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Tech Manager AI

🌏 Worldwide

Management

AWS

Marketing

Machine Learning

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Amazon

UI/UX

Devops

Tech Manager AI

from 🌏 Worldwide

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.

With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.

We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

🚀 We build and scale our own brands.

🦾 We invest in AI and automation like few others in eCom.

📈 We test fast, grow fast, and help you do the same.

🤝 Be part of a dynamic, diverse, and talented global team.

🌍 100% Remote, USD competitive salary, paid time off, and more.


Job Responsibilities

This is abuilder role, not a manager role.

You will:

  • Architect and scaleAI systems in production (LLM agents, recommendation engines, personalization)

  • Designmulti-agent workflows and AI microservices that operate at scale

  • Turn business problems intoAI-driven solutions with measurable impact

  • Ship AI features that directly improveconversion, retention, and customer experience

  • Build and lead ahigh-performance AI team (2–5 hires per quarter)

  • EstablishMLOps, CI/CD, monitoring, and scalable AI infrastructure

  • 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 withLLMs, AI APIs, and frameworks (LangChain or similar)

  • Strong experience designingscalable architectures, microservices, and AI pipelines

  • Proven track record of deliveringAI solutions tied to business impact (CVR, revenue, UX)

  • Experience withAWS and cloud-based AI infrastructure

  • Solid understanding ofMLOps (deployment, monitoring, model lifecycle, performance)

  • Experiencehiring, mentoring, and scaling engineering teams

  • Strong ability to connecttechnical decisions with business outcomes

  • Advanced English (global, remote team)

by @maxrusakovic