Engineering Manager (AI)

TL;DR

Engineering Manager (AI): Leading the Maquina team to build and scale AI-powered customer service procedures with an accent on Retrieval Augmented Generation and autonomous agent workflows. Focus on driving technical direction, managing team delivery, and fostering high-performance engineering culture in Lisbon.

Location: Must be based in Lisbon, Portugal (Hybrid: 2+ days/week in office required)

Company

hirify.global provides customer experience software designed to simplify business complexity and power billions of meaningful interactions between brands and customers.

What you will do

• Lead, grow, and mentor a team of engineers through regular coaching, feedback, and career development.
• Partner with Product and Tech leads to plan and execute the AI procedures roadmap, from recommendation engines to autonomous agent execution.
• Manage end-to-end delivery including capacity planning, sprint health, and shipping cadence.
• Drive operational excellence through incident response and continuous process improvement.
• Foster a diverse and inclusive team culture focused on technical craft and psychological safety.
• Collaborate with global engineering leadership to align on dependencies and architectural decisions.

Requirements

• Minimum 2+ years of software engineering management experience, including hiring and performance management.
• Background as an individual contributor with the ability to participate in architectural discussions and code reviews.
• Proven experience delivering products in an Agile environment with clear delivery metrics.
• Strong collaboration skills with cross-functional stakeholders.
• Experience managing teams across different locations or time zones.
• Bachelor’s degree in Computer Science, Information Systems, or a related field.

Nice to have

• Familiarity with AI/ML-powered product development and language models.
• Experience with Ruby on Rails, TypeScript, cloud services, and microservice architectures.
• Strong understanding of Kubernetes, Kafka, and AWS ecosystems.

Culture & Benefits

• Hybrid work model with flexible arrangements and in-person collaboration.
• Opportunity to work on large-scale, high-impact AI products.
• Collaborative global environment with teams across Lisbon and Copenhagen.
• Culture that prioritizes learning, craftsmanship, and people development.