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Software Engineering Manager
SugarCRM · Kingston upon Hull, United Kingdom
About The Role
Join our team as a Software Engineering Manager, where you will lead and develop a talented group of engineers through a period of significant change. Your mandate will be to rebuild team culture, champion an AI-first engineering culture, and lead the shift towards multidisciplinary engineers. This is a systems and people-building role, where your decisions will shape the engineering organization for years to come.
- Rebuild a team that has been through a difficult transition and restore their confidence, drive, and sense of purpose.
- Champion an AI-first engineering culture where spec-driven development and generative AI tooling become the standard way of working.
- Lead the shift away from siloed specialists towards multidisciplinary engineers who think and contribute across the full stack.
- 5+ years of direct engineering management experience with a track record of developing individuals, managing performance, hiring talent, and building high-functioning teams
- Strong communication across audiences, able to hold a room of engineers and a room of senior stakeholders with equal confidence, translating between technical complexity and business context
- Strong technical credibility with a background in software development, sufficient to guide architectural decisions, set engineering standards, and earn the genuine respect of the engineers you manage
- A clear and well-formed point of view on the future of software engineering, including AI-first development, spec-driven workflows, and the evolving role of the engineer
- Proven experience leading a team through a period of significant change, whether through a merger and acquisition, organisational restructure, or a turnaround from low morale and underperformance
- Fluency in engineering metrics and delivery operations, with a clear understanding of the relationship between capacity, velocity, and throughput and the ability to use data to drive decisions
- Experience introducing generative AI tooling into an engineering team and navigating the human side of that change alongside the technical implementation
- A demonstrated track record of moving teams from siloed, specialist working towards cross-functional, multidisciplinary delivery
- Measurable outcomes in team health, delivery predictability, or engineering effectiveness, with the data to support them
- Experience in post-merger or post-acquisition engineering environments where you have rebuilt culture and operating practice from a difficult starting point
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