We are looking for an Engineering Manager to provide hands-on technical leadership while managing a diverse team of engineers. You will lead the development and scaling of our platform, systems, and processes to meet the growing demand for computer vision applications. This role is ideal for a lead engineer or technical lead who has managed teams, overseen technical delivery, and is ready to take the next step in their career. You will bring a strong technical background in software engineering, infrastructure, or DevOps, with the ability to lead by example and guide a high-performance team. You will have exposure to some or all of the following areas: - Web application development - Cloud Platforms (AWS, Azure, Google Cloud) - CI/CD Pipelines - Machine Learning / Deep Learning - Computer Vision - Linux / Embedded OS (Yocto) Location This role will be remote, based in Belfast (UK). Applicants must be legally authorized to work in the United Kingdom. Responsibilities In this role, you’ll: Report directly to the CTO, providing both technical leadership and management for the engineering team. Foster an environment of continuous growth by providing feedback, coaching, and mentorship to help each team member reach their potential. Play a critical role in design and implementation decisions, tackling complex challenges that drive platform scalability. Oversee backend development (Node.js) with GraphQL APIs and frontend development (React), integrated with AWS cloud infrastructure and CI/CD pipelines. Ensure high-quality software development adhering to architecture principles, coding standards, QA, and project specifications. Manage sprint planning to ensure timely delivery of projects and milestones. Identify and address technical debt and inefficiencies, proposing and implementing improvements. Lead the adoption of automated testing, continuous integration, and deployment processes to enhance development efficiency and quality. Drive team expansion through recruitment, career development, and building professional development pathways. Shape onboarding and mentorship programs to set engineers up for success, enabling skill development and career growth opportunities. Required Qualifications Proven experience leading and managing development teams in SaaS or AI, preferably in successful early-stage startup environments. In-depth knowledge of the software development lifecycle, including design, development, deployment, and scaling. Knowledge of machine learning, deep learning, or computer vision technologies and how they integrate into real-world applications. Strong background in designing and implementing Node.js applications and GraphQL APIs. Experience with frontend frameworks such as React. Solid understanding of Linux and embedded systems (e.g., Yocto). Familiarity with cloud platforms (AWS, Azure, GCP) and the ability to architect scalable cloud applications. Expertise in CI/CD pipelines and automated testing frameworks. A passion for team development, career progression, and fostering an inclusive and positive engineering culture. Strong academic background, ideally in Computer Science, Engineering, or related field. What We Offer Our product, Viso Suite, is the only end-to-end infrastructure for computer vision. It empowers enterprises to implement AI vision solutions significantly faster and more effectively than ever before. viso.ai is backed by the most successful investors who previously backed Facebook, Slack, Atlassian, DropBox, UiPath, Celonis, Segment, and many more. There are many benefits to working at viso.ai, including, in addition to competitive pay, being part of a small and agile, fast-growing company. Opportunity to work in a fast-paced, innovative environment. Competitive compensation package. Private Medical Insurance (including optical and dental) Flexible working hours and remote work options. Professional development and career growth opportunities. Join us in driving growth and shaping one of the most exciting AI industries. We look forward to hearing from you