AI DI Engineering Manager

Job title: AI DI Engineering Manager

About the Role Lead end-to-end integration of Aily's platform within client environments, from scoping through deployment and continuous optimization. Act as the senior technical and strategic point of contact across engagements and lead a team of Decision Intelligence Analysts to deliver measurable client value.

What You'll Do

• 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.

What We're Looking For

• 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.
• Bonus points: 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.

Nice to Have

• 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.

Compensation & Benefits

• Salary: Competitive salary and equity package.
• Culture and flexibility: Flexible, remote-first culture with the option to work from offices in Lisbon and Munich.
• Perks: A culture that values ownership, curiosity, and direct feedback.