Director of Engineering - AI

Overview

Director of Engineering — Remote (EU)

My client is a fast-growing, product-led tech company building intuitive tools for teams. They’re hiring a senior engineering leader to own delivery, scale their platform, and quietly accelerate new AI-powered capabilities across the product. This role is fully remote (EU timezones only).

Why this role is exciting

You’ll shape the engineering org end-to-end : hiring, structure, processes and technical vision.

The product is mature enough to scale but still early-stage in machine learning / AI features — you’ll have real influence to define how AI becomes a reliable product differentiator (no hype : practical, user-focused ML / AI work).

High ownership : set roadmap trade-offs, introduce modern engineering practices, and drive measurable impact on user outcomes.

What you’ll own

Lead and grow an engineering team (hands-on leadership + strategic hiring and mentoring).

Own technical roadmap, architecture and delivery for a SaaS product used by distributed teams.

Partner with Product, Design and Data to turn business priorities into reliable, secure, and scalable systems.

Drive the introduction and productionisation of AI / ML-driven features — from prototyping through monitoring, evaluation and safe rollout.

Improve engineering KPIs : reliability, velocity, quality, and observability.

Ensure compliance with EU data protection and security expectations.

About you (what we’re looking for)

8+ years in engineering with at least 3 years in a senior leadership role (Head / Director / VP of Eng).

Strong track record scaling SaaS products and engineering teams.

Experience shipping features that touch data, analytics or ML / AI (you don’t need to be a research scientist — proven delivery of data-driven products is what matters).

Comfortable with cloud-native architectures, CI / CD, microservices or well-structured monoliths, and production monitoring.

Excellent stakeholder skills : you can represent engineering to execs, align cross-functional teams, and translate technical trade-offs into product outcomes.

Experience working remotely and managing distributed teams across EU timezones.

Fluent in English; EU-based residency required for this fully-remote role.

Nice-to-haves (not strict requirements)

Hands-on experience with ML model lifecycle (prototyping, model ops, A / B or rollout strategies).

Familiarity with privacy-first product design (GDPR-aware architectures).

Experience hiring senior engineering managers and building engineering culture.

What my client offers

Remote-first culture (EU hours) with flexible working.

A compact, high-impact environment where leadership decisions are visible and move the needle.

Budget for professional development, conferences, and hardware.

Competitive compensation package (salary + benefits / equity depending on seniority).

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