScript, Machine Learning, Signal Processing, Data Science, SQL, with experience in development.
• Project Management: Experience with Agile, Scrum, or other project management methodologies.
• Leadership Skills: Proven experience in mentoring and managing engineering teams, with a focus on team development, growth, and retention.
• Collaboration: Excellent communication skills and ability to work effectively with cross-functional teams.
• Education: Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience). Advanced degrees or certifications are a plus.
• US Citizenship

Desired Skills

• Experience: Minimum of 5 years in leadership or management role.
• Technical Skills: Strong background in one of the disciplines such as Software Engineering, Artificial Intelligence, Signal Processing, Machine Learning, Data Science, Data Engineering.
• Leadership Skills: Proven experience in managing a team through development, testing, and deployment of products to customers
• Education: Master’s degree in computer science, engineering, or a related field (or equivalent experience)

Key Responsibilities

• Team Leadership: Lead and manage a team of engineers in software or AI or data science fields, providing mentorship, guidance, and career development.
• Project Oversight: Oversee software projects, ensure the engineers are working within program management timelines, quality processes are being followed, and performance standards are met with respect to project deliverables.
• Technical Guidance: Offer technical expertise in design and development, troubleshooting complex issues, and maintaining best practices.
• Collaboration: Work closely with cross-functional teams including Product, Program, and QA to coordinate product goals and timelines.
• Hiring & Retention: Participate in recruitment efforts to attract and retain top engineering talent. Foster a collaborative and positive team environment.
• Process Improvement: Continuously evaluate and improve development processes, tools, and practices to enhance team efficiency and quality.
• Performance Management: Conduct regular performance evaluations, provide constructive feedback, and implement action plans to help team members reach their full potential

Exceptional work ethic, willingness to learn, tenacity not to quit, aptitude to surpass, and strong desire to work in a fast-paced environment are necessary for success. Collaboration and cross pollination with other teams will be frequent; thus communication, openness, and willingness to share both success and failure is a must. We are a team-centric organization, there are no individuals, we win and lose together.