Top Product Manager Jobs in Madrid

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 the Customer Portal product strategy, discovery, roadmap, prioritization, metrics, delivery, and launches. Connect product decisions to revenue, retention, and customer trust while partnering with Engineering, GTM, Fraud Ops, and Design. Mentor PMs, establish product craft standards, champion AI practices, and progressively build and lead the product team.

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 end to end, including strategy, roadmap, metrics, backlog, technical design, money-movement correctness, reliability, security, regulatory requirements, and AI evaluation. Partners with engineering, design, compliance, operations, treasury, and finance to ship safely across external partner and regulatory gates. The role requires strong technical product leadership, regulated-domain experience, system-design fluency, hands-on LLM product experience, and sound judgment around AI risks and human oversight.

Lead product direction and execution for major areas of KIRA’s AI stockbroking app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial-service workstreams. Guide product managers, product owners, designers, and engineers while balancing user experience, data, engineering, regulatory, operational, and business considerations. The role also involves mentoring product leaders and simplifying complex financial products into usable customer journeys.

Lead product direction, roadmaps, standards, and success metrics 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 launch quality, and foster rapid, user-focused continuous improvement.

Lead product direction, strategy, roadmaps, standards, and success metrics for major areas of KIRA’s AI Investing 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, ensure launch quality, drive post-launch learning, and promote fast, user-focused, data-informed product development.

Lead product direction and execution for major areas of an AI-powered neobank app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Guide PMs, product owners, designers, and engineers while balancing UX, data, engineering, regulatory, operational, and business considerations.

Own product areas for KIRA’s AI stockbroking and financial services applications. 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 improve products after launch.

Own product areas across KIRA’s AI neobank, including insurance, payments, savings, investing, and travel. Define customer problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and iterate using data, feedback, research, and production insights.

Own AI Investing product areas across financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; use research, feedback, metrics, and production issues to improve decisions; launch features, monitor performance, and drive iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Own AI Investing product areas from user problem discovery through roadmap, launch, measurement, and iteration. Define product scope, success metrics, and launch plans while partnering with engineering, design, data, operations, compliance, and business teams. Simplify complex financial journeys, use research and metrics to guide decisions, and balance speed, customer experience, business impact, compliance, and operational complexity.

Own product areas for KIRA’s AI Stockbroking and broader financial services products. Define user problems, 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 iterate using data, research, feedback, and production insights.

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

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related 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 journeys; and use data, research, feedback, and production issues to drive iterations and improvements.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to deliver simple customer journeys. Use data, feedback, research, experiments, and production issues to guide decisions, monitor performance, and continuously improve products while balancing speed, experience, business impact, compliance, and operational complexity.

Own product areas across financial services including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; launch and monitor features; and iterate using data, research, feedback, and production insights. The role requires strong product judgment, prioritization, writing, stakeholder management, and independent execution.

Own product areas for AI Stockbroking and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use metrics, research, feedback, and production issues to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas across KIRA’s AI neobank, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial journeys; and use data, feedback, experiments, and production insights to improve products after release.

Own product areas within BJAK’s AI Investing and broader financial services portfolio. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and metrics to guide decisions, launch features, monitor performance, and iterate. The role requires strong ownership, prioritization, communication, product judgment, and the ability to execute with limited guidance.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, compliance, operations, and business teams to simplify financial products, launch features, monitor performance, and iterate using data, feedback, research, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial journeys, launch features, monitor performance, and iterate using data, feedback, research, and production insights.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launches. Partner with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, experiments, metrics, and production insights to improve decisions and iterate after launch. Balance speed, user experience, business impact, compliance, and operational complexity while driving execution with high ownership.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial workflows; use research, feedback, metrics, and experiments to improve products; and drive rapid launches and post-launch iteration.