Job description
AI DI Engineering Manager
Company Overview
At Aily Labs, we're building the AI operating system for business decisions. Our platform empowers organizations to make faster, smarter, and more consistent decisions by combining cutting-edge AI with deep business context. We work with leading enterprises across industries to transform how decisions are made — from strategy to execution.
Job Summary
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.
Key Responsibilities
- 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
Requirements / Qualifications
- 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
Preferred Qualifications
- 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
Location
Greater Munich Metropolitan Area (Hybrid). Offices also available in Barcelona and Madrid.
Employment Type
Full Time
Salary & Benefits
- Competitive salary and equity package
- Flexible, hybrid culture
