11 publicaciones de empleo destacadas de communications assistant en ciudad de méxico (¡Están contratando!)

AI Native Product Designer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
Postulación rápida
8d
Senior Software Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Desarrollo de software
Lead Software Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Java
AI Operations Executive (Overnight Shift)
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Servicio al cliente
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
IT System Engineer
BSA-JLL - LaSalle Partners, MEX —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Mantenimiento
- Liderazgo
Postulación rápida
AI Native Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
8d
Software Engineer | AI Focus
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Salesforce
Embedded Security Manager - México City
Control Risks —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Mantenimiento
- Inglés
Postulación rápida
AI Native Data Architect
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java
Postulación rápida
8d
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Senior Software Engineer
Alcor —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Postulación rápida

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Senior Openshift Engineer
Accenture —Ciudad de México, CDMX
Entre 3 y 5+ años de experiencia en infraestructura Linux y Kubernetes. Configurar y optimizar redes definidas por software (SDN).
Desarrollador QA Automation Engineer (APIs & CI/CD)
Todo Tendencias Tecnológicas S.R.L de C.V. —Ciudad de México, CDMX
Se valorarán certificaciones o cursos relacionados con pruebas de software, automatización, APIs, metodologías ágiles, DevOps o calidad de software.
$18,000 a $20,000 por mes
Postulación rápida
9h

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Empleos de Product Designer en Ciudad De México

AI Native Product Designer

PALO IT -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 8 días

Cualificaciones

UX
WCAG

Descripción completa del empleo

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)
We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
We are robust and resilient (100% independent, 0 debt, founded 2009)
We are AI-native professionals who invest in what we believe and work as a collective intelligence
We are positive, courageous and deliver at the leading edge.

Your Role

As a Lead Design Ops, you will define, scale, and govern the Design Operations practice across multidisciplinary teams, enabling consistency, efficiency, and high-quality design delivery in a modern AI-first environment.

Define and implement the Design Ops model, including governance, standards, and ownership frameworks
Establish and scale design systems operations across web, mobile, and desktop platforms
Build and maintain design tokens, component libraries, and system architecture for cross-platform consistency
Design and optimize end-to-end workflows, ensuring seamless collaboration between design, product, and engineering
Create and maintain living documentation systems to support scalability and knowledge sharing
Define and manage tooling architecture, integrating platforms such as Figma, Storybook, and AI-powered tools
Leverage AI (Figma AI, Copilot, Cursor) to automate processes and enhance design productivity
Implement Design CI/CD pipelines, enabling continuous integration between design and development
Define and track OKRs and KPIs to measure adoption, efficiency, and design quality
Ensure accessibility standards (WCAG) and design quality benchmarks are consistently met
Act as a strategic partner to Product, Engineering, and Leadership teams
Drive alignment and influence without direct authority across distributed teams

Who You Are

Proven experience in Design Ops, Design Systems, or UX Operations roles
Strong experience building and scaling design systems and tokens across platforms
Hands-on experience with Figma, Storybook, and modern design tooling ecosystems
Understanding of design-to-code workflows and CI/CD for design systems
Experience integrating AI tools into design workflows (Figma AI, Copilot, Cursor)
Knowledge of accessibility standards (WCAG) and inclusive design practices
Strong understanding of cross-functional collaboration (Design, Product, Engineering)

Soft Skills

Strong system thinking and strategic mindset
Ability to influence without authority
Expertise in documentation and knowledge scaling
Comfortable making decisions in ambiguous environments
Strong communication and stakeholder management

AI-Native Engineering (Core Expectation)

Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:
Code scaffolding and refactoring
Code generation and optimisation
Test-cases and documentation generation
Build applications through AI-driven development practices, including:
AI-assisted debugging and troubleshooting
Intelligent code completion and pattern recognition
Automated documentation generation
Apply prompt engineering best practices for reliable, repeatable engineering outcomes.
Validate GenAI output (determinism checks, guardrails, fallback logic).

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

Stimulating working environments
Unique career path
International mobility
Internal R&D projects (including Gen-e2)
Knowledge sharing
Personalized training via PALO IT Academy
Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

Postulación rápida

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communications assistant empleos en ciudad de méxico

AI Native Product Designer

Senior Software Engineer

Lead Software Engineer

AI Operations Executive (Overnight Shift)

IT System Engineer

AI Native Data Engineer

Software Engineer | AI Focus

Embedded Security Manager - México City

AI Native Data Architect

Senior AI Engineer

Senior Software Engineer

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Who We Are

Building the AI-first frontier enterprise.

Your Role

Who You Are

Soft Skills

AI-Native Engineering (Core Expectation)

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

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communications assistant empleos en ciudad de méxico

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Quiero recibir la alerta de empleo más reciente para communications assistant en ciudad de méxico

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Who We Are Building the AI-first frontier enterprise.

Your Role

Who You Are

Soft Skills

AI-Native Engineering (Core Expectation)

More About PALO IT Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

Who We Are

Building the AI-first frontier enterprise.

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.