• You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. • This includes working on custom software related to scheduling GPU resources on kubernetes. • Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. • You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry. • Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. • Evaluating system failures and improving services based on a well-defined incident management process.

Role Description Legal processes in Germany and Europe are still slow, fragmented, and deeply offline — notarizations, company formations, registrations, certified translations, business addresses, and more. Beglaubigt is rebuilding this infrastructure from the ground up: digital-first, API-ready, and designed to operate at internet speed. Backed by Y Combinator, we process thousands of cases per year and work with banks, platforms, and service providers across Europe. - You will work directly with the founders on growth, marketing operations, and revenue-driving initiatives. This is not a pure “marketing internship.” It is a founder-side growth operator role. - Support performance marketing initiatives and experiments - Analyze funnel metrics, cohorts, and conversion drivers - Optimize lead generation across channels (e.g., LinkedIn) - Maintain and improve CRM structures (HubSpot) - Support automation workflows (e.g., Make) - Prepare dashboards, reports, and decision materials - Identify bottlenecks in the customer journey - Help turn data into actionable growth initiatives Qualifications - You think in funnels and full customer journeys – not isolated campaigns - You work data-driven and form hypotheses before you execute - You ship fast, measure results, and iterate based on what you learn - You feel comfortable in an environment with ambiguity and shifting priorities - You communicate clearly, concisely, and to the point - Measurable outcomes aren't a buzzword for you – they're what drives you Requirements - A background in business, economics, marketing, or a related field - Experience in performance marketing or growth projects - First exposure to CRM systems (e.g., HubSpot) - An understanding of automation tools (e.g., Make, Zapier) - Experience with lead generation platforms (e.g., LinkedIn Sales Navigator) - Initiative that shows in your own projects, ventures, or leadership roles - A degree from a top university (e.g., HSG, WHU, TUM, LMU) is a plus, but not a must - Fluent in German and English Benefits - Direct exposure to founder-level growth decisions - Hands-on experience building a real marketing engine - High ownership and steep learning curve - Workations and team offsites - A high-performance environment Company Description Wir sind beglaubigt – Europas erster digitaler Notar. Mit unserer innovativen Plattform bieten wir eine völlig neue Art der Notarisierung, die bequem, schnell und sicher digital erfolgt. Als Vorreiter in der Branche revolutionieren wir den Notariatsprozess und ermöglichen unseren Kunden, ihre Dokumente in nur wenigen Klicks zu beglaubigen – ganz ohne Bürokratie und lange Wartezeiten.

• Design, develop, deploy, and maintain Canton-based applications using DAML • Conduct software analysis, programming, testing, and debugging in a DAML-based platform. • Connect applications to environments, manage day-to-day configuration and operational troubleshooting across dev/test/prod • Implement integrations using ledger-facing APIs (e.g., JSON API or gRPC-based APIs) • Suggest alternative technical solutions to meet client requirements more efficiently, and/or with greater reusability

• You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. • This includes working on custom software related to scheduling GPU resources on kubernetes. • Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. • You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry. • Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. • Evaluating system failures and improving services based on a well-defined incident management process.