16 publicaciones de empleo destacadas de agentic data systems engineer en ciudad de méxico, dif (¡Están contratando!)

AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
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Software Engineer | AI Focus
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Salesforce
Growth Delivery Director
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Experiencia en ventas
Postulación rápida
Marketing Data Scientist, Data & AI Enablement
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Maestría
Postulación rápida
Principal, Account SE
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Inglés
- Java
Lead Product Manager - AI Developer Platform
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- CAD
- Gestión de productos
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Salesforce Developer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Desarrollo de software
Cash Equities Software Engineering - Manager
HSBC Global Services Limited —Azcapotzalco, CDMX
- Tiempo completo
- Administración de personal
- Mantenimiento
- Java
8d
Full Stack Developer
GFT Technologies SE —San Miguel Chapultepec I Sección, CDMX
- Administración de personal
- Mantenimiento
- Java
- Seguro dental
- Seguro de vida
Senior Software Engineer– Salesforce Full Stack Developer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- SQL
- JavaScript
Sr. Manager SRE (Individual Contributor)
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
14d
Portfolio Leader (Builder People Leader)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Liderazgo
5d
Principal Associate SRE
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
14d
Senior Product Manager, AI
Aplazo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Bilingüe
- Administración de personal
- Inglés
Postulación rápida
Success Architect - Sales Cloud
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Salesforce
Lead Site Reliability Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
14d

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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

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agentic data systems engineer empleos en ciudad de méxico, dif

AI DI Engineering Manager - Mexico City

Software Engineer | AI Focus

Growth Delivery Director

Marketing Data Scientist, Data & AI Enablement

Principal, Account SE

Lead Product Manager - AI Developer Platform

Salesforce Developer

Cash Equities Software Engineering - Manager

Full Stack Developer

Senior Software Engineer– Salesforce Full Stack Developer

Sr. Manager SRE (Individual Contributor)

Portfolio Leader (Builder People Leader)

Principal Associate SRE

Senior Product Manager, AI

Success Architect - Sales Cloud

Lead Site Reliability Engineer

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Quiero recibir la alerta de empleo más reciente para agentic data systems engineer en ciudad de méxico, dif

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