Manager of Engineering Revenue Intelligence, SugarCRM

• We are looking for a dynamic, hands-on Engineering Manager who thrives on new challenges and is excited about staying close to the code
• Bachelor’s degree in Computer Science, or other relevant field, plus 5 years of professional experience in a technical software development position
• 2+ years of recent experience directly managing software engineers, including coaching, performance management, identifying skill gaps, and executing development and improvement plans, along with 2+ years of experience recruiting, interviewing, and hiring engineering talent
• 2+ years of experience leading Scrum team ceremonies and 3+ years of experience developing web and/or mobile applications, backend services, and test automation in a professional software development organisation
• 3+ years of experience with tools such as Git, Jira, and Confluence, and with large-scale enterprise products and/or distributed SaaS systems
• Demonstrated ability to lead teams through ambiguity, pressure, or periods of low morale, while rebuilding trust, improving execution, and creating a sustainable pace of delivery
• Strong emotional intelligence, coaching ability, and interpersonal judgement, with the ability to resolve conflict, influence across the wider organisation, and communicate clearly with both technical and non-technical audiences
• Skilled in planning, risk management, and organisational skills, including experience managing remote teams across time zones and improving engineering systems, team processes, and operating rhythms to enable healthy, repeatable execution
• We want you to learn new things in this role, and we encourage you to apply if your experience is close to what we’re looking for
• We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a fluid and collaborative environment

Desirable

• This role is uniquely positioned to make an immediate impact within product engineering by leading a team of engineers through a period of change, strengthening team health, and elevating engineering excellence while delivering on our AI-driven Revenue Intelligence capability
• The ideal candidate will thrive in a high-paced, high-visibility position that works closely with cross-functional teams to deliver the product and technology roadmap, while bringing the emotional intelligence, technical judgement, and autonomy needed to build strong systems, restore confidence, and create a sustainable, high-performing engineering organisation
• Manage, mentor, and develop a team of software engineers through regular coaching, career development, performance feedback, and clear expectations, while leading core people management activities including 1:1s, reviews, goal-setting, promotions, compensation decisions, hiring, and resource planning
• Build a positive, resilient team culture that promotes psychological safety, collaboration, continuous learning, accountability, and sustainable ways of working, while assessing team health and addressing the root causes of morale, delivery, and organisational issues
• Lead delivery by facilitating effective team operating rhythms, removing blockers, improving processes, and using metrics such as velocity, cycle time, throughput, and defect rates to strengthen planning, balance workloads, and improve predictability
• Define product roadmaps and technical vision with stakeholders, communicate progress, risks, and trade-offs, and align delivery, architecture, and quality standards with business goals and team capacity
• Lead technical decision-making across architecture, engineering standards, code quality, testing, reliability, maintainability, and technical debt reduction, while providing hands-on guidance and championing engineering excellence across the team
• Manage cross-team dependencies through clear ownership, integration points, API contracts, co-ordinated releases, documentation, and thoughtful adoption of GAI tools to improve productivity and developer effectiveness