Top Product Manager Jobs in Cologne

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 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.

Own the strategy, roadmap, backlog, prioritization, adoption, and value realization of Data Products within a business domain. Translate business challenges into scalable data and analytics solutions, align senior stakeholders with Data and AI teams, and lead delivery through a cross-functional matrix organization. Drive self-service analytics, reuse, measurable business outcomes, and continuous portfolio improvement.

Own product strategy and execution for enterprise workflow lifecycle, developer experience, and production operations. Deliver Git-based source control workflows, versioning, rollback, observability, secrets/configuration management, and multi-instance operations. Lead cross-functional discovery with engineering, design, sales, and customer success to prioritise, spec, and ship enterprise-grade features for mission-critical automations.

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.

Supports products from new product introduction through production, sustaining engineering, and end-of-life. Leads technical investigations, root cause analysis, engineering changes, validation, documentation, configuration and BOM management. Provides manufacturing troubleshooting, collaborates with quality, R&D, supply chain, suppliers, and contract manufacturers, and drives improvements in product quality, reliability, yield, cost, and efficiency. The role also supports compliance, risk assessments, first article inspection, and manufacturing readiness activities.

Owns an AI-focused financial product vertical from strategy through launch, including roadmap, backlog, metrics, technical design, money-movement correctness, reliability, security, and scalability. Incorporates regulatory requirements such as KYC, sanctions screening, transaction monitoring, privacy, and data residency. Defines responsible AI usage, evaluation, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

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, and execution for major areas of KIRA’s AI Investing App. Guide PMs, product owners, designers, and engineers across multiple squads while balancing UX, data, engineering, regulatory, operational, and business constraints. Drive launch quality, post-launch learning, and continuous improvement across financial products including investing, payments, savings, insurance, 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 stockbroking and financial-services applications. Define user problems, product strategy, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and continuously iterate using data, research, feedback, and production insights.

Own AI Investing product areas from user research and problem definition through roadmap planning, launch, measurement, and iteration. Partner with engineering, design, data, operations, compliance, and business teams to simplify financial products, make informed trade-offs, and deliver customer-focused features quickly. Use metrics, feedback, experiments, and production insights to improve outcomes across insurance, payments, savings, investing, travel, and related financial services.

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.

Design and improve mobile health coaching experiences focused on behavior change, AI-generated coaching, gamification, and user engagement. Collaborate cross-functionally to develop innovative UI/UX solutions, using user psychology, UX research, data analytics, and rapid experimentation to inform decisions. Generate and present original design hypotheses, validate solutions, and improve customer journeys, motivation, habits, and long-term loyalty.

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.

Owns Packsize’s European accessories and consumables portfolio, including corrugated products. Develops pricing, positioning, commercialization, lifecycle, and portfolio optimization strategies to improve revenue, margins, adoption, and efficiency. Partners with Sales, Solutions, Supply Chain, Procurement, Marketing, Operations, Engineering, and global Product Management teams on customer insights, supplier improvements, product availability, and global portfolio standardization.

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.