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The CVO Tribe CVO owns two of HelloFresh's largest economic levers: benefit optimization and pricing . The tribe uses machine learning, personalization, and lifetime-value prediction to replace manual, rules-based decisioning with data-driven systems. The engineering org is globally distributed across Berlin, Warsaw, NYC, Boulder, and Toronto, and includes Frontend, Backend, Data, and ML Engineering, working closely with embedded Data Scientists. The work spans a genuinely mixed engineering profile: ML-heavy systems for benefit recommendation, personalization, and customer lifetime-value forecasting, alongside backend and distributed-systems work powering pricing infrastructure and subscription products at scale. As Senior Director, based in Berlin, you'll lead this full spectrum, setting technical strategy across ML, backend, and data disciplines and across time zones, without relying on daily co-location. What you'll do Lead an organization of 25-30 engineers, data scientists, and ML practitioners across Berlin, Warsaw, NYC, Boulder, and Toronto, through a layer of Engineering Managers and Staff Engineers reporting into you. Own ML strategy for benefit recommendation, personalization, and customer lifetime-value forecasting, as well as backend and distributed-systems strategy for pricing and subscription infrastructure. Drive the transformation of ways of working toward fully GenAI-native, cross-functional product teams, building on teams that already ship the majority of their code with AI assistance. Own reliability and operational excellence across both ML and backend systems: observability from model output through to customer-facing delivery, SLOs/SLIs, incident management, and MLOps practices such as retraining, rollback, and experiment tracking. Partner with Product, Data Science, Marketing, Finance, and adjacent engineering teams to align engineering priorities with business outcomes. Manage and develop Engineering Managers and Data Science Leads across disciplines and geographies, holding them accountable for team health, delivery, and engineering standards. What you'll bring Range across ML and backend engineering. You don't need to be hands-on expert in both, but you need credibility in each: enough ML depth to set direction on production ML systems and partner effectively with Data Science, enough distributed-systems depth to be a trusted partner on pricing infrastructure and subscription products. Proven leadership of globally distributed teams across multiple countries and time zones, without daily co-location. Comfortable with regular travel and bridging US and European hours. Deep ML engineering expertise , including feature engineering, training/serving infrastructure, experimentation, and MLOps. Causal inference or uplift modeling experience is a plus. Distributed systems and backend depth , including scaling backend services and data pipelines in revenue-sensitive, high-throughput environments. Subscription or billing experience is a plus. AI-native leadership , with a track record of building or scaling AI-native engineering practices, not just adopting AI tools. Commercial and pricing domain fluency , or strong aptitude to build it quickly, including benefit optimization, lifetime-value forecasting, and pricing elasticity. Proven leadership at scale : 12+ years in software/ML engineering, with 5+ years managing Engineering Managers across more than one technical discipline and geography. Operational excellence mindset , with strong grounding in SRE and MLOps practices for systems with direct financial impact. Strong cross-functional communication , translating ML, data, and backend concepts into business terms and vice versa. Low ego, high ownership, and a bias toward clarity over complexity. What we offer Global collaboration across HelloTech's hubs in Berlin, Warsaw, NYC, Boulder, and Toronto. High-leverage, technically diverse work spanning ML, backend, data, and product engineering, with a direct line to business outcomes. A genuinely AI-native environment with a mandate to scale that approach further. Technical and engineering leadership in an autonomous, product-led setup, with end-to-end ownership from problem definition to production. Enjoy a discount on HelloFresh meal kits, delivered straight to your door. Build for the long-term with our company pension scheme (not available for interns/working students). Benefit from discounted memberships with Urban Sports Club and John Reed, yoga classes, and access to Headspace and Spill. Balance your work and life with flexible hours, Work From Home/Abroad options, and a home office setup budget. Receive childcare support (not available for interns/working students). Get a monthly allowance for the Deutschlandticket to support sustainable commuting. Embrace "Learning Never Stops" with access to internal trainings and a central L&D budget (remove for interns). Work from a modern, comfortable office in Berlin-Kreuzberg and enjoy social events like team outings, Friday beers, and company runs. Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences, so even if you don't tick every box but think you'd thrive in this role, we'd really like to hear from you.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.