20 publicaciones de empleo destacadas en lead agentic data systems (¡Están contratando!)

AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
Postulación rápida
Senior AI UX Product Designer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Gestión de productos
- Python
Enterprise Architect Agentforce & Data Cloud - Mexico
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Gestión de venta al por menor
- Liderazgo
Senior AI Data Engineer
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Principal/Senior/Mid - AI/ML Engineer - Mexico City
ailylabs —Ciudad de México, CDMX
- DevOps
- Capacitación
- Python
Postulación rápida
PMM Director
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Inglés
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Director of AI/ML
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Doctorado
- Informática
Lead Python Developer with React
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- SQL
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Senior Artificial Intelligence Engineer
JANA Engineering Services de Mexico. —Querétaro, Qro.
- $40,000 a $45,000 por mes
- Tiempo completo
- Azure
- Informática
- Inglés
Postulación rápida
AI Builder, Emerging Talent
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Disponibilidad para viajar hasta un 50 %
- Experiencia en ventas
- Salesforce
Solution Consultant
Genesys —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Inglés
Senior Product Manager, AI
Aplazo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Bilingüe
- Administración de personal
- Inglés
Postulación rápida
Principal Engineer, Critical Support
QAD, Inc. —Ciudad de México, CDMX
- Incluye fines de semana
- Home Office (Desde casa)
- Oracle
- Informática
- ERP systems
Postulación rápida
Senior AI/ML Engineer
TechCXO —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Doctorado
- Informática
- Inglés
Postulación rápida
Partner Marketing Strategy & Operations Senior Analyst
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Mercadotecnia
- Salesforce
- SQL
11d
Digital Production Manager
Jellyfish —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Inglés
- JavaScript
Postulación rápida
3h
Director, Growth Engineering
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- Presencial
- Liderazgo
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Lead Python Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Python
- Vacaciones adicionales o permisos con goce de sueldo
7d
Senior Agent Manager, Agentforce & Data 360
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Inglés
8d

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AI DI Engineering Manager - Mexico City

ailylabs
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Cualificaciones

Modelos de inteligencia artificial
Modelado de datos
Experiencia en ventas
Liderazgo
Preventa

Descripción completa del empleo

Mission

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.

Your profile

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.

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

Your Profile
We're looking for a strategic leader who combines technical depth with the ability to build high-performing teams and trusted client relationships.
What you bring:

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 if you 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

Who are we?

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.
We're growing fast, and we're looking for exceptional people who want to shape the future of AI-driven decision-making.

What sets us apart?

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, remote-first culture with the option to work from our offices in Lisbon and Munich
A culture that values ownership, curiosity, and direct feedback

About us

LEARN MORE

Postulación rápida

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Quiero recibir la alerta de empleo más reciente para lead agentic data systems

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