Chief Technology Officer, AI & Machine Vision Solutions
Hybrid, USA
Salary: Competitive, commensurate with experience + Benefits
JBAndrews is proud to partner with a rapidly growing innovator in the manufacturing sector who leverages cutting-edge AI-enabled machine vision technologies to revolutionize critical manufacturing processes, driving resilience, operational efficiency, and sustainability.
About the role:
We are seeking a visionary Chief Technology Officer (CTO) to lead the company’s technology and engineering efforts, playing a pivotal role in shaping the strategic direction and operational excellence of this dynamic organization. This role offers the opportunity to make a tangible impact in a fast-paced environment at the forefront of AI and robotics innovation.
Responsibilities:
- Define and implement the company’s technology strategy in alignment with business goals.
- Lead engineering teams across AI/ML, software, hardware, and systems engineering, fostering a culture of innovation and continuous improvement.
- Collaborate with executive leadership to develop long-term integrated product and technology roadmaps.
- Oversee the execution of R&D, new product development, sustaining engineering, and operational improvement programs.
- Ensure compliance with data/cybersecurity, information management, and governance standards.
- Manage the engineering department’s annual budget, aligning with financial objectives.
- Monitor and adopt emerging technologies to enhance product capabilities and company performance.
- Develop scalable software architectures and ensure technical excellence in product development.
- Partner with manufacturing, quality, and regulatory teams to achieve design-for-excellence (DFX) goals.
Requirements:
- Bachelor’s degree in Computer Science or a related engineering field; a Master’s degree is highly desirable.
- 15+ years of progressive management experience, including 5+ years in a senior leadership role.
- 5+ years of project management experience; PMP or similar certification preferred.
- Strong background in AI/ML and demonstrated expertise in driving innovation.
- Proven success in building and leading high-performing, cross-functional engineering teams.
- Experience managing engineering operations within financial budgets.
- Excellent communication, strategic thinking, and problem-solving skills.
- Comprehensive knowledge of software engineering, including agile development practices.
Due to the large number of applications, if you have not heard anything within 14 days, then unfortunately, you have been unsuccessful.
