{"active":true,"apply_url":"https://careers.hellofresh.com/global/en/job/8173405?gh_jid=8173405","company":{"claimed":false,"name":"HelloFresh","slug":"hellofresh","website":"https://www.hellofresh.com"},"countries":["DE"],"employment_type":null,"first_seen_at":"2026-10-15T12:22:23Z","getwork_url":"https://getwork.dev/jobs/gh-hellofresh-8173405/","id":"gh-hellofresh-8173405","injection_flag":false,"last_seen_at":"2026-10-28T15:30:09Z","location":"Berlin, Berlin, Germany","published_at":"2026-09-18T09:31:59Z","regions":["europe"],"remote":"onsite","role_family":"software","salary":null,"seniority":"principal","stack":["kafka","aws"],"stack_mentioned":["go","typescript","python","kotlin"],"title":"Principal Engineer, Growth Mega Alliance (all genders)","untrusted_description":"The Role\n\nThe 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).\n\nAs 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.\n\nWhat You'll Do\n\nGenAI & Agentic Engineering Leadership\n\n- 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.\n\n- 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.\n\n- 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.\n\nGrowth Platform Architecture\n\n- 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.\n\n- 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.\n\n- Ensure GMA platforms integrate cleanly with internal infrastructure and meet reliability, latency, and observability requirements at a global scale.\n\nExperimentation & Personalization\n\n- Define GMA's experimentation strategy and execution framework to optimize experimentation-based decision-making at scale.\n\n- Own the data path from customer event to business decision: instrumentation standards, identity resolution, attribution windows, and signal quality.\n\nTechnical Strategy & Cross-Alliance Collaboration\n\n- Define GMA's multi-year technical vision and communicate it with the precision engineers need and the clarity executives can act on. Represent GMA in company-wide programs.\n\n- Partner with Intelligent Platforms, Consumer, and Operations Mega Alliances to drive shared architectural standards and prevent fragmentation.\n\nMentorship & Engineering Culture\n\n- Coach and grow Staff and Senior Engineers across all five pillars. Foster engineering excellence through rigorous design review, strong observability practice, and honest post-incident learning.\n\n- Champion AI-native development workflows, TDD, DDD, and DevSecOps. Set the written communication standard through your design docs and architectural decision records.\n\nWhat You'll Bring\n\nGenAI & Agentic Engineering\n\n- Practical, hands-on experience with AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot, OpenCode) in production or near-production environments — not just experimentation.\n\n- Experience integrating GenAI into customer-facing products or internal business processes at scale, with a clear point of view on the team and cultural changes required to realize the productivity gains.\n\nGrowth Domain Expertise\n\n- Deep familiarity with at least two of: AdTech / paid media infrastructure, funnel optimization, payment orchestration, CRM and lifecycle communications, or pricing and incentive optimization.\n\n- Fluent in growth domain constraints: PSP behavior, consent and privacy requirements across markets, deliverability limits, attribution windows, and incrementality measurement. Experience in a multi-market subscription or e-commerce business preferred.\n\nTechnical Depth\n\n- ~10+ years in software engineering, with ~5+ years at principal level in a high-growth, cloud-native environment.\n\n- Expert in distributed systems, microservices, and event-driven patterns (Kafka). Deep AWS experience. Strong proficiency in Go, Kotlin, Python, or TypeScript.\n\n- Track record of designing and operating large-scale, multi-region systems. Comfortable doing hands-on architectural reviews and solving critical bottlenecks directly.\n\n- Working knowledge of experimentation design and analysis; able to work directly with data (SQL, BI tooling) and trace the full signal chain from instrumentation to business metric.\n\nWays of Working\n\n- Exceptional written communication — your documents make complexity smaller, not larger.\n\n- Able to influence without authority; direct, low-ego, and comfortable disagreeing with senior stakeholders while keeping the relationship intact.\n\n- Fluent English. German is a bonus.\n\nWhat Success Looks Like\n\n3 months — You have mapped GMA's critical architectural dependencies and GenAI opportunities, conducted design reviews across multiple pillars, and established a point of view on the highest-leverage technical bets for the year.\n\n6 months — Your architectural direction is reflected in roadmaps. GMA's first AI-native workflows are in production. At least one cross-pillar initiative is running under your technical ownership with clear instrumentation.\n\n12 months — GMA's platforms are measurably more scalable, observable, and AI-capable. Engineering standards are set and followed. You are the person leaders across HelloTech bring their hardest growth-engineering problems to.\n\nWhy Work With Us\n\n- Make an Impact: GMA's platforms touch every customer HelloFresh acquires and every euro it collects. Your decisions move top-line numbers at a company that has changed the way millions of people eat.\n\n- Real Scope: You own technical direction, make consequential architectural calls, and ship things that matter — at a scale that makes the problems genuinely hard.\n\n- AI at the Frontier: You will have the mandate, resources, and organizational support to lead AI-native engineering transformation — not advocate for it from the sidelines.\n\n- Direct Access: You work daily with engineering, product, and business leadership, with the visibility and accountability that implies.\n\n- Learn & Grow: Annual learning budget, HelloFresh Academy, and internal mobility across a large, technically ambitious engineering organization.","url":"https://careers.hellofresh.com/global/en/job/8173405?gh_jid=8173405"}