Top Product Manager Jobs in Madrid

Lead RevenueCat’s technology partner ecosystem strategy, prioritizing integrations and strategic relationships based on customer demand, commercial value, and effort. Develop partnerships end-to-end, create creative go-to-market motions, support integration prioritization, measure ecosystem impact, and establish scalable models for inbound partner requests and lower-touch integrations. Collaborate cross-functionally with Product, Engineering, Marketing, Sales, and Customer Success in a high-ownership remote startup environment.

Leads Pfizer’s global Product & Delivery practitioner community, overseeing governance, engagement, capability-building programs, learning pathways, events, knowledge management, and maturity measurement. Builds alignment across a complex matrixed organization, influences senior leaders, advances product, delivery, CX, Agile, and AI-enabled practices, and leads a small team and distributed community network. Owns enterprise programming, adoption, impact metrics, and organizational change through storytelling, executive presence, and practitioner advocacy.

Owns end-to-end product and operational analytics for AI-powered and conventional automation features. Responsibilities include experiment design, funnel and adoption analysis, AI output evaluation, hallucination and failure investigation, monitoring, dashboards, and measuring business impact. The role partners with Product, Engineering, Clinical, MedOps, and Legal, using SQL and Python to analyze messy production data and translate findings into decisions.

Own the anti-fraud product roadmap across signup, payments, account protection, compute-abuse prevention, risk scoring, manual review, customer verification, and appeals. Partner with Trust & Safety, Engineering, Data Science, Analytics, and Legal to define detection rules, models, incident responses, experiments, and compliance processes. Monitor fraud losses, chargebacks, false positives, review throughput, and detection speed while minimizing customer friction.

Lead product design for Synthesia’s AI-native Sessions experiences. Own major design bets from problem framing through launch, establish design vision, prototype conversational and agentic interaction models, and partner with Product and Engineering leaders. The role emphasizes interaction and visual craft, systems thinking, user trust, transparency, control, enterprise needs, and measurable improvements to AI-driven workflows.

Design polished interfaces for the vCluster Platform, partnering closely with frontend, backend, product, and engineering teams. Translate complex technical problems and ambiguous requirements into intuitive B2B product experiences. Conduct UX research and competitive analysis, communicate design decisions to stakeholders, and maintain visual consistency with the company brand. The role focuses on engineer-facing infrastructure products and requires technical curiosity, strong visual design, user empathy, and autonomous execution in a distributed startup environment.

Own OLX’s global advertising product across ad serving, auctions, targeting, measurement, programmatic demand, self-serve tools, retail media, and AI-native experiences. Drive advertising revenue, define performance metrics, balance monetization with buyer trust, and partner with engineering, data science, commercial, sales, and executive teams to scale products across multiple markets.

Leads the product strategy and roadmap for Elastic’s Streams telemetry pipeline, covering data collection, ingestion, processing, routing, and integrations. Manages a distributed product management team, drives adoption KPIs, partners across Observability, Security, and Search, and collaborates with engineering, design, customers, sales, marketing, and partners to deliver self-service data ingestion and shared platform capabilities.

Lead product strategy and lifecycle for Liquid Staking/Restaking products. Drive development, launch, and growth by collaborating with engineering, design, and marketing. Gather stakeholder and user feedback, perform competitive and market research, and prioritize data-driven product improvements to increase adoption and differentiation.

Own the full sales cycle for Cribl’s Storage & Analysis products across EMEA, from pipeline generation through closing. Build demand in greenfield markets, develop business plans, manage complex enterprise opportunities, collaborate with regional sales managers and solution engineers, and influence product and go-to-market strategy. The role requires articulating value to technical and executive audiences, forecasting accurately, pursuing expansion opportunities, and traveling 25–35% across EMEA.

Design user interfaces and experiences for Action1’s SaaS platform, including user flows, wireframes, mockups, prototypes, and consistent design patterns. Simplify complex IT management workflows, improve usability through feedback and insights, and collaborate with Product Managers and R&D teams. The role may also support website, HR, and marketing visual design initiatives.

Leads European product strategy, roadmap, portfolio performance, product management, and business intelligence for cryptocurrency and digital financial services. Oversees products spanning trading, derivatives, payments, and investments; drives customer experience, analytics, adoption, retention, and revenue. Ensures compliance with European regulations including MiCA, MiFID II, EMI, DORA, and payment services requirements. Builds international teams and collaborates with global, technology, engineering, compliance, risk, and legal stakeholders.

