Posted today · be early

Tech Manager AI

Trafilea

WorldwideremotePosted today

Skill Required

AI-EngineeringMachine-Learning-EngineeringEngineering-ManagementSoftware-ArchitectureTechnical-LeadAI-ManagerTech-ManagerTech-ManagementAI-ManagementEngineering-Manager-AI-PlatformTechnology-ManagerAI-Engineering-ManagementAIMicroservicesEngineeringautomationObservabilityLangChaindesigningsimilar)buildingdesignCI/CDCloudDesign PatternsMachine LearningAPIsGenerative AIAWSandCICDFulltime

Key highlights

100% Remote role
USD competitive salary
5+ years leading engineering teams
3+ years building and shipping AI/ML systems in production
Experience with AWS and cloud-based AI infrastructure
Build and lead a high-performance AI team (2–5 hires per quarter)

Role overview

Trafilea is a Consumer Tech Platform building an AI Growth Engine to power the next generation of consumer brands. We own and operate digitally native brands with a global D2C footprint, present in Walmart, Nordstrom, and Amazon. We're seeking a Tech Manager – AI to lead the team building production-grade AI systems that create measurable business impact, combining technical leadership, architecture, and people management to scale AI across our operations.

Responsibilities

Architect and scale AI systems in production (LLM agents, recommendation engines, personalization)
Design multi-agent workflows and AI microservices that operate at scale
Turn business problems into AI-driven solutions with measurable impact
Ship AI features that directly improve conversion, retention, and customer experience
Build and lead a high-performance AI team (2–5 hires per quarter)
Establish MLOps, CI/CD, monitoring, and scalable AI infrastructure

Requirements

5+ years leading engineering teams in high-performance, fast-paced environments
3+ years building and shipping AI/ML systems in production (LLMs, recsys, personalization, or similar)
Hands-on experience with LLMs, AI APIs, and frameworks (LangChain or similar)
Strong experience designing scalable architectures, microservices, and AI pipelines
Proven track record of delivering AI solutions tied to business impact (CVR, revenue, UX)
Experience with AWS and cloud-based AI infrastructure
Solid understanding of MLOps (deployment, monitoring, model lifecycle, performance)
Experience hiring, mentoring, and scaling engineering teams
Strong ability to connect technical decisions with business outcomes
Advanced English (global, remote team)