AI DI Engineering Manager

Aily Labs; Madrid; Presencial; EUR 80.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Global company culture

Fast growth path

Hybrid working model

Descripción de la vacante

Aily Labs in Madrid is seeking an AI DI Engineering Manager to oversee the integration of AI solutions within client environments. You will lead a team of Decision Intelligence Analysts while managing senior technical relationships and ensuring alignment between AI capabilities and client goals.

This role requires strong business acumen, a deep understanding of AI architectures, and proven team leadership in fast-paced environments. The position promotes a hybrid working model and offers growth opportunities.

Formación

• 7+ years in AI, data science, or analytics roles, including at least 2 years in a team leadership position.
• Experience with agentic AI systems or decision optimization platforms.
• Background in technical pre-sales or solution architecture.

Responsabilidades

• Own the end-to-end integration lifecycle for strategic client accounts.
• Lead a team of Decision Intelligence Analysts across multiple client engagements.
• Implement rigorous validation frameworks to ensure model outputs deliver business value.

Conocimientos

Experience leading complex technical integrations

Strong understanding of AI architectures

Client management and relationship building

Team leadership and management

Business acumen in AI solutions

Project management skills

Descripción del empleo

• 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

Benefits

• Global company and culture
• Fast growth path
• Hybrid working model

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-classWe’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