Top Product Manager Jobs in Berlin

Leads digital MVP development from investment approval through build, launch, user adoption, and stage-gate transition. Owns product vision, specifications, acceptance criteria, backlog prioritization, delivery planning, scope, risks, dependencies, and evidence-based decisions. Partners with users, engineers, scrum masters, architects, commercial leaders, and sponsors to validate hypotheses, estimate build costs, and deliver viable products.

Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.

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.

Own the consumer rewards journey, publisher SDK and integration platform, monetization economics, experimentation, measurement, and publisher partnerships. The role requires translating product strategy into scalable experiences, improving developer integrations, optimizing pricing and marketplace outcomes, and using causal measurement to guide investment decisions. The Product Lead will collaborate with engineering, data science, advertisers, and major mobile publishers while owning meaningful commercial and product outcomes.

Provide privacy and product counsel for AI models, APIs, enterprise offerings, marketing, and international data operations. Lead GDPR compliance, DPIAs, transfer mechanisms, US privacy obligations, regulatory engagement, data subject requests, incident response, privacy documentation, customer commitments, and vendor diligence. Build scalable privacy processes, templates, training, and playbooks while advising research, product, engineering, marketing, and commercial teams.

Leads product marketing for Semrush’s self-serve and PLG customer base, owning positioning, packaging, launches, activation, retention, and growth. Manages distributed Product Marketing Managers, partners cross-functionally on lifecycle KPIs and roadmap input, and uses customer research, experimentation, funnel metrics, and competitive analysis to drive net-new and expansion ARR. Requires strong executive communication, SaaS product marketing leadership, pricing and packaging experience, and practical AI workflow adoption.

Lead Qorelo’s product strategy, roadmap, discovery, customer-facing product work, and product team. The role combines SAP S/4HANA transformation expertise with hands-on B2B product leadership, AI collaboration, enterprise customer engagement, and responsibility for shipping measurable outcomes. You will lead solution architects, partner with design and engineering, support sales Proofs of Value, and report directly to the C-level in an early-stage Berlin startup.

Own Raisin’s customer taxation product end to end, including vision, roadmap, tax calculations, customer documents, statutory reporting, and self-service experiences. Lead a cross-functional team, translate complex tax rules into requirements, ensure accuracy and regulatory compliance, manage fixed annual deadlines, support market and product launches, and improve tools for customers and service teams.

Own end-to-end product design for Databricks Platform areas serving technical and business users. Responsibilities include defining design direction, conducting customer research, creating prototypes, validating usability, influencing product and engineering decisions, designing reusable UX patterns, contributing directly to code with AI coding agents, and maintaining high visual and interaction quality across complex data and AI workflows.

Own the consumer growth agenda by identifying opportunities, developing and prioritizing experiments, analyzing customer and behavioral data, and scaling successful product initiatives. Partner cross-functionally with Engineering, Design, Data, Marketing, and Commercial teams to drive measurable outcomes across acquisition, activation, engagement, retention, conversion, and monetization. Provide product leadership and make evidence-based decisions in an ambiguous environment.

Own Vision Chain as a technical product, managing OP Stack configuration, protocol modifications, infrastructure partnerships, compliance and privacy solutions, reliability, incidents, costs, developer documentation, and partner onboarding. Translate regulatory and business needs into technical requirements, coordinate engineering and external providers, and align the blockchain roadmap with Bitpanda’s Web3 product strategy.

Lead the development of Bitpanda’s DeFi ecosystem, beginning with crypto-backed lending and borrowing. Design lending markets, risk parameters, liquidity strategies, infrastructure, and customer experiences while selecting protocols and partners for Vision Chain. Collaborate with smart contract engineers and Legal, Compliance, and Risk teams to launch regulated, accessible DeFi products aligned with EU regulations including MiCA.

Own the strategy and roadmap for integrations and AI platform foundations, including APIs, MCP, document parsing, retrieval, RAG, and agent infrastructure. Define platform policies, security controls, ownership boundaries, and success metrics. Work with customers, engineering, security, and internal product teams to launch reusable services, public APIs, a Developer Portal, customer-facing MCP capabilities, and shared AI tooling. Drive platform adoption, integration efficiency, extraction accuracy, and responsible AI governance.

