Data & AI Engineering Lead

At EX Squared LATAM , we are a digital transformation company focused on developing innovative, high-impact technology solutions that create real business value. We work with leading clients across global, regional, and local markets, fostering a collaborative, inclusive, and innovation-driven culture where every team member’s ideas matter.

We are looking for a Data & AI Engineering Lead to support a U.S.-based B2B SaaS company developing an AI-powered CRM platform for investment professionals.

This position will lead a unified Data Engineering and AI team, providing technical direction, people leadership, delivery ownership, and operational structure. The ideal candidate is a hands-on engineering leader with strong experience in data-intensive systems, backend architecture, and managing engineering teams in a fast-paced product environment.

This is not a purely managerial role. The selected professional will remain actively involved in architecture, code reviews, troubleshooting, technical decisions, and direct engineering contributions when needed.

Position Details

Employment Type: Full-time

Location: 100% remote within Latin America

Schedule: Significant overlap with U.S. Eastern Time business hours

English Level: Advanced English proficiency required (B2+/C1)

Responsibilities

Lead the technical execution of the unified Data and AI Engineering team, ensuring clear ownership of priorities, delivery commitments, quality, and results.

Establish and advance the team’s technical direction by evaluating architecture options, reviewing designs and pull requests, and guiding complex implementation decisions.

Ensure data-intensive systems meet high standards for data integrity, security, reliability, scalability, and maintainability.

Identify and reduce technical debt, recurring defects, architectural risks, and potential security vulnerabilities.

Remain hands-on through code reviews, troubleshooting, technical design discussions, and direct engineering contributions when appropriate.

Lead, mentor, and support engineers by providing actionable feedback, managing performance, balancing workloads, and promoting professional development.

Assess team capacity, identify overload risks, and redistribute work to support sustainable delivery.

Translate product and business priorities into clear technical workstreams, user stories, actionable tickets, and ownership assignments.

Assign engineering work based on each team member’s expertise, workload, task complexity, and business priority.

Own delivery effectiveness and quality, investigating recurring QA findings and implementing preventive improvements.

Coordinate closely with AI specialists to understand solution requirements, dependencies, and implementation risks.

Support data engineering initiatives involving data processing, transformation, integration, consistency, and the secure handling of customer information.

Collaborate with Product, Engineering leadership, and other stakeholders to clarify priorities and communicate technical trade-offs.

Communicate delivery status, blockers, incidents, changes, and technical risks clearly and proactively.

Recommend scalable process improvements while avoiding unnecessary bureaucracy.

Promote a culture of accountability, critical thinking, collaboration, continuous learning, and customer-focused engineering.

Requirements

At least 7–8 years of professional Software Engineering experience , including backend development, distributed systems, or data-intensive applications.

At least 3 years of hands-on Data Engineering experience , including data pipelines, ETL/ELT processes, transformations, integrations, and data quality.

At least 2–3 years of technical leadership experience as an Engineering Lead, Technical Lead, Engineering Manager, or similar role.

Proven experience managing or leading engineers, including mentoring, performanc