[Hiring] Data & AI Engineering Lead @EX Squared

Role Description

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.

Qualifications

• 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, performance feedback, delegation, workload management, and professional development.
• Strong programming experience, preferably with Python, applied to backend development, data processing, or automation.
• At least 4 years of experience with SQL and relational databases, including data modeling, database design, query optimization, and data integrity.
• Strong experience in software architecture and system design, particularly with scalable backend services, system integrations, and data-intensive applications.
• Experience leading end-to-end engineering delivery, including technical planning, backlog prioritization, task allocation, execution tracking, and quality assurance.
• Strong understanding of software engineering best practices, including code reviews, automated testing, secure development, and technical debt management.
• Practical understanding of AI/ML concepts and AI-powered applications, with the ability to collaborate effectively with specialized AI engineers.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with Git, CI/CD pipelines, containerization, and modern development workflows.
• Experience identifying and addressing risks related to reliability, security, data integrity, scalability, and performance.
• Ability to balance hands-on technical work with architecture, people leadership, and delivery responsibilities.
• Experience collaborating with Product Management and cross-functional stakeholders to translate business needs into actionable technical initiatives.
• Strong analytical thinking, problem-solving, decision-making, and organizational skills.
• Advanced English proficiency, with the ability to lead technical discussions with U.S.-based stakeholders.
• Ability to work independently, manage changing priorities, and take ownership of engineering outcomes.

Requirements

• Data models, pipelines, transformations, integrations, validation, consistency, and data quality.
• Relational databases, SQL, data integrity, database performance, and secure handling of customer records.
• APIs, service-oriented systems, backend architecture, scalability, reliability, and maintainable implementation patterns.
• Pull-request reviews, automated testing, secure development, technical debt management, and defect prevention.
• Technical planning, requirement decomposition, estimation, prioritization, and delivery tracking.
• AI-enabled workflows, AI integrations, and coordination with AI/ML specialists.
• Incident escalation, technical risk communication, quality monitoring, and continuous process improvement.
• Hands-on development experience with a modern backend or data engineering language.

Preferred Qualifications

• Experience working in a growth-stage startup or scaling B2B SaaS company.
• Experience with CRM platforms, investment technology, private equity, financial services, or other data-intensive business applications.
• Experience leading cross-functional initiatives involving Data Engineering and AI/ML teams.
• Exposure to production AI-powered features, AI integrations, or applied machine-learning workflows.
• Experience integrating teams or establishing engineering processes during periods of organizational growth.
• Experience with Python-based backend ecosystems and modern cloud environments.
• Demonstrated success improving engineering quality, reducing production defects, strengthening security, or increasing team effectiveness.

Eligibility

This opportunity is available to candidates who are currently located and legally able to work remotely from an approved country in Latin America. Candidates must be able to maintain substantial overlap with U.S. Eastern Time business hours.