Requirements

• Several years of engineering leadership, including managing managers or leading three or more squads, with a track record of scaling impact through others
• Hands-on experience shipping and running recommendation, ranking, search or personalisation systems in production, with depth in real-time inference, model serving, feature pipelines, and experimentation in stacks such as Go, Python, Kubernetes, AWS, GCP, and event streaming
• Strategy and goal setting skills for turning fuzzy business problems and tribe goals into realistic multi-quarter roadmaps and aligning multiple stakeholders
• Proven people leadership including growing engineers into managers, attracting top talent, and managing performance at domain scale
• Delivery and operational excellence: measuring and improving domain delivery and technical KPIs without micromanaging, budgeting with senior leadership, and defining security approaches for production services
• Strong partnership and communication skills with Product, Data Science, Platform and Operations teams; fluent in English

Nice to haves

• Experience migrating legacy services to a unified shared platform across multiple brands or markets
• Familiarity with feature stores, vector databases, or large-scale A/B experimentation platforms
• Background in search, ranking, personalisation or relevance engineering within food delivery, e-commerce, or marketplaces
• Experience applying large language models (LLMs) and agentic tooling to engineering workflows and customer-facing products

What you'll be doing

• Leading engineering squads through managers using a delegation framework with clear priorities and shared success measures
• Co-owning domain vision and mission with your product counterpart, setting an 18-month direction aligned with tribe goals
• Growing and coaching engineering managers, hiring new talent, and collaborating with people partners on performance reviews
• Sponsoring migration from legacy recommendation services to a unified global platform emphasizing shared components, model reuse, and technical KPIs
• Ensuring cross-squad delivery stays on track by detecting blockers, escalating when needed, and optimizing delivery efficiency through metrics
• Managing domain operations with discipline including documented engineering practices, reliability, incident learning, budgeting, and timely resolution of security vulnerabilities

Perks and benefits

• Hybrid working model with face-to-face collaboration at Berlin campus two days a week
• 27 days holiday with additional days on 2nd and 3rd years of service
• Support for professional development including €1,000 educational budget, language courses, parental support, and access to Udemy Business platform
• Health and wellness programs including health checkups, meditation, and gym access
• Financial benefits such as Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life & accident insurance, and corporate pension plan
• Food benefits including digital meal vouchers and food vouchers
• Relocation assistance and resources for moving to Berlin
• Preparation support for interview process with common questions and answers provided