Role Description We're building out Futurae's AI function and looking for a Data Engineer Intern to own a high-impact project from day one: bridging the gap between our business data and actionable insights. You will be the primary owner of our HubSpot data integration, ensuring that critical CRM data flows seamlessly into our analytics stack. Concretely, your mission is to automate the ingestion of HubSpot data into BigQuery and expose it via Metabase, giving our teams the reliable, structured data they need to drive company growth. This is a 6-month internship (starting either July or September), suited for someone currently pursuing or recently completing a degree in a technical field. - Build a Python-based service to pull data from the HubSpot API - Develop and maintain ingestion pipelines to move data reliably into BigQuery - Transform raw API responses into clean, structured tables following our internal data layers - Connect your datasets to Metabase and build foundational dashboards for internal stakeholders - Write clear technical guides and data dictionaries for the new integrations Qualifications - Currently enrolled in or recently completed a degree in Computer Science, Data Engineering, Mathematics, or a related technical field - Good communication skills in English - Solid SQL skills: You can write clean queries to join and aggregate data - Good Python proficiency with an interest in working with REST APIs - Builder mindset: excited to take a project from zero to one and see it through to completion - Curious & Persistent: You enjoy digging into data to understand how it’s structured and why Requirements - Basic familiarity with Google Cloud Platform (BigQuery) or BI tools (Metabase, Tableau, Looker or similar) - Experience with data pipeline tooling (dbt, Airflow, or similar) - Interest in cybersecurity, fintech, or B2B SaaS Benefits - Work with purpose and take ownership in an international team - Grow with a company where your ideas matter - Freedom to work remotely or at our Zurich HQ Company Description At Futurae, we’re on a mission to redefine secure authentication and fraud prevention through seamless, user-friendly solutions. Based in Switzerland, we develop cutting-edge cybersecurity products that combine advanced technology with a strong focus on user-centric design. We serve leading organizations in the financial services and insurance sectors and are actively expanding into new international markets. Our vision is to become the global leader in secure, frictionless digital authentication — helping businesses build trust and thrive in a connected world.

Role Description Du automatisierst und optimierst unsere E-Commerce-Prozesse mit KI und trägst aktiv dazu bei, manuelle Abläufe in skalierbare, automatisierte Systeme zu überführen. Dabei arbeitest du an Lösungen, die direkt im Unternehmen eingesetzt werden und einen spürbaren Impact auf unsere täglichen Prozesse haben. - Von manuell zu automatisiert - Von Einzellösungen zu skalierbaren Workflows Qualifications - Interesse an KI, Automation und digitalen Prozessen - Denkst in Systemen und Lösungen - Selbstständig, hands-on, umsetzungsstark - Google Workspace (v.a. Sheets/Excel) - Nice to have: Make / Shopify / APIs / Datenverständnis Requirements - Automatisierung von Bestell-, Abwicklungs- und Datenprozessen - Aufbau von Workflows mit AI-Tools, Make, APIs - Optimierung der Systeme rund um Shopify & Channable - Entwicklung von Lösungen, die Zeit sparen und Fehler reduzieren - Analyse und Automatisierung operativer Prozesse (z. B. Support, Administration oder Logistik) - Anbindung von Retail-Partnern wie MediaMarkt und BRACK - Automatisierung von Produkt-, Preis- und Bestelldaten - Aufbau neuer Integrationen und Ablösung manueller Prozesse - Einsatz von KI zur Prozessautomatisierung - Testing neuer Tools und Ansätze - Umsetzung eigener Projekte mit direktem Impact - Automatisierung von Online-Marketing-Prozessen (Phase 2 - Optional) - Nutzung von Daten für Kampagnen, Listings und Content - Einsatz von AI zur Performance-Optimierung - Zusammenarbeit mit Marken wie Ledger (Bonus: Krypto & Business Exposure) - Einblick in Krypto-Verwahrung (Self-Custody) - Teilnahme an Partner- und Lieferantenterminen Benefits - Eigene Projekte statt Zuarbeit - Direkter Impact auf reale Geschäftsprozesse - Hohe Lernkurve in AI & E-Commerce - Remote-first & flexible Arbeitsweise - Möglichkeit für punktuelle Treffen und Workshops vor Ort im CH Mittelland - Einblick in das operative Tagesgeschäft (z. B. Support, Administration, Logistik etc.) - Viel Eigenverantwortung und die Möglichkeit, die Rolle aktiv mitzugestalten - Startpensum: ca. 40% - Startdauer: zunächst ca. 3 Monate - Pensum, Verantwortung und Dauer können je nach Fortschritt, Bedarf und Eigeninitiative ausgebaut werden - Bewerbungen werden ausschliesslich über unser digitales Bewerbungsformular akzeptiert.

• Strategic sparring partner for hospital clients • Conduct process and use-case audits • Facilitate C-level workshops • Responsible for expansion ARR within the customer portfolio • Close collaboration with the implementation team

• Own and evolve the enterprise activation AI strategy, with accountability for AI eco-system governance, platform, tool, and model activation, and end-to-end value optimization • Assess, shape the existing AI vendor and platform landscape to identify value optimization opportunities aligned to business priorities, enterprise constraints, and security requirements • Define pragmatic governance, operating models, and guardrails that enable responsible AI adoption without creating unnecessary friction • Establish frameworks to measure usage, risk, and optimization opportunities across our enterprise landscape and our workforce • Monitor emerging AI technologies, market developments, and vendor roadmaps to inform strategic decisions and maintain competitive advantage • Partner with business leaders to enable decisioning and to connect this to enterprise IT execution • Act as a trusted advisor rather than a reactive order taker – “you ask yourself; how could we make this easier and better for our colleagues going forward” • Work within, and orchestrate across, IT and cybersecurity teams to reduce unnecessary friction while working within a risk tolerant framework appropriate to address the business needs • Design and promote pragmatic AI governance models that drive low process friction and high AI adoption • Balance speed, innovation, and security in decision-making • Drive cultural change within IT toward a consultative, business-enabling mindset • Challenge legacy control-driven behaviors that limit innovation • Influence stakeholders across multiple levels without relying solely on authority • Educate business and IT teams on AI opportunities, risks, and mitigation strategies