Engineering Manager - .NET/TypeScript/AI

My client requires an experienced Engineering Manager to lead a high-performing SaaS engineering team, with a strong focus on .NET, TypeScript and AI-enabled product development., * Lead and support a team of software engineers, ensuring high-quality delivery across SaaS product development initiatives.

• Provide technical direction across .NET and TypeScript-based applications, ensuring scalable, secure and maintainable solutions.
• Work closely with product, engineering and senior business stakeholders to define priorities, manage expectations and support delivery timelines.
• Support the adoption and integration of AI tools, features and engineering practices across the product and development life cycle.
• Oversee engineering standards, code quality, architecture decisions and delivery processes across the team.
• Act as a key point of communication between technical teams and non-technical stakeholders, translating complex technical topics into clear business language.
• Encourage a culture of continuous improvement, collaboration and accountability within the engineering function.
• Support planning, resource allocation and delivery governance across multiple workstreams.

• Minimum 8+ years' experience in software engineering, with at least 3+ years in a technical leadership or engineering management role.
• Strong background in SaaS product environments is essential.
• Proven experience working with .NET and TypeScript technologies.
• Strong exposure to AI, including practical use of AI tools, AI-enabled product features or AI-assisted engineering practices.
• Previous experience managing software engineering teams in a fast-paced product or technology environment.
• Excellent communication skills with the ability to influence, challenge and engage senior stakeholders.
• Strong understanding of software architecture, agile delivery and modern engineering practices.
• Ability to balance technical leadership with people management and stakeholder engagement.

Desirable Skills

• Experience working with cloud-based SaaS platforms.
• Previous exposure to AI product strategy, machine learning integrations or generative AI tools.
• Experience scaling engineering teams or improving engineering delivery processes.
• Strong understanding of CI/CD, DevOps and modern software delivery pipelines.
• Experience working in a remote-first or distributed team environment.

Educational Requirements

• A third-level degree in Computer Science, Software Engineering, Information Technology or a related discipline is preferred.
• Equivalent professional experience will also be considered.