2 дня назад
Engineering Director - Ecommerce (All Genders) (AI)
163 600 - 199 900€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Director - Ecommerce (All Genders) (AI) (AdTech/MarTech): Leading the development and evolution of large-scale software capabilities for customer acquisition, retention, loyalty, pricing, customer data, and engagement with an accent on engineering strategy, scalable architecture, and operational maturity. Focus on AI-powered SDLC enhancements, improving reliability and observability, strengthening engineering ownership, and leading managers and architects across complex organizations.
Location: Munich, Germany; hybrid with 60% office and 40% home office. An option is available to work up to 20 days abroad in approved countries.
Salary: €163,600–€199,900 per year
Company
is a pet e-commerce company serving more than 12 million customers across Europe.
What you will do
- Define and lead the engineering strategy for the Acquisition & Retention area.
- Lead development and delivery of systems supporting customer acquisition, retention, loyalty, pricing, communications, customer data, and growth experiences.
- Improve engineering maturity across planning, architecture, quality, reliability, observability, incident management, and delivery execution.
- Drive adoption of AI-powered SDLC capabilities, including code generation, intelligent reviews, automated documentation, quality gates, and AI-assisted monitoring.
- Own OPEX and CAPEX planning, forecasting, and budget control while maintaining security, privacy, and compliance standards.
- Partner with Product, Design, Analytics, and Business teams; lead hiring, talent management, and leadership development across engineering.
Requirements
- 15+ years of software engineering experience and 7+ years managing large engineering organizations with engineering managers and architects.
- Experience defining and delivering technical strategy across AdTech, MarTech, Loyalty, Pricing, and Customer Data ecosystems.
- Experience improving engineering maturity in growing and complex organizations, including ownership models and engineering operating mechanisms.
- Strong architectural judgment and experience building scalable, reliable, and evolvable systems.
- Experience with AI and automation technologies that improve engineering productivity, such as generative AI tooling, automated QA, and AIOps.
- Strong product and business partnership, communication, judgment, and decision-making skills.
Nice to have
- Experience with analytics and social media platforms.
Culture & Benefits
- Hybrid working with 60% office attendance and 40% home office.
- Development opportunities, training, and career support.
- Wellbeing offers and subsidised transport or bike leasing.
- 20% discount across products.
- Multinational collaboration across offices in Munich, Madrid, Krakow, Wroclaw, London, and Vienna.
- Focus on equal opportunity, diversity, inclusion, transparency, ownership, and continuous improvement.
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