EU remote
Principal Engineer, Growth Mega Alliance (all genders)
About this role
The Role The Growth Mega Alliance (GMA) builds the platforms that power how HelloFresh acquires, converts, and retains customers across 18 markets and multiple brands, across five pillars: AdTech, Conversions, Payments, Communications, and Customer Value Optimization (CVO). As Principal Engineer, you are the technical visionary for these platforms. You define architectural direction across all five pillars, lead the most consequential cross-cutting initiatives, and raise the technical bar for the entire organization.
This is a hands-on leadership role - you code, review, and design alongside the senior and staff engineers who look to you as the technical lead. What You'll Do GenAI & Agentic Engineering Leadership Own GMA's GenAI strategy: identify the highest-leverage opportunities across all five pillars where AI/ML unlocks step-change outcomes, for both engineering productivity and customer-facing capabilities. Establish agentic development workflows — where specs drive AI-assisted code generation — and scale them from early adopters to standard practice.
Build the guardrails and reference architectures that enable squads to work AI-natively. Develop and articulate a clear point of view on how engineering teams need to evolve in skills, process, and culture to realize the gains that agentic tools make possible. Growth Platform Architecture Own the long-term technical architecture across GMA's five pillars: real-time personalization, experimentation at scale, AI/ML-driven automation, and cross-pillar data integrity.
Lead the most complex architectural decisions (shared identity schemas, experiment assignment, AdTech-to-Conversions signal loops, payment authorization flows) and drive migrations with large impact. Ensure GMA platforms integrate cleanly with internal infrastructure and meet reliability, latency, and observability requirements at a global scale. Experimentation & Personalization Define GMA's experimentation strategy and execution framework to optimize experimentation-based decision-making at scale.