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· Uruguay

Chief Technology Officer (CTO) at LOi

As CTO, I define and execute the technology strategy for LOi, establishing the architectural blueprint, systems integration roadmap, and engineering team structure. Lead the technical specification and delivery of every product initiative, from platform development to cloud infrastructure provisioning. Conduct strategic technology vendor evaluations, quantifying the operational impact and engineering effort associated with third-party service adoption. Drive continuous innovation through systematic research into emerging technologies applicable to e-commerce, machine learning, and distributed systems.

Duties & Responsibilities

Core duties held during this position.

  • Define and execute technology strategy — align architecture decisions, team structure, and tooling investments with business objectives and growth targets
  • Identify and integrate emerging technologies — AI/ML pipelines, agentic workflows, LLM integration patterns, edge computing, and serverless architectures into production systems
  • Align technology investments with P&L impact — define build-vs-buy decisions, reduce operational cost through automation, and instrument ROI tracking across engineering initiatives
  • Operate and monitor system infrastructure — uptime SLAs, health checks, capacity planning, auto-scaling policies, and incident response procedures
  • Design QA pipelines and data protection frameworks — automated testing strategies (unit, integration, e2e), GDPR/HIPAA compliance controls, and data encryption at rest and in transit
  • Track engineering KPIs and budget execution — DORA metrics (deployment frequency, lead time, MTTR, change failure rate), cloud spend, and team velocity trends
  • Run continuous feedback loops with stakeholders to drive product iteration — synthesize qualitative input into actionable backlog items with measurable acceptance criteria
  • Articulate technology strategy to investors and partners — translate architecture decisions, scalability plans, and AI capabilities into business value narratives backed by technical metrics
  • Evaluate and negotiate with technology vendors — assess SLAs, API reliability, pricing models, data residency compliance, and integration complexity for third-party services
  • Bridge engineering and business — translate technical constraints into business tradeoffs, and translate business requirements into technical specifications non-engineers can validate
  • Identify gaps, ambiguities, and contradictions in requirements — propose alternatives with technical tradeoff analysis and guide teams to unblocked execution paths
  • Lead technical feasibility assessments — estimate complexity using story points and spike investigations, identify architectural risks, and propose phased delivery strategies
  • Own software delivery lifecycle — sprint capacity planning, dependency management, technical debt budgeting, and delivery predictability tracking
  • Evaluate and adopt emerging technologies — AI/ML frameworks, new runtime environments, build tools, and developer productivity platforms through structured PoC processes

Key Contributions & Achievements

Initiatives I personally led, co-led, or was directly accountable for.

  • Architected and built a proprietary e-commerce platform from first principles — encompassing technical specification, database modeling, API design, UI engineering, and payment integration
  • Led the mobile application initiative from concept through production — defining the architecture, technology selection, and cross-platform development strategy
  • Orchestrated a complete cloud infrastructure migration to AWS, redesigning the deployment topology for high availability, auto-scaling, and cost optimization
  • Integrated a comprehensive suite of AWS services including S3, CloudFront, Lambda, SES, SNS, SageMaker, Personalize, and Glue into the production ecosystem
  • Designed and implemented the complete user interface and interaction model across web and mobile, applying UX research methodologies and data-driven iteration
  • Developed and maintained a proprietary RESTful API layer serving as the integration backbone for all front-end clients, mobile applications, and third-party services
  • Developed a Progressive Web Application (PWA) with offline-first architecture, service worker caching strategies, and push notification capabilities
  • Engineered an AI-driven personalized product recommendation system leveraging Amazon SageMaker for model training, AWS Glue for ETL pipelines, and Amazon Personalize for real-time inference

Skills Stack

Competencies applied during this role.

  • Team Leadership

    8 years' experience
  • Project Management

    22 years' experience
  • Data Science & Analytics

    6 years' experience
  • Innovation Research & Application

    8 years' experience
  • Design Thinking

    6 years' experience
  • Strategic Planning

    22 years' experience

Technology Stack

Tools and technologies leveraged in this role.

Due to an active NDA with LOi, this technology stack cannot be disclosed.