# Principal Engineer, Growth Mega Alliance (all genders) at HelloFresh > Germany · Principal · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Ahellofresh%3A8173405 (read 2026-11-03). ## Facts (observed) - Company: [HelloFresh](https://alderhq.app/companies/hellofresh) - Location text: Berlin, Berlin, Germany; Berlin, Germany - Where it can be done from (inferred): Germany (evidence: "Location: Berlin, Berlin, Germany; Berlin, Germany") - Posted: 2026-09-18 (47 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-03 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://careers.hellofresh.com/global/en/job/8173405?gh_jid=8173405 - Skills listed (inferred): TypeScript, Python, Go, Kotlin, Kafka, AWS, LLMs, Distributed systems ## Pay and sponsorship - Posted pay: not posted - H-1B filings at this company for similar roles, FY26: 1 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) ### 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. - Own the data path from customer event to business decision: instrumentation standards, identity resolution, attribution windows, and signal quality. ### Technical Strategy & Cross-Alliance Collaboration - 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. - Partner with Intelligent Platforms, Consumer, and Operations Mega Alliances to drive shared architectural standards and prevent fragmentation. ### Mentorship & Engineering Culture - 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. - Champion AI-native development workflows, TDD, DDD, and DevSecOps. Set the written communication standard through your design docs and architectural decision records. ### What You'll Bring ### GenAI & Agentic Engineering - 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. - 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. ### Growth Domain Expertise - Deep familiarity with at least two of: AdTech / paid media infrastructure, funnel optimization, payment orchestration, CRM and lifecycle communications, or pricing and incentive optimization. - 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. ### Technical Depth - ~10+ years in software engineering, with ~5+ years at principal level in a high-growth, cloud-native environment. - Expert in distributed systems, microservices, and event-driven patterns (Kafka). Deep AWS experience. Strong proficiency in Go, Kotlin, Python, or TypeScript. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ahellofresh%3A8173405 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.