Top Artificial Intelligence Jobs in Cologne

Owns an AI-native neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partners with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporates KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Applies AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. The role partners with engineering and cross-functional teams to build reliable, auditable products across regulated financial domains. Responsibilities include managing APIs, data flows, ledgering, reconciliation, security, regulatory requirements, financial rails, third-party dependencies, and AI safeguards.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, AI safeguards, and launch. Partner with engineering, compliance, operations, finance, treasury, and design to build reliable, auditable financial products involving payments, trading, financial rails, and third-party dependencies.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI neobank product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with appropriate evaluation, safeguards, and human oversight while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI-native fintech product vertical end-to-end, including strategy, roadmap, technical design, delivery, metrics, and launch. The role covers APIs, data flows, ledgering, reconciliation, security, scalability, regulatory requirements, financial rails, AI evaluation, safeguards, and cross-functional alignment across engineering, compliance, operations, treasury, finance, and design.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. The role covers reliable financial systems, APIs, data flows, ledgering, reconciliation, regulatory requirements, AI evaluation and safeguards, third-party financial rails, and cross-functional alignment across engineering, compliance, operations, treasury, finance, and design.

Own an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements across KYC, transaction monitoring, privacy, limits, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a fintech product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI responsibly with evaluation, safeguards, human oversight, and failure handling while aligning engineering, compliance, operations, finance, and other stakeholders.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Deploy and integrate ICEYE's intelligence platform into secure, often air-gapped environments; build containerized deployments, RAG and LLM-based AI workflows, data-fusion pipelines combining SAR and other intel, and lightweight analyst tools. Work embedded with customers to prototype, train, and iterate solutions while troubleshooting disconnected deployments.

Own product areas within AI stockbroking and other financial services, defining user problems, roadmaps, success metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use research and feedback to iterate, and balance speed, customer experience, business impact, compliance, and operational complexity.

Lead product direction, roadmaps, priorities, standards, and success metrics for major AI neobank areas. Guide PMs, product owners, designers, and engineers across multiple squads while balancing user experience, data, engineering, regulatory, operational, and business constraints. Drive launch quality, post-launch learning, continuous improvement, and a high-performing product culture across financial services including insurance, payments, savings, investing, and travel.

Lead product direction, roadmaps, standards, metrics, execution, and quality for major areas of KIRA’s AI Neobank App. Guide PMs, product owners, designers, and engineers across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Translate regulatory and business constraints into product decisions, drive launches and iteration, and promote a fast, user-focused product culture.

Leads major product areas for KIRA’s AI Finance App, owning product direction, roadmaps, standards, metrics, execution, launch quality, and continuous improvement across multiple squads. The role involves guiding PMs, product owners, designers, and engineers while balancing UX, data, engineering, regulatory, operational, and business constraints across insurance, payments, savings, investing, and travel products.

Own product areas for KIRA’s AI neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive post-launch improvements.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Partner with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, metrics, experiments, and production insights to make decisions, launch features, monitor performance, and drive continuous improvements while balancing speed, experience, business impact, compliance, and operational complexity.

Leads global privacy and AI legal matters for a SaaS employment platform. Advises Product, Engineering, Security, and business teams on privacy by design, AI governance, data protection, workforce data, incidents, regulatory compliance, vendor reviews, transfers, and contract terms. Builds scalable policies, controls, templates, training, and customer-facing trust materials while monitoring global privacy and AI regulations.

Own AI Investing product areas across financial services, defining user problems, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, metrics, feedback, experiments, and production insights to make decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within AI Stockbroking and other financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data, feedback, research, and production insights. The role requires strong product judgment, execution, prioritization, stakeholder management, and ownership.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product strategy, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, feedback, research, and production insights to iterate and improve products.

Own product areas for an AI neobank across insurance, payments, savings, investing, travel, and other financial services. Define product direction, user problems, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, launch features, monitor performance, and iterate based on data, feedback, research, and production issues.