DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA—the fastest-growing Commerce OS in Latin America—ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify integral payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. DEUNA is looking for an Engineering Manager to lead our AI/ML engineering team — the group building the intelligent systems behind payment routing optimization, authorization rate improvement, and our AI-powered digital workforce products. You will manage a team of engineers (currently ~7-8) spanning ML, backend, and platform work, while staying close enough to the technical details to guide architecture decisions, unblock your team, and represent the group's roadmap to product and leadership.
This is a hands-on management role: you won't be writing production code day-to-day, but you need enough depth in ML systems, backend services, and AI/LLM workflows to make good calls on architecture, review technical approaches, and coach engineers through hard problems. You'll own delivery for the team — scoping, costing, and sequencing initiatives — while building a low-tech-debt, high-quality engineering culture.
8+ years in software engineering, including 2-3+ years in a people management role leading engineers.




~ You have significant experience building and shipping backend and/or ML systems at scale, ideally with exposure to fintech, payments, or another regulated, latency-sensitive domain.
~ You have hands-on familiarity with modern AI/ML systems: model training and serving, LLM-powered workflows (agents, RAG, orchestration), or similar — enough to have a real technical conversation with your team and challenge their thinking when needed.
~ You're comfortable in a fast-moving startup environment — priorities shift, and you can re-scope and re-communicate without losing the team's trust.
~ Manage and grow a team of AI/ML and platform engineers, including hiring, performance development, and career growth.
Set the engineering bar for the team: code standards, testing strategy, and CI/CD practices.
Guide architecture for ML model lifecycle work (training, evaluation, monitoring, retraining) and LLM-powered workflows (agent orchestration, RAG pipelines, vector DB integrations).
Ensure the team's AWS infrastructure, CI/CD, and observability practices (dashboards, tracing, on-call runbooks) meet a high bar.
Apply sound judgment on PCI-DSS and data-handling requirements across anything touching payment data.
Represent the AI/ML engineering team's progress and blockers to leadership.
Backend / Platform: Go, Python, gRPC & REST APIs, event streaming, distributed systems
Cloud & Infra: AWS (ECS/EKS, Terraform, RDS/Aurora, S3), hybrid/on-prem deployment
AI / ML Stack: PyTorch/TensorFlow, XGBoost/scikit-learn, MLflow/W&B;, model monitoring
LangGraph/LangChain, RAG, vector DBs, prompt engineering, LLM evaluation
Prometheus/Grafana, OpenTelemetry, structured logging, on-call runbooks
Remote work from anywhere
Economic support for health insurance, internet and cell phone line

📌 Engineering Team Leader (Ciudad de México)
🏢 DEUNA
📍 Ciudad de México