Analyze and interpret complex engineering, delivery, AI usage, and business outcome data.

Design, validate, and improve analytical models, metrics, and reporting frameworks.

Investigate data discrepancies and trace metrics from source systems to customer-facing outputs.

Identify and define new product insights, dashboards, features, and analytical capabilities.

Collaborate with engineering teams using AI-assisted development workflows.

Review generated code, queries, and logic to ensure accuracy and business relevance.

Evaluate product features from both technical and customer value perspectives.

Communicate findings, recommendations, and trade-offs to technical and non-technical stakeholders.

Work closely with engineering leadership to improve decision-making through data-driven insights.

Contribute directly to product evolution by translating analytics into actionable functionality.

Combine SQL, Python, analytics, and product strategy in one role.Drive engineering insights, AI innovation, and product decisions.
Strong expertise in SQL, analytical data modeling, data marts, schemas, joins, grain, and derived metrics.





Solid understanding of software development practices, SDLC methodologies, GitHub, APIs, testing, and debugging.

Experience working on software products as a data or analytics contributor.

Ability to translate complex data into business and product recommendations.

Strong problem-solving and quantitative reasoning skills.

Experience collaborating with cross-functional stakeholders and communicating technical concepts effectively.

Comfortable working autonomously in ambiguous environments and driving initiatives independently.

Exposure to AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or similar platforms is highly desirable.

Experience with engineering productivity metrics, DORA metrics, or product-focused analytics is a strong plus.

Advanced English proficiency (C1+) with the ability to present insights to international stakeholders.

Based in Mexico.

Competitive salary and benefits in line with Mexican labor law.

100% remote work (WFH)

📌 Product Manager (Ciudad de México)
🏢 Michael Page
📍 Ciudad de México