As a Product Manager for the AI Platform, you will play a foundational role in defining, scaling, and operationalizing Artificial Intelligen
AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R334 We welcome remote applicants located near our offices.
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provides an opportunity to build and develop strong practical data science skills while contributing to measurable business outcomes.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
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Entwirft und verantwortet Compute-Infrastruktur für große KI- und ML-Systeme inkl. verteiltem Training, und führt Architekturentscheidungen und Teams.
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt ML-Modelle in Produktion und überwacht deren Performance und Infrastrukturgesundheit.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
NRW erklären Bei IT.NRW geht es um mehr als nur einen Job.
Leitet die Entwicklung der digitalen SoC-Architektur für LLM-Inferenz-Chiplets und koordiniert dafür Design-, Verifikations- und Compiler-Teams.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
As a Product Manager for the AI Platform, you will play a foundational role in defining, scaling, and operationalizing Artificial Intelligence capabilities across the entire Scalable organization. You will lead the strategy to move from siloed AI solutions to a unified, compliant, and robust internal AI as a Platform offering. You will work closely with a dedicated cross-functional team of Data Scientists, AI Engineers and Software Engineers, acting as the key bridge between the technical development, internal domain teams, and regulatory stakeholders to ensure AI is integrated and leveraged effectively, securely, and ethically.
Key Responsibilities - Platform Strategy & Ownership: Define, prioritize, and own the strategic roadmap for our internal AI as a Platform, ensuring it provides robust, scalable, and easy-to-integrate services for all internal domain and product teams, enabling them to consume AI capabilities without requiring them to integrate with external APIs. - Identify Opportunities: Work in close collaboration with all internal domain and product teams to identify opportunities to employ AI capabilities, focusing on: - Client Experience: Enhancing core client-facing product functionality through predictive modeling and personalization. - Operational Efficiency: Improving internal system scalability, fraud detection, and overall operational performance. - Use Case Implementation: Drive the implementation of strategic AI use cases across the company. Ensure efficient implementation by aligning implementation timelines across all teams involved (AI platform, domain teams, mobile,.). - AI Compliance & Governance: Act as the key product driver for AI compliance, regulatory adherence, and ethical usage. Define our approach to ensure all models and data usage are secure and compliant with current and emerging data protection laws. - Go-to-Market (GTM) for AI Features: Support the planning, launch, and post-launch monitoring of new client-facing AI features and capabilities, ensuring smooth coordination across Product, Engineering, Data, Operations, and Compliance. - Team Collaboration & Product Leadership: Lead the product development process for the cross-functional AI Platform team, managing agile processes, backlogs, and planning sessions, and translating high-level business goals into actionable user stories for Data Scientists and ML/AI Engineers. - Data-Driven Vision: Leverage data analysis, user needs (internal and external), market trends, and insights from LLM/AI system outputs and trace analysis, including analysis of AI agent performance and user feedback, to continuously inform and evolve the AI Platform vision and product strategy.
Qualifications - Passion for digital products and a strong desire to help users improve their financial well‑being through clear, trusted, and AI‑enhanced experiences. - Proven experience as a Product Manager, working on backend services, APIs, or AI-powered products, ideally serving multiple client-facing teams. - High-level understanding of modern AI concepts such as LLMs, prompt design, agent architectures, and evaluation approaches. - Ability to understand technical concepts and work effectively with engineering and Data Science teams; a technical degree is a strong plus. - Good understanding of how AI-powered services are built and evaluated, and experience working effectively with Data Scientists and AI/ML Engineers. - Demonstrated understanding of the AI regulatory landscape, compliance requirements, and data governance principles (e.g., experience collaborating with DPO/Legal teams). - Exceptional analytical and strategic thinking, with the ability to leverage quantitative and qualitative data to drive complex platform decisions. - A hands-on approach and the ability to take ownership of the product development process from ideation and compliance review to scalable launch. - Excellent English communication skills, with the ability to convey complex topics clearly and concisely to engineers, executives, and legal counsel (German is a plus).
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers - Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients - Be productive with the latest hardware and tools - Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget - Learn and experience German culture first hand by joining our free German language classes - International relocation support is provided if required - Opportunity to work from abroad - Benefit from an attractive compensation package and from the company pension scheme - Monthly contribution of 50% for the ‘Deutschland Jobticket’ - Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital s PRIME+ Broker - Enjoy flexible and discounted sports activities with Urban Sports Club -
Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners.
The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €50 billion to the platform.
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services. Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).
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