20 publicaciones de empleo destacadas de lead agentic data systems engineer en centro (área 1) cdmx (¡Están contratando!)

Senior Product Manager, AI
Aplazo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Bilingüe
- Administración de personal
- Inglés
Postulación rápida
Sr. Manager SRE (Individual Contributor)
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Forward Deployed Engineer
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
Postulación rápida
Deployment Strategist (Strategic Builder)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Oracle
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Portfolio Leader (Builder People Leader)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Liderazgo
Staff Software Engineer, Core Infrastructure
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- CAD
- Capacitación
- Python
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior Software Development Engineer
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. - D44 —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Java
ETL Software Engineer | Data
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- SQL
6d
Analytics Associate Director, GOC
WPP Media —Ciudad de México, CDMX
- Azure
- Administración de personal
- DevOps
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
AI Engineer
DXC Technology —Ciudad de México, CDMX
- Oracle
- Administración de personal
- Salesforce
Full Stack Developer/AI Engineer
WPP —Ciudad de México, CDMX
- Azure
- Inglés
- Python
13d
Design System Developer – Angular
Citi —Ciudad de México, CDMX
- Tiempo completo
- Diagramas
- Licenciatura
- Sin título de educación superior
6d
Software Engineer MTS
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Experiencia en ventas
Lead Site Reliability Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
PLM Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Administración de personal
- ERP systems
- Java
Postulación rápida
Senior Engineer, Insights & Reliability Engineering
Crunchyroll, LLC —Ciudad de México, CDMX
- Informática
- SQL
- Licenciatura
Growth Delivery Director
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Experiencia en ventas
Postulación rápida
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos

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Senior Product Manager, AI

Aplazo -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Bilingüe
Administración de personal
Inglés
SQL
Gestión de productos
Python

Descripción completa del empleo

About Aplazo

Aplazo is Mexico’s leading “buy now, pay later” platform, giving consumers flexible, transparent payment solutions while helping merchants grow their sales. We’re a fast-growing Series B fintech backed by top global investors, combining technology, data, and design to redefine financial access. Our team is driven by curiosity, fueled by passion, and united by a customer-centric culture that guides every decision we make. With AI-powered risk management and a relentless focus on impact, we’re building a fairer, more inclusive financial ecosystem—scaling fast to become Mexico’s preferred payment method.

Role’s Mission

Aplazo is in the middle of an AI transformation. We are shipping AI-powered features to consumers and merchants, building internal tools that change how our teams work, and developing the infrastructure that makes all of it possible. This is underway, not planned.

The Senior PM, AI owns the product side of that transformation. This role defines what we build and why—setting the AI roadmap, owning delivery of AI-powered features, and working alongside Engineering, Operations, Risk, Data Science, Design, and other partner teams to land outcomes that matter.

This is a hands-on role. At Aplazo, PMs are expected to build, not just plan. The gap between “I have an idea” and “here is a working prototype” is collapsing, and we expect this person to close it. You will work directly with APIs, prompt pipelines, and evals—not just manage the people who do. Reporting to the CRPO, with high visibility and a broad mandate.

Key Responsibilities

Own the AI Roadmap: Define what Aplazo builds with AI, for whom, and in what order. Translate company priorities into a coherent product agenda spanning consumer products, merchant products, and internal tooling. Make the hard calls about what not to build.
Ship AI-Powered Products: Lead end-to-end delivery of AI features across the consumer and merchant experience—smarter onboarding, more intelligent decisioning, personalized flows. Work directly with Engineering and Design. Move from problem to production.
Build Internal AI Tools: Identify and deliver tools that make Aplazo teams measurably faster—automated workflows, intelligent processing, and AI copilots for Risk, Ops, and Product. Own adoption, not just availability.
Define Requirements for the AI Platform: Partner with the AI Engineer to translate product needs into platform capabilities—RAG pipelines, orchestration layers, evaluation frameworks, and safety controls. Be a credible counterpart: understand what you’re asking for.
Partner on Risk & Data: Collaborate with Risk and Data Science to identify AI use cases that improve approval rates, fraud detection, and collections. Understand the data well enough to have an opinion.
AI Strategy & Governance: Establish evaluation standards, responsible use guidelines, and build/buy/partner frameworks. Be the company’s AI subject matter expert. Know what’s possible, what’s practical, and what’s worth building. Push back when hype outpaces value.
Team Building: Hire and grow a small AI product team as scope expands. Be a player-coach: individual contributor first, team builder over time.

Requirements

Years of experience: 5+ years in product management, including hands-on work shipping agentic products to production.
Technical skills:
- Has built and shipped AI-powered products end-to-end—not just managed roadmaps. Has gotten their hands into APIs, prompt pipelines, evals, and model outputs.
- Comfortable working at the systems level: understands how LLMs work (context, tokens, latency, cost, hallucination), not just how to prompt them.
- Knows what makes AI output production-grade—the quality of context, specs, and verification, not just the cleverness of the prompt.
- SQL and Python proficiency is a requirement. Can prototype without waiting for Engineering.
Soft skills:
- Strategic clarity—makes hard prioritization calls and can articulate the reasoning. Decides what not to build as readily as what to build next.
- Strong written communication—writes one-pagers that co-founders actually read and specs precise enough for engineers to act on without a meeting.
- Builder at heart—gets into the work, not just the deck. Sets their own agenda. Does not wait to be told what to do.
- Effective cross-functional operator—has worked closely with Engineering, Data Science, Design, and non-technical stakeholders. Comfortable influencing without authority.
Languages:
- Communication at Aplazo is bilingual; proficiency with English is a requirement.

What Success Looks Like

There is a clear, well-reasoned AI roadmap that leadership can speak to and product teams can execute against.
AI-powered features are shipping to consumers and merchants—with defined owners, clear metrics, and measurable outcomes.
Internal AI tools are adopted, not just available. Teams are measurably faster because of them.
The AI Engineer and product teams are aligned on platform priorities because this PM has translated product needs into clear technical requirements.
The AI investment is visibly tied to business results—approval rates, conversion, operating efficiency—not just to activity.

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Aplazo does not discriminate on the basis of race, religion, skin color, sex, gender, age, ethnic or national origin, marital status, disability, social or economic status, sexual preferences, or any other condition or characteristic. Selection is based solely on the qualifications and merits of the candidates.

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