Development Manager

Lead the teams shaping the future of AI-powered relevance. What if your next leadership challenge was about enabling teams to build the technologies that redefine how people find information? As a Development Manager, you'll play a key role in Coveo's newly organized Product Engineering structure, helping our Explore organization deliver the next generation of AI-powered search and recommendation capabilities. Explore is where Coveo’s AI comes to life. We build the intelligent discovery experiences that millions of people use every day - from search and recommendations to conversational AI and personalized experiences across commerce, service, websites, and AI agents. You’ll lead teams solving challenging problems in AI, search, and user experience while delivering products that have a direct, measurable impact on how people find information and get things done. As one of our Development Managers, you will: Lead two or more software development teams working on strategic initiatives within our Explore organization. Adapt your leadership style to the maturity, autonomy, and needs of each team while fostering ownership and accountability. Partner closely with Product Management, Applied Science, and Engineering leaders to deliver impactful AI-powered capabilities. Provide technical leadership through architecture discussions, design reviews, and code reviews when appropriate. Coach and develop engineers, supporting their career growth while building a healthy and high-performing engineering culture. Help shape the evolution of our R&D organization by contributing to cross-team collaboration, planning, and continuous improvement. Here is what will qualify you for the role: Previous experience as a Development Manager leading two or more distinct software development teams. Strong software engineering background with the ability to understand, review, and discuss production code. Experience building Software as a Service (SaaS) products. Demonstrated ability to delegate effectively and adapt your leadership approach to teams with different levels of maturity. What will make you stand out: Experience leading teams working on machine learning or artificial intelligence products. Experience collaborating with Applied Scientists or research-oriented engineering teams. Experience leading organizations through periods of growth or organizational transformation. Passion for building high-performing teams while remaining close to technical challenges. Do you think you can bring this role to life? Send us your application, we want to hear from you! Join the Coveolife! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact [email protected] to discuss your needs.

Lead multiple software development teams to deliver AI-powered search and recommendation capabilities within the Explore organization. Provide technical leadership through architecture and design reviews while coaching engineers to foster a high-performing culture.

Requires previous experience managing two or more distinct software development teams and a strong background in SaaS engineering. Ability to delegate effectively and adapt leadership styles to varying team maturity levels is essential.

• Apprentissage automatiqueSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Software Development Management
• SaaS
• AI
• Machine Learning
• Technical Leadership
• Architecture Design
• Code Review
• Engineering Mentorship
• Product Management Collaboration
• Strategic Planning
• Agile Leadership
• Organizational Transformation

• Management & Leadership
• Software
• Technology
• Engineering
• Data & Analytics

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine