Senior Engineering Manager, AI-Native R&D

At Nerdio, our mission is to simplify the lives of IT professionals and maximize their Microsoft cloud and end user computing investments.

We support organizations of all sizes looking to deploy, manage, and cost‑optimize native Microsoft technologies. We partner with Enterprises and Managed Service Providers all over the world to add value on top of their existing native Microsoft investments like Azure Virtual Desktop (AVD), Windows 365, and Microsoft Intune.

Created in 2016, Nerdio has always taken a market‑leading and collaborative approach to cloud deployment and management. In fact, our product roadmap is greatly influenced by the regular feedback we receive from having seen companies deploy AVD into production environments several thousand times using Nerdio technology.

Today, Nerdio is used in over 50 countries by more than 15,000 organizations of every size and vertical. We’re committed to delivering exceptional service and support, which starts with identifying and supporting the best staff possible.

We are a fast‑moving, nimble company looking for individuals whoare collaborative, empathetic, driven and who love to move at the speed of light. If you want to be part of the AVD transformation that Microsoft and Nerdio are leading, then we want to speak with you.

We are looking for a Senior Engineering Manager to lead a growing AI‑native R&D team of 10+ engineers. This dual‑track role combines direct people management with hands‑on coding, architecture, and technical execution. You will remain close to the work, establish responsible AI‑assisted development practices, and earn technical trust by helping solve the group’s most difficult engineering problems.

You will own the technical execution of complex problems from initial concept through implementation, evaluation, product validation, and production readiness. You will use AI coding agents and agentic frameworks as part of your daily workflow and help the team do the same without sacrificing code quality, security, reliability, or architectural discipline. You will turn ambiguous needs into clear, testable specifications, measurable evaluation criteria, and executable engineering backlogs, then ensure validated concepts are production‑ready or transferred to product engineering through clear documentation and structured handoffs.

• Lead and mentor the team, fostering a culture of ownership, accountability, experimentation, and continuous improvement.
• Run effective 1:1s, performance reviews, and career development conversations that help each engineer grow, thrive, and understand what success looks like.
• Set clear expectations, provide timely feedback, recognize strong contributions, and address performance or team‑health concerns directly and constructively.
• Hire, onboard, and develop engineers who can operate effectively in a fast‑moving environment where tools, practices, and technical assumptions evolve quickly.
• Create an inclusive, psychologically safe team environment where engineers can challenge ideas, learn from failed experiments, and make decisions with appropriate speed and rigor.
• Balance the demands of people leadership and hands‑on engineering, protecting focus while staying technically credible and accessible to the team.

• Own R&D initiatives end to end. Take ideas through specification, technical design, implementation, testing, evaluation, product validation, documentation, production readiness, and a structured handoff to product engineering with a high degree of independence and accountability.
• Build with AI in the loop. Use AI coding assistants, LLM APIs, coding agents, and agentic frameworks such as Microsoft Agent Framework or…