AI DI Engineering Manager

Join Aily as an AI DI Engineering Manager, where you will lead the end-to-end integration of our platform within client environments. You will manage a team of Decision Intelligence Analysts, oversee the integration lifecycle for strategic client accounts, and serve as the senior technical relationship owner for key clients. This role requires a strategic leader with technical depth, client management experience, and a proven track record of building and managing technical teams.

• Diriger une équipe d'analystes en intelligence décisionnelle, établir des normes pour la livraison de valeur aux clients et agir en tant que point de contact technique et stratégique.
• Posséder le cycle de vie d'intégration de bout en bout pour les comptes clients stratégiques, de la définition des exigences au déploiement du modèle.
• Mettre en œuvre des méthodologies standardisées pour définir les exigences en matière de données, adapter les modèles aux contextes des clients et garantir la qualité de la livraison.
• This is a role for someone who thrives at the intersection of AI, business strategy, and client partnership — someone who can translate complex technical capabilities into measurable outcomes and build the internal practices that make our team world-class
• We're looking for a strategic leader who combines technical depth with the ability to build high-performing teams and trusted client relationships
• End-to-end ownership: Experience leading complex technical integrations from scoping through delivery and ongoing optimization
• Strategic thinking: Ability to anticipate trends in AI decision systems and position your team for continued innovation
• User advocacy: Experience championing end-user needs within technical implementation decisions
• Technical depth: Strong understanding of AI architectures, data modeling principles, and model fine-tuning methodologies
• Industry versatility: Demonstrated ability to apply AI solutions across multiple industries and business functions with measurable results
• Client management: Comfortable owning senior-level client relationships on the technical side — setting expectations, navigating complexity, and building trust
• Team leadership: Proven track record of building, managing, and growing technical teams in fast-paced environments
• Business acumen: Clear understanding of how AI creates business value and the ability to connect technical decisions to strategic outcomes
• Process excellence: Track record of implementing scalable methodologies that improve delivery quality and team efficiency
• Experience: 7+ years in AI, data science, or analytics roles, including at least 2 years in a team leadership position
• Hands-on experience with agentic AI systems or decision optimization platforms
• Background in technical pre-sales or solution architecture
• Experience working in or closely with enterprise SaaS companies