- 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
- Integral 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 xqbhyrx
- 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

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📌 AI DI Engineering Manager (Madrid)
🏢 Aily Labs
📍 Madrid