Manager, Software Engineering

Job description

About SugarAI UK Limited SugarAI is redefining CRM for the age of AI. We’re delivering on the original promise of CRM—turning fragmented customer and revenue signals into clear, prioritized action. Instead of more dashboards or surface-level insights, we help teams focus on what matters most and know exactly what to do next. More than two decades after our founding, we’re entering a new chapter with clarity and momentum—building intelligent, intuitive solutions that work within the flow of how teams actually sell and serve. We’re focused on solving complex, real-world challenges where relationships, context, and precision make all the difference. Our global team is united by a shared commitment to impact, ownership, and continuous growth. We create an environment where thoughtful ideas move quickly, where people are trusted to lead, and where flexibility supports how great work gets done. If you’re excited to help shape what’s next in AI-driven CRM—and build technology that drives real outcomes—we’d love to meet you. Impact You Will Make in the Role (Key Responsibilities): Lead, coach, and develop a team of software engineers through structured 1:1s, career development planning, performance feedback, and clearly set expectations, owning the full people management cycle including goal-setting , reviews, promotions, and compensation conversations. Rebuild team culture from the ground up, establishing psychological safety, accountability, and a genuine appetite for continuous improvement, identifying root causes of underperformance rather than addressing symptoms. Own delivery by introducing and maintaining effective operating rhythms, removing blockers systematically, and bringing rigour to planning and sprint health using metrics including velocity, cycle time, throughput, and defect rates. Be the technical conscience of the team, setting and enforcing engineering standards across code quality, testing, reliability, and maintainability, reducing technical debt strategically, and providing hands-on technical guidance. Lead the adoption of AI-first ways of working, introducing generative AI tooling into the engineering workflow and helping engineers understand and embrace their role as orchestrators in a spec-driven development environment. Develop multidisciplinary engineers by actively breaking down silos between front end, back end, data, and QA, building d…