Senior Director of Machine Learning Engineering

United States Digital Space LLC; Berlin; Vor Ort; EUR 140.000 - 210.000; Vollzeit

Zusammenfassung

The CVO Tribe in Berlin seeks a Senior Director to lead an engineering and data science organization spanning Berlin, Warsaw, NYC, Boulder, and Toronto. You will set technical strategy across ML, backend, and data disciplines and align with product goals.

You will shape ML for benefit optimization, pricing, and customer lifetime value, drive GenAI-native teams, ensure reliability, and partner with Product, Marketing, Finance, and other stakeholders to deliver measurable business impact.

Qualifikationen

• Credible ML depth to guide production ML systems and collaborate with Data Science.
• Strong distributed-systems knowledge to support pricing infrastructure.
• Proven leadership of globally distributed teams across time zones.
• Experience building AI-native engineering practices and teams.
• Commercial and pricing domain fluency or quick aptitude to learn.
• 12+ years in software/ML engineering; 5+ years managing Engineering Managers.
• Operational excellence with SRE and MLOps for financially impactful systems.
• Excellent cross-functional communication translating tech to business terms.
• Low ego, high ownership, and a bias toward clarity over complexity.

Aufgaben

• Lead 25-30 engineers, data scientists, and ML practitioners across multiple cities.
• Own ML strategy for benefit recommendation, personalization, and LTV forecasting; pricing infra strategy.
• Drive GenAI-native, cross-functional product teams and evolve ways of working.
• Own reliability and operating excellence across ML and backend systems (SLOs/SLIs, incident mgmt, retraining).
• Partner with Product, Data Science, Marketing, Finance, and adjacent engineering teams.
• Mentor Engineering Managers and Data Science Leads across geographies.

Kenntnisse

ML engineering

Distributed systems

Leadership

Cross-functional communication

AI-native leadership

Pricing domain fluency

MLOps

SRE mindset

Global team leadership

Ownership & clarity

Jobbeschreibung

The CVO Tribe

CVO owns two of the company'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 the company 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.
• 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 the company 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.