Own product analytics for ElevenLabs products, defining health metrics across activation, adoption, retention, and engagement. Design and analyze A/B tests, feature launches, and onboarding changes. Partner with Product, Growth, Analytics Engineering, and Data teams to convert ambiguous questions into trusted analysis and certified KPI layers. Apply SQL, Python, experimentation, and product analytics expertise to support growth and product decisions.

Lead the strategy and roadmap for Wrike’s AI Platform and Ecosystem, including MCP, Skills, and GraphQL. Direct the core MCP team, establish standards for agent-facing tools, guide GraphQL product evolution, and manage plugin distribution across AI marketplaces. Partner with engineering, architecture, security, customers, and product teams to improve reliability, governance, permissions, documentation, developer experience, and agent workflows. Use customer research, adoption data, experiments, and ecosystem feedback to prioritize outcomes.

Build production infrastructure features in Go while embedding security into the product. Own vulnerability triage and remediation through patched releases, threat-model new features, conduct security-sensitive code and design reviews, and improve secure engineering practices. Requires deep Kubernetes knowledge, including API server, admission control, RBAC, controllers, kubelet, and attack surfaces such as container breakout and privilege escalation.

Design prediction market and trading terminal interfaces, web and mobile applications, marketing creatives, and scalable design systems. Own the end-to-end design process from concepts and wireframes to production-ready experiences, collaborating with founders, product managers, and developers. Present design decisions, incorporate feedback, and improve user experience across digital products.

Own the product vision, strategy, roadmap, and outcomes for core business lines. Gather customer and stakeholder feedback, prioritize features, manage dependencies, balance engineering cost with impact, and partner with sales, support, and engineering to ship successful products. The role requires ownership of end-to-end and 0-to-1 product development, strong communication, rapid execution, and comfort making decisions amid uncertainty.

Product Designer responsible for creating end-to-end UX/UI solutions, conducting product discovery, designing dashboards and analytics interfaces, and simplifying complex information through data visualization. The role involves collaborating with design leadership and cross-functional stakeholders, contributing to design systems, articulating design decisions, and influencing product strategy. Candidates need at least two years of professional product design experience, a strong portfolio, and experience with design systems and reporting interfaces.

Build and scale governed data products, pipelines, analytical models, semantic layers, APIs, and AI-enabled interfaces. Establish standards for data modeling, orchestration, testing, observability, CI/CD, security, and lifecycle management. Partner with stakeholders to define data contracts and product roadmaps, deliver solutions end to end, improve analytics governance, and mentor colleagues. The role requires strong data and analytics engineering expertise, product judgment, and practical experience directing AI coding agents.

Own the architecture enabling AI-first product engineering, including agent-native standards, context infrastructure, self-healing incident workflows, autonomous agent features, and AI code review optimization. Ship full-stack product features, set technical direction, and partner with product and design teams. The role requires strong backend engineering, production LLM experience, distributed systems expertise, and practical use of AI coding tools.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship end-to-end product features, set technical direction, evaluate LLM reliability and trade-offs, and accelerate validated learning through close collaboration with engineering, product, and design teams.

Lead architecture and end-to-end development of AI-first product features. Establish agent-native engineering standards, context infrastructure, self-healing incident workflows, multi-step agent systems, and AI code-review optimization. Collaborate with engineers, product managers, and designers to ship validated product improvements quickly while setting technical direction. The role requires strong backend and full-stack development, distributed systems expertise, production LLM experience, and effective use of AI coding tools.

Lead architectural work for AI-native backend engineering, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step LLM agents, and AI code-review optimization. Ship backend code and AI-first product features while setting technical direction and collaborating with product and design teams. Apply strong distributed-systems, event-driven architecture, and production LLM expertise to accelerate validated learning.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship production software, establish technical direction, and partner with product and design teams to accelerate validated learning. The role requires strong backend and distributed-systems expertise, hands-on LLM product experience, and practical use of AI coding tools.

Own the architectural layer for AI-native product engineering, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step LLM agent systems, and AI code review optimization. Ship backend code, set technical direction, and partner with product teams to deliver validated AI-first features. The role requires strong backend, distributed systems, event-driven architecture, LLM, and AI coding tool experience.