Top Product Manager Jobs in Poland

Design, build, operate, and own backend services for an underwriting platform using Kotlin, Java, or another JVM language. Shape APIs, architecture, domain models, persistence, reliability, and observability. Build agent-assisted workflows, collaborate with frontend, product, and client-facing teams, engage directly with underwriters, and use AI coding tools responsibly. The role requires solving ambiguous customer problems, making independent technical decisions, and contributing to engineering standards.

Serve as the primary contact for users, resolving product and technical questions through email, chat, and video. Troubleshoot workflows, identify recurring issues, collaborate with Product, Engineering, and Customer Success, and improve support processes and documentation. Support feature rollouts through testing and communications, analyze customer trends, and propose proactive solutions. The role requires clear communication, initiative, problem-solving, and comfort working with distributed teams across EMEA time zones.

Own the strategy, roadmap, specifications, and delivery of anti-fraud and compliance products for cross-border money transfers. Translate regulatory and business needs into scalable technical solutions, collaborate with legal, compliance, and engineering teams, lead Agile development, and enhance fraud detection using analytics and machine learning. The role requires strong product discovery, technical fluency in APIs, SQL, and data pipelines, and experience in risk, fraud, compliance, or security domains.

Lead development and adoption of a Consumer Data Platform: gather requirements, create product roadmaps and specs, coordinate cross-functional teams, ensure data privacy/security, define KPIs, and drive product quality and execution.

Analyze production Voice AI behavior, transcripts, logs, and operational data to identify failures, quality changes, and business impact. Build AI evaluation frameworks, monitoring systems, and dashboards; measure reliability, efficiency, and patient experience; and translate findings into product improvements with Product, Engineering, QA, and Operations teams.

Lead MEDvidi’s entire product and engineering organization, including product management, engineering, design, data, and product marketing. Define and execute the AI-first product strategy, oversee multiple product tracks, guide executive OKR planning, improve product quality and organizational processes, and develop AI-driven healthcare products. The role requires strong product leadership, hands-on AI expertise, behavioral design experience, data-driven problem solving, and executive communication skills.

Lead global marketing strategy and commercial growth for GoMinings flagship mining products. Own positioning, go-to-market, product launches, pricing, and KPIs. Drive acquisition, retention, and revenue with cross-functional teams while building and mentoring an international marketing organization.

Provide global technical support for Veeva’s SaaS products, troubleshooting production, configuration, installation, data integrity, and application issues. Replicate problems, research resolutions, maintain documentation, coordinate releases, and collaborate with Development, QA, Product, Consulting, Sales Engineering, and Professional Services. Support client administrators, communicate status, and represent technical teams to customers. Optional weekend on-call coverage is available.

Supports product launch processes, feedback and roadmap management tools, product-team operating rhythms, reporting, and process guidance. Identifies manual or inefficient workflows and implements AI-powered automations, workflow integrations, templates, and SOPs. Measures improvement outcomes and supports AI adoption across product discovery, requirements, and delivery. Collaborates with product managers and internal partners to improve operational consistency, scalability, and efficiency.

Own product requirements from discovery through UAT, quality assurance, release, and iteration. Gather customer feedback, translate customer needs and usage data into priorities, manage product outcomes, and support customer-facing scoping and feasibility discussions. Design solutions spanning data, AI/ML, UX, and system integration while collaborating with engineering and validating customer expectations.

Drive product marketing for Kleos, a cloud-based legal practice management platform. Responsibilities include market and competitive research, product positioning, content creation, product launches, demand generation, customer adoption, campaign performance analysis, and sales enablement. The role collaborates with product, sales, customer service, digital marketing, and field marketing teams across Europe.

Owns the design and delivery of payment risk systems covering underwriting, exposure, reserves, payout controls, disputes, verification, and transaction monitoring. Leads projects from discovery through rollout and reliability monitoring while balancing fraud protection with organizer experience. Collaborates closely with Product, Payment Operations, and KYC teams, participates in on-call and incident response, mentors engineers, and helps automate manual risk decisions for a growing merchant-of-record platform.

