Director of Engineering, Operations PlanningNew$174K
The opportunity
The Operations Data and Decisions Tribe at HelloFresh is responsible for driving operations planning by creating high quality, reusable data assets, data science models, and algorithmic solutions. Additionally, the tribe.
What you'll do
Lead an engineering squad comprising 10-15 engineers, managing Engineering: Managers and Staff Engineers across Warsaw, Berlin, & USA.
Own the GenAI transformation: define and drive a concrete roadmap for becoming a genuinely AI-native engineering organisation: from AI-assisted development and automated incident response, to agentic workflows and LLM-powered tooling embedded in day-to-day operations.
Own the availability and reliability of HelloFresh's planning infrastructure: — drive SRE practices, incident management, SLOs/SLIs, and on-call maturity across high-throughput systems serving multiple markets.
Set technical direction across Python, GoLang, PostgreSQL, Kafka, React, and: React Native services on AWS, ensuring systems.
Partner with Product, Operations, Marketing, and Procurement providers to: align engineering priorities with business outcomes.
Manage , coach, and develop Engineering Managers & Engineers: holding them accountable for team health, delivery, and engineering standards.
What they're looking for
- Navigate organisational change with maturity, keeping teams focused and motivated through evolving priorities.
- AI proficiency and advocacy. Hands-on familiarity with AI technologies and a: demonstrable track record of championing their adoption — whether through AI-assisted development workflows, LLM-powered tooling, or driving team-wide GenAI-native ways of working.
- Deep Technical Expertise. Mastery of a broad range of technical skills: relevant to Operations Planning — including planning systems, data science modeling, data engineering, database systems, distributed computing, and backend development frameworks. Hands-on familiarity with full stack application development.
- Systems Thinking. The ability to understand complex systems holistically,: recognising how components interact and impact each other, and leveraging this to design scalable, resilient solutions in a high-throughput environment where downtime means direct revenue loss.