Top Product Manager Jobs in Berlin

Manage and optimize the credit card portfolio through strategic analysis, product positioning, marketing campaigns, activation and growth initiatives. Define value propositions and messaging, use customer segmentation and data analytics to identify opportunities, and collaborate with CRM, Product, Marketing, Risk, Compliance, and Communications teams. Drive compliant product launches, improve funnel performance, and maximize customer lifetime value.

Own Android product features end-to-end, from technical design through rollout and iteration. Improve architecture, performance, reliability, testing, synchronization, and navigation in a large modular Kotlin codebase. Collaborate with Product, Design, Backend, and Frontend teams, lead technical decisions and code reviews, mentor peers, and use AI coding tools to improve engineering output.

Design digital products, services, websites, apps, and interfaces from concept through delivery. Build design systems in Figma, develop mood boards and style guides, translate brand direction into polished work, and collaborate with clients, UX, strategy, and product design teams. Present work to stakeholders, deliver projects on schedule and budget, mentor junior designers, and contribute emerging design and technology ideas.

Analyzes product performance data to establish unified KPIs, reporting standards, dashboards, and measurement frameworks. Partners with Product Managers and leadership to evaluate product impact, define success metrics, support hypothesis development, and improve data accessibility. Manages data provisioning projects and advises stakeholders on tracking, performance evaluation, and actionable insights for product strategy and prioritization.

Build and maintain a fully Swift-based mobile banking application serving over 600,000 European SMEs. Responsibilities include developing architectural and UI features, collaborating with backend, design, and product teams, solving real-time synchronization challenges, and maintaining code quality through refactoring, unit testing, code reviews, and modular architecture. The role contributes to squad-owned product initiatives using SwiftUI, Clean Architecture, MVP, MVVM, and modern CI/CD practices.

Manage strategic merchant accounts for PayPal’s Buy Now Pay Later product. Drive retention, upsell, cross-sell, revenue growth, and quota attainment while negotiating commercial agreements and maintaining executive relationships. Develop account strategies, monitor account health, identify risks and growth opportunities, coordinate cross-functional teams, oversee onboarding and integrations, forecast revenue in CRM tools, and advocate for merchant needs across PayPal.

Product Design Intern supporting the Urban Sports Club design system. Responsibilities include creating and documenting scalable UI components, auditing legacy patterns, developing wireframes and Figma prototypes, maintaining component libraries and design tokens, and collaborating with designers, engineers, and product managers. The role is a 12-week, full-time hybrid internship focused on building practical experience in product and design system design.

Lead end-to-end product design for Zendesk’s AI Agents experiences, from discovery and strategy through prototyping, launch, and iteration. Translate complex AI, automation, messaging, voice, and email capabilities into intuitive, trusted customer experiences. Partner with product, engineering, research, content, and data teams; use customer insights to improve adoption; establish reusable design patterns and standards; and apply AI-enabled tools to accelerate design workflows.

Owns the Odoo ERP product lifecycle and roadmap, focusing on order management, process automation, system integrations, exception handling, and customer self-service. Collaborates with customer service, IT, product, and business teams to define requirements, prioritize features, optimize connected systems, and deliver product releases. The role requires ERP or OMS product management experience, agile methodology expertise, strong stakeholder communication, and familiarity with Odoo, Jira, Confluence, and SQL.

Leads a strategically important Lounge by Zalando customer or business mission across Product, Engineering, Design, Analytics, and Applied Science. Owns multi-year strategy, measurable outcomes, prioritization, technical and data direction, cross-functional execution, experimentation, and continuous improvement. Builds and coaches high-performing teams, contributes to the technology leadership team, aligns with group organizations, and drives scalable capabilities, innovation, and competitive advantage through evidence-based decision-making and emerging technologies.

Build and ship end-to-end product features for an AI platform automating regulated banking processes. Responsibilities include designing APIs, data models, and interfaces; developing services across the application stack; integrating AI agent capabilities; writing tests; ensuring observability and reliability; deploying to production; and solving customer problems. The role requires close collaboration with founders and engineers in a fast-paced, regulated fintech environment.

Partner with technology and product leaders to redesign R&D organizations, team structures, ways of working, and people processes for an AI-accelerated environment. Improve performance, hiring, onboarding, merit, and talent systems; identify future capabilities; strengthen leadership; and use data and judgment to build adaptive, high-performing, sustainable teams.

