Engineering Manager

Camgian Corporation

$110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Minimum of 5 years in software engineering, AI, or data science; at least 2 years in a leadership role.
  • Proficient in technologies like C++, Python, GoLang, Java, JavaScript, and principles of Machine Learning and Data Science.
  • Experience with Agile or Scrum methodologies in project management.
  • Proven skills in mentoring and managing teams, emphasizing development and retention.
  • Strong communication abilities for effective collaboration with cross-functional teams.
  • Bachelor's degree in computer science, engineering, or related field (advanced degrees are a plus).
  • US Citizenship required.

Responsibilities

  • Lead and manage engineering teams in software, AI, or data science, providing mentorship and guidance.
  • Oversee software projects to ensure timelines, quality, and performance standards are met.
  • Provide technical guidance in design, development, and troubleshooting of complex issues.
  • Collaborate with Product, Program, and QA teams to align product goals with timelines.
  • Engage in recruitment efforts to attract and retain high-performing engineering talent.
  • Continuously assess and enhance development processes for improved team efficiency.
  • Conduct performance evaluations, delivering constructive feedback to support team growth.

Benefits

  • Collaborative team environment with a focus on shared success and growth.
  • Opportunities for professional development and mentorship.
  • Culture that values communication and openness.
  • Emphasis on work-life balance and team-centric achievements.
  • Access to advanced technologies and innovative projects in the AI/ML landscape.
Full 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.

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