Own product marketing for a Canonical product area, including positioning, messaging, launches, competitive intelligence, sales enablement, customer research, and demand-generation campaigns. The role requires translating technical open source solutions for developer and executive audiences, influencing product, sales, and marketing stakeholders, using data to improve outcomes, and mentoring other marketers. This is a fully remote EMEA role with periodic international team travel.

Own the vision, roadmap, backlog, and delivery of AI-powered products. Translate business challenges into scalable solutions, define KPIs and business cases, prioritize initiatives, manage stakeholders, drive adoption, and measure business impact. Collaborate with AI engineers, data teams, IT, security, and governance stakeholders to develop reusable AI capabilities across markets and functions.

Own go-to-market and adoption campaigns for developer-focused product areas: build lifecycle campaigns, design and optimize web pages, produce case studies and enablement, gather market insights, and run creative brand projects. Lead end-to-end product launches, collaborate across Product, Sales, and Marketing, and optimize self-serve funnels to drive activation, retention, and revenue.

Build and iterate AI systems spanning computer vision, image manipulation, video generation, and agentic data analysis. Own the full pipeline from model research and API integration through scalable web application deployment. Develop rapid MVPs using AI-assisted tools, orchestrate multiple models into autonomous workflows, and test solutions in e-commerce operations before scaling them into SaaS products.

Own ambiguous product problems end to end, from defining user flows and API contracts through frontend implementation, backend collaboration, testing, and production delivery. Review Haskell and React code, maintain performance, accessibility, SEO, and product quality standards, and use AI tools for prototyping, implementation, refactoring, debugging, and technical exploration. Work across product, UX, frontend, backend architecture, and AWS infrastructure in a remote-first environment.

Lead brand strategy and marketing execution for a pharmaceutical aesthetics product. Responsibilities include positioning, integrated campaigns, budget management, market and competitor analysis, cross-functional leadership, sales enablement, agency and KOL collaboration, performance monitoring, and regulatory compliance. The role requires pharmaceutical Rx brand management experience, strategic and analytical skills, digital marketing proficiency, strong communication, and stakeholder leadership.

Manages and designs in-game events, develops LiveOps strategies, improves monetization, plans promotions, analyzes game metrics, and monitors competitors. The role partners with engineering teams to improve promotional tools and game economy while optimizing conversion, retention, churn, and customer lifetime value.

Leads Gainsight’s Product Security function by maturing application security, embedding Secure by Design principles, and overseeing threat modeling and security architecture reviews. The role manages global product security engineers, drives security testing coverage and deployment security gates, leads vulnerability remediation, and partners with Engineering and Product leadership on risk and architecture. The Director will build high-performing teams and programs for a cloud-native, multi-tenant SaaS platform.

Lead a product area end-to-end: define roadmap, run discovery, set OKRs, prioritise from customer insights, manage dependencies, partner with engineering and design, and build a 12–18 month AI-first product vision to deliver measurable outcomes.

Support and enhance tax-related business applications: gather requirements, lead design and UAT/regression testing, develop documentation and training, act as GTS SME, manage initiatives to timelines and budgets, and provide client/vendor support.

As a Full Stack Engineer, you will own the complete stack from UI to API, ensuring high-quality feature development and exceptional user experiences at a fast-paced startup.

Own partner marketing initiatives for Primer’s payments platform, including product positioning, value propositions, messaging, campaigns, launch assets, enablement materials, and performance reporting. Collaborate with Product, Sales, Marketing, and partner teams to communicate technical product benefits to buyers and partners. Analyze market insights and customer personas, adapt content across channels, and help build scalable marketing processes in a remote, fast-changing SaaS environment.

Own technical product marketing for JetBrains Rider, ReSharper, and dotUltimate. Develop positioning, messaging, launch stories, technical content, release marketing, and developer-focused campaigns for .NET audiences. Collaborate with product, engineering, developer advocacy, research, growth, and marketing teams. Analyze campaign performance, engage developer communities, and explain evolving AI-assisted development workflows through credible, hands-on technical storytelling.