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About the Role
The CVO Tribe at HelloFresh owns benefit optimization and pricing, leveraging machine learning, personalization, and lifetime-value prediction to replace manual decisioning with data-driven systems. This role involves leading a globally distributed engineering organization across multiple disciplines and time zones, setting technical strategy, and driving the adoption of AI-native practices.
Responsibilities
- Lead an organization of 25-30 engineers, data scientists, and ML practitioners across multiple global locations.
- Own ML strategy for benefit recommendation, personalization, and customer lifetime-value forecasting.
- Own 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.
- Own reliability and operational excellence across ML and backend systems, including observability, SLOs/SLIs, incident management, and MLOps.
- Partner with Product, Data Science, Marketing, Finance, and adjacent engineering teams to align priorities with business outcomes.
- Manage and develop Engineering Managers and Data Science Leads, ensuring team health, delivery, and engineering standards.
Requirements
- Credibility in both ML and backend engineering, with depth to set direction and partner effectively.
- Proven leadership of globally distributed teams across multiple countries and time zones without daily co-location.
- Deep ML engineering expertise, including feature engineering, training/serving infrastructure, experimentation, and MLOps.
- Distributed systems and backend depth, including scaling backend services and data pipelines in high-throughput environments.
- AI-native leadership with a track record of building or scaling AI-native engineering practices.
- Commercial and pricing domain fluency, or strong aptitude to build it quickly.
- 12+ years in software/ML engineering, with 5+ years managing Engineering Managers across multiple technical disciplines and geographies.
- Operational excellence mindset with strong grounding in SRE and MLOps practices for systems with direct financial impact.
- Strong cross-functional communication skills, translating technical concepts into business terms and vice versa.
- Low ego, high ownership, and a bias toward clarity over complexity.
Skills
- Machine Learning
- Personalization
- Lifetime-value prediction
- Data-driven systems
- ML strategy
- Benefit recommendation
- Customer lifetime-value forecasting
- Backend systems
- Distributed systems
- Pricing infrastructure
- Subscription products
- GenAI-native practices
- Reliability
- Operational excellence
- Observability
- SLOs/SLIs
- Incident management
- MLOps
- Retraining
- Rollback
- Experiment tracking
- Feature engineering
- Training/serving infrastructure
- Causal inference
- Uplift modeling
- Scaling backend services
- Data pipelines
- Subscription experience
- Billing experience
- AI-native engineering
- Commercial domain fluency
- Pricing domain fluency
- Benefit optimization
- Pricing elasticity
- SRE practices
- Cross-functional communication
Location
- Berlin
- Warsaw
- NYC
- Boulder
- Toronto
Work Type
- Globally distributed
- Remote
- Hybrid
- Flexible hours
- Work From Home/Abroad
Experience Level
- Senior Director
- 12+ years in software/ML engineering
- 5+ years managing Engineering Managers
Benefits
- Discount on HelloFresh meal kits
- Company pension scheme
- Discounted memberships with Urban Sports Club and John Reed
- Yoga classes
- Access to Headspace and Spill
- Flexible hours
- Work From Home/Abroad options
- Home office setup budget
- Childcare support
- Monthly allowance for the Deutschlandticket
- Access to internal trainings
- Central L&D budget
- Modern office in Berlin-Kreuzberg
- Social events
About the Company
- 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.
- 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.
- HelloFresh is looking for individuals who will make the company better, valuing diverse experiences.
Equal Opportunity
- 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.