Own and optimize Google product feeds, Merchant Center, Shopping, Performance Max, and Search campaigns across a complex e-commerce portfolio. Improve feed quality, taxonomy, attributes, segmentation, bidding, and campaign performance while managing advertising budgets. Analyze pricing, availability, margins, and performance data to drive scalable optimization. Collaborate with Data, Analytics, Pricing, Technology, and country teams, and develop testing, automation, and AI-enabled workflows.

The Senior Sales Product Specialist will drive B2C sales growth in the SaaS sector, managing the sales cycle, performing ROI analyses, and ensuring quota achievement while collaborating with product development.

Own the data lakehouse product portfolio and roadmap, delivering reusable, trustworthy data products from raw data through documented semantic layers and APIs. Define standardized metrics, dimensions, metadata, and governance; measure consumer adoption; align Finance Data Domain and Data Platform teams; and support BI, product engineering, and AI-enabled data access use cases. Lead stakeholders through ambiguity, set direction, and manage data products end to end.

Build and own user-facing payroll, tax, and accounting features end-to-end. Collaborate with Product and Design, improve platform reliability, performance, and security, and raise engineering quality through reviews, testing, pairing, and documentation. Instrument features, measure customer impact, simplify complex systems, and balance rapid delivery with long-term architecture. The role requires strong software engineering experience, product-building ownership, and proficiency in at least two programming languages.

Design and implement iOS features for a large-scale Swift app, collaborating with backend, product, and design. Solve real-time sync challenges, maintain high code quality through CI/CD, unit and snapshot testing, continuous refactoring, and mentorship. Contribute to architecture and scalability using modular patterns.

Own Libra product marketing: translate product updates into clear customer value, create sales enablement assets, lead go-to-market planning with Product and Engineering, manage localization and regional adaptation, and collaborate with Marketing Operations to scale campaigns across global markets.

Own the vision, strategy, and roadmap for MDR, EDR, and incident response products. Lead customer discovery, cross-functional delivery, go-to-market planning, vendor partnerships, and product operations. Mentor product managers and influence company strategy while scaling cybersecurity capabilities across Europe. Requires extensive senior product management experience, deep cybersecurity expertise, strong business acumen, excellent stakeholder communication, fluent English, and C2 German.

Own product marketing strategy for Eye Security’s MDR/XDR cybersecurity portfolio. Develop positioning, value propositions, go-to-market strategies, sales enablement, competitive intelligence, and content strategy. Partner across Product, Engineering, Sales, and Marketing while mentoring team members and influencing product roadmap decisions. The role requires deep cybersecurity market knowledge, strong B2B SaaS marketing experience, strategic execution, fluent English, and C2 German.

Own the product roadmap for an AI platform supporting SAP S/4HANA transformations. Lead solution architects, conduct customer discovery with consultants and enterprise IT teams, translate SAP domain expertise into product requirements, define acceptance criteria, prioritize engineering work, and oversee feature delivery. The role combines hands-on product management with SAP transformation expertise, AI tooling experience, and close collaboration with design and engineering in an office-based early-stage environment.

Provides advanced remote application support for Ticketmaster’s Microflex ticketing platform across international markets. Responsibilities include triaging and resolving complex issues, managing incidents and bugs, coordinating with Tier 2 and 3 teams, supporting business disruptions, training users, mentoring teammates, and partnering with engineering and operations on long-term fixes. Requires strong product knowledge, troubleshooting, communication, prioritization, and ownership skills.

Lead the end-to-end design of MetaMask’s Prediction Markets experience, from discovery and trading through position management and iteration. Translate complex concepts such as probabilities, liquidity, and market mechanics into clear user experiences. Partner closely with Product and Engineering, prototype rapidly using AI, and maintain high standards for visual and interaction design informed by research and data.

Build and maintain data pipelines and infrastructure for analytics, experimentation, and company metrics. Collaborate with machine learning engineers on training, quality assessment, and model release automation. Improve data delivery processes, automate manual workflows, and develop scalable data models. The role requires strong Apache Spark and Python expertise, SQL proficiency, Git experience, and familiarity with cloud data platforms and Kubernetes.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.