Technical Product Manager - REMOTE

Medium; A distancia; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A technology firm is seeking a Technical Product Manager based in Mexico to lead the strategy and development of AI-driven products using Microsoft Azure. This role involves defining the product vision, collaborating with engineering teams, and ensuring adherence to AI governance standards. The company offers a full-time remote position with a competitive salary. Ideal candidates have at least 5 years of experience in product management, especially with AI and cloud solutions, and a strong understanding of Microsoft Azure services.

Servicios

100% remote work flexibility from anywhere in LATAM

Opportunity to work with cutting-edge AI technologies

Dynamic and collaborative work environment

Formación

• 5+ years in product management with a focus on AI or cloud-based solutions.
• Hands‑on experience with Microsoft Azure services.
• Strong understanding of microservices architecture and REST APIs.

Responsabilidades

• Define and own the product vision and roadmap for AI solutions built on Azure AI stack.
• Collaborate with engineering teams to design scalable and secure AI solutions.
• Drive integration of AI workflows with various Azure services for CI/CD.

Conocimientos

Product management

AI solutions

Microsoft Azure

Collaboration

Educación

Bachelor's or Master's in Computer Science, Engineering, or related field

Herramientas

Microsoft Azure services

MLOps

Descripción del empleo

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Product Manager. In this role, you will lead the strategy, development, and delivery of AI-driven products using Microsoft Azure AI services and other advanced technologies. You will bridge the gap between business needs and technical capabilities, ensuring that our products not only meet customer expectations but also leverage the latest AI trends for competitive advantage.

Accountabilities

• Define and own the product vision and roadmap for AI solutions built on Azure AI stack.
• Align product initiatives with business objectives, customer needs, and emerging AI trends.
• Collaborate with engineering teams to design scalable and secure AI solutions.
• Drive integration of AI workflows with various Azure services for CI/CD.
• Explore and implement agentic AI frameworks and LLM-based solutions.
• Champion best practices for MLOps and model lifecycle management.
• Work closely with data scientists and stakeholders to ensure seamless delivery.
• Communicate technical concepts effectively to non-technical audiences.
• Ensure adherence to enterprise AI governance standards and ethical principles.

Requirements

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• 5+ years in product management with a focus on AI or cloud-based solutions.
• Hands‑on experience with Microsoft Azure services.
• Familiarity with Azure AI Services and prompt engineering.
• Strong understanding of microservices architecture and REST APIs.
• Knowledge of MLOps and machine learning frameworks.

Benefits

• 100% remote work flexibility from anywhere in LATAM.
• Full‑time contract position with a 6‑month duration.
• Competitive salary based on experience.
• Opportunity to work with cutting‑edge AI technologies.
• Dynamic and collaborative work environment.

Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.