Lead Hostaway’s product analytics function by defining measurement standards, metrics, tracking plans, instrumentation, and data quality practices. Partner with product and data engineering leaders to embed analytics into planning, evaluate investments, measure AI-driven workflows, and improve data-informed decision-making. The role remains hands-on, requiring SQL analysis and query development, while also mentoring analysts and building the analytics operating model.

Lead strategy, design, and enterprise adoption of Agentic AI, hyperautomation, process mining, and internal tooling to transform banking operations. Drive E2E workflow re-engineering, integrate AI agents with Salesforce and AWS, measure ROI (FTE impact, handling times, error rates), and ensure regulatory compliance and operational readiness.

Own the strategy, roadmap, and delivery for Hostaway’s core platform covering pricing, availability, and listing content. Partner with Engineering, Design, Data, and channel connection teams to simplify complex workflows and build reliable customer experiences. Lead continuous discovery, make product trade-offs, and use AI tooling to prototype and ship solutions alongside engineers.

Own one or more customer-facing products from ideation through delivery, managing engineering collaboration, product performance, and business impact. Analyze data to identify problems, define solutions, build product vision and roadmaps, and work cross-functionally with engineering, operations, security, compliance, data, legal, and design teams. The role supports product areas including banking, cards, and wealth.

Own product direction and delivery for Affinidi’s Trust Fabric suite, partnering closely with engineering to build products that provide AI agents with verifiable identity, policy guardrails, and observability. Shape solutions from concept to production, prioritize roadmaps, resolve ambiguity, gather user feedback, and align engineering, design, go-to-market, and executive stakeholders. The role requires strong technical product management skills, developer empathy, and experience with APIs, systems, and integrations.

Own the vision, roadmap, backlog, and priorities for charger communication, energy management, and smart charging products. Partner with developers, architects, stakeholders, and suppliers to deliver scalable, customer-focused solutions. Drive product strategy, implementation, lifecycle management, operational reliability, compliance, change management, and continuous improvement across international E-Mobility markets.

Develops self-serve client platform features across backend, frontend, and data layers. Owns end-to-end implementation for assigned domains, collaborates with Data, Engineering, and Growth teams, and translates client and internal needs into product decisions. Uses AI-assisted development and agent-based coding tools while maintaining well-typed, documented, organized systems. Builds features with direct impact on how business clients operate.

Lead the inventory product domain within Zalando’s Fulfillment Core, defining vision, strategy, roadmap, KPIs, and customer-focused product outcomes. Build and deploy technical platform products at scale, use data and AI technologies for discovery, experimentation, prototyping, and decision-making, and navigate complex cross-functional trade-offs. Partner with Design, Engineering, and Data Science, maximize commercial value, and mentor other product managers.

Own the strategy, roadmap, outcomes, launch, and adoption of a core AI inference platform stream. Align engineering and research teams across APIs, routing, performance, reliability, and enterprise features. Partner with customers through research and proofs of concept, assess inference markets and economics, and translate customer and industry insights into scalable, reliable, cost-efficient product capabilities.

Serve as the primary product expert for customers, Sales, Customer Success, and Account Management. Lead enterprise customer meetings, feedback sessions, roadmap discussions, workshops, complex demos, and custom development projects. Analyze customer feedback and usage data to prioritize product input, coordinate Product and Engineering, communicate product decisions, and manage scope, timelines, and expectations. The role requires strong customer-facing communication, deep product learning, AI tool usage, fluent German and English, and experience in B2B SaaS.

Own the company’s websites, landing pages, conversion funnels, and emerging product configurator. Plan and analyze A/B tests, write persuasive web copy, develop SEO pages, conduct customer research, and translate insights into growth experiments. The role partners with marketing, content, design, and technology teams while tracking conversion and revenue impact. It requires strong UX/UI judgment, analytical and commercial thinking, native German, professional English, and an entrepreneurial, self-directed approach.

Own AI product features end to end, from customer discovery and concept development through full-stack implementation, production release, measurement, and continuous improvement. Build reliable LLM applications, RAG pipelines, agentic workflows, and intuitive user experiences. Collaborate with customers, product management, and customer success while using usage data, feedback, and evaluations to guide decisions. Work remotely from Germany with no people-management responsibility.