Top Product Manager Jobs in Barcelona

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.

Lead product definition, prioritization and roadmap for a SaaS payroll/time-management product. Gather user feedback, manage backlog, coordinate with design and engineering, align local and French teams, support go-to-market and solution packaging, and keep internal stakeholders informed while ensuring regulatory and UX requirements are met.

The Sr Product Manager will lead the development of data-driven features, build reporting dashboards, and collaborate with cross-functional teams to enhance user insights and product adoption in a B2B SaaS environment.

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.

Lead Donaldson's global product security incident and vulnerability lifecycle: triage, remediation, disclosure, SBOM governance, regulatory reporting (EU CRA), cross-functional coordination, and embedding secure-by-design processes across product development.

Lead and operate Okta’s Product Security Incident Response and bug bounty programs: triage and validate vulnerabilities, coordinate remediation with engineering, manage disclosures, report program health, improve workflows, mentor junior staff, and partner with cross-functional teams to drive proactive threat detection and vulnerability management.

Own AI stockbroking and other financial product areas from user problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans while partnering with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, manage trade-offs, and drive continuous improvement after release.

Own AI investing and other financial product areas from user problem definition through launch and iteration. Define scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, and balance speed, customer experience, business impact, compliance, and operational complexity.

Own product areas within an AI neobank, defining user problems, roadmaps, success metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and iterate based on data, feedback, research, and production issues. Balance speed, user experience, business impact, compliance, and operational complexity while driving execution with high ownership.

Own product areas within BJAK’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, roadmaps, metrics, scope, 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 product areas across financial services, including insurance, payments, savings, investing, and travel. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to ship and improve products. Use metrics, feedback, research, and production insights to guide decisions while balancing speed, user experience, business impact, compliance, and operational complexity.

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

Own product areas within AI stockbroking 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 products; launch features; monitor performance; and drive ongoing improvements using data, feedback, research, and production insights.

Own product areas within AI Finance 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 products; and use data, feedback, research, and production insights to launch, monitor, and continuously improve products.

Execute product master data governance: support data quality and user queries, maintain enterprise data dictionary, define standards and metrics, manage data change requests, deliver training, coordinate stakeholders, and improve processes to ensure accurate, consistent product master data across systems.

Lead product strategy for CloudTalk’s AI and human communication platform serving sales and support teams. Responsibilities include user research, product vision and roadmap development, customer discovery, journey mapping, solution validation, and cross-functional alignment across R&D, marketing, customer experience, and go-to-market teams. The role requires measurable business outcomes, data-informed decision-making, clear communication of complex initiatives, and responsible use of AI in product workflows.

Conduct qualitative and quantitative research across healthcare businesses, operators, providers, and patients. Partner with Product, Design, and Engineering to identify unmet needs, evaluate concepts and shipped experiences, synthesize findings, and influence product strategy and prioritization. Use interviews, usability testing, surveys, analytics, experiments, and AI-assisted workflows to reduce uncertainty and improve telehealth products while maintaining evidence quality, privacy, and research validity.

Build and lead full-stack growth features across onboarding, monetization, retention, and AI-driven experimentation. Own architectural direction for AI-first product engineering, including agent workflows, scalable codebases, API contracts, documentation, and evaluation systems. Partner with product, design, and data teams to validate ideas quickly, measure outcomes, mentor engineers, and improve learning velocity.