Engineering Director - Ecommerce (All Genders)

Zooplus

Nonfood

80331 München, Bayern - Deutschland

Director

Hybrid

Experteer Overview

In this role you lead the Engineering function for Acquisition & Retention, building large-scale software that drives new customer acquisition and sustained engagement. You’ll unify architecture, ownership, and delivery across loyalty, pricing, communications, and growth experiences to deliver business impact. You will shape an AI-enabled engineering strategy, improve reliability and observability, and foster a high-performing, cross‑location engineering culture. This is a chance to scale systems and teams in a multinational, pet‑focused company with a clear growth trajectory.

Compensation / Benefits

hybrid working (60% office, 40% home)
20 days abroad in approved countries
development opportunities and training
wellbeing offers
subsidised transport or bike leasing
20% employee discount across products

Responsibilities

Define and drive the engineering strategy for Acquisition & Retention aligned with business priorities
Increase scalability and simplicity of systems powering loyalty, pricing, communications, data, and growth experiences
Elevate engineering maturity across planning, execution, architecture, quality, reliability, observability, and incident management
Leverage AI and automation to boost developer productivity and operational efficiency
Balance short-term delivery with long-term technical sustainability and maintainability
Incorporate emerging technologies and AI-enabled delivery models into the engineering strategy
Ensure architectural integrity and scalable systems across domains
Implement metrics for productivity, cycle time, MTTR, deployment frequency, and quality KPIs
Own OPEX and CAPEX planning, forecasting, and budget discipline
Establish security, privacy, and compliance standards across engineering operations
Partner with Product, Design, Analytics, and Business teams to deliver high-impact experiences
Lead talent management, hiring, and leadership development in engineering
Foster a culture of innovation, transparency, ownership, and continuous improvement
Own end-to-end execution and align delivery with business outcomes
Promote AI-powered SDLC enhancements, automated reviews, documentation, and quality gates
Ensure reliability, scalability, and observability through AI-assisted monitoring
Mentor engineering leaders and architects to build high-performing teams
Encourage cross-location and cross-domain collaboration

Key requirements

15+ years of software engineering experience
7+ years managing large engineering organizations with managers and architects
Experience defining and delivering technical strategy across AdTech, MarTech, Loyalty, Pricing, and Customer Data ecosystems
Strong product and business partnership and effective communication for complex problems
Ability to operate across organizational boundaries and lead through ambiguity
Strong architectural judgment for scalable and evolvable systems
Experience with AI and automation technologies that enhance productivity (e.g., generative AI tooling, AIOps)
Experience leveraging analytics and social media platforms is beneficial but not core

strong communication and judgment cross-functional collaboration leadership and mentorship AI and automation in software delivery (AI-powered SDLC, automated QA, AIOps)observability and incident management scalable system architecture

Description

In this role you lead the Engineering function for Acquisition & Retention, building large-scale software that drives new customer acqui…

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