AI DI Engineering Manager

• Experience: 7+ years in AI, data science, or analytics roles, including at least 2 years in a team leadership position
• Team leadership: Proven track record of building, managing, and growing technical teams in fast-paced environments
• Technical depth: Strong understanding of AI architectures, data modeling principles, and model fine-tuning methodologies
• End-to-end ownership: Experience leading complex technical integrations from scoping through delivery and ongoing optimization
• 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
• Process excellence: Track record of implementing scalable methodologies that improve delivery quality and team efficiency
• Business acumen: Clear understanding of how AI creates business value and the ability to connect technical decisions to strategic outcomes
• 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

• 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

As an AI DI Engineering Manager, you will own the end-to-end integration of Aily's platform within client environments — from initial scoping through deployment and continuous optimization. You will lead a team of Decision Intelligence Analysts, set the standard for how we deliver value to clients, and act as the senior technical and strategic point of contact across engagements.

• Lead and develop a team of Decision Intelligence Analysts working across multiple client engagements and industries
• Own the end-to-end integration lifecycle for strategic client accounts — from requirements definition to model deployment and performance validation
• Establish standardized methodologies for defining data requirements, adapting models to client contexts, and ensuring consistent delivery quality
• Oversee strategic data model architecture decisions, ensuring scalability, flexibility, and alignment with client business objectives
• Guide Decision Intelligence Analysts in running, fine-tuning, and optimizing AI models to achieve the best possible decision outcomes
• Implement rigorous validation frameworks that ensure all model outputs deliver measurable, demonstrable business value
• Serve as the senior technical relationship owner for key clients, managing expectations and ensuring alignment between platform capabilities and client goals
• Collaborate closely with Product, Engineering, and Client Success teams to surface client insights that enhance our platform roadmap
• Ensure your team develops deep expertise in client business processes and user needs, creating solutions that drive adoption and lasting impact

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.

• Work on one of the most exciting problems in enterprise AI — how organizations make decisions at scale
• Join a team of world-class engineers, scientists, and operators building something genuinely new
• Competitive salary and equity package
• Flexible, hybrid culture with the option to work from our offices in Barcelona, Madrid or Munich. 
• A culture that values ownership, curiosity, and direct feedback