Product Manager

• Own the Trust & Safety product strategy and roadmap, translating business risk and user insight into a clear, prioritised plan
• Shift the function from reactive incident response to proactive, intelligence-driven fraud prevention
• Build the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling
• Ship AI-native Trust & Safety product experiences with Data Science and Engineering using ML models, LLMs, and behavioural signals
• Balance fraud mitigation with growth protection and make evidence-based trade-off decisions
• Define and track Trust & Safety success metrics, including fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure
• Partner with Engineering, Data Science, Legal, Compliance, and Operations to deliver outcomes
• Build instrumentation, monitoring, and evaluation capabilities for fraud rates, detection model performance, and contributor/user impact
• Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive prioritisation
• Ensure products and strategies meet local and regional compliance, legal, and security requirements
• Apply AI to threat analysis, synthetic user research, specification writing, and experimentation pipelines
• Represent Trust & Safety at leadership level, presenting strategy, risk posture, and results to executive audiences

Lead Product Manager – Trust & Safety

• Own the Trust & Safety product strategy and roadmap
• Translate business risk and user insight into a clear, prioritized plan
• Shift from reactive incident response to proactive, intelligence-driven fraud prevention
• Build the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling
• Ship AI-native Trust & Safety product experiences using ML models, LLMs, and behavioral signals
• Partner with Data Science and Engineering to design, prototype, and productionize real-time detection and decisioning systems
• Balance fraud mitigation with marketplace growth and protect legitimate user experience
• Define and track Trust & Safety metrics including fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure
• Communicate impact to senior leadership in business terms
• Partner with Engineering, Data Science, Legal, Compliance, and Operations
• Build instrumentation, monitoring, and evaluation capabilities for fraud rates, model performance, and user/contributor impact
• Establish business cases quantifying fraud losses and ROI of prevention investments
• Secure resources and drive data-grounded prioritization
• Ensure products and strategies meet local and regional compliance, legal, and security requirements
• Apply AI to threat analysis, synthetic user research, specification writing, and experimentation pipelines
• Represent Trust & Safety at leadership level and present strategy, risk posture, and results to executive audiences

• Own the Trust & Safety product strategy and roadmap
• Translate business risk and user insight into a clear, prioritized plan
• Shift from reactive incident response to proactive, intelligence-driven fraud prevention
• Build the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling
• Ship AI-native Trust & Safety product experiences using ML models, LLMs, and behavioral signals
• Partner with Data Science and Engineering to design, prototype, and productionize real-time detection and decisioning systems
• Balance fraud mitigation with marketplace growth and minimize friction for legitimate users
• Define and track Trust & Safety metrics including fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure
• Communicate impact in business terms to senior leadership
• Partner with Engineering, Data Science, Legal, Compliance, and Operations
• Build instrumentation, monitoring, and evaluation capabilities for fraud rates, model performance, and contributor/user impact
• Establish business cases quantifying fraud losses and prevention ROI
• Secure resources and drive data-grounded prioritization
• Ensure products and strategies meet local and regional compliance, legal, and security requirements
• Apply AI to threat analysis, synthetic user research, specification writing, and experimentation pipelines
• Represent Trust & Safety at leadership level and present strategy, risk posture, and results to executive audiences

• Own the Trust & Safety product strategy and roadmap, translating business risk and user insight into a clear, prioritized plan
• Shift from reactive incident response to proactive, intelligence-driven fraud prevention through the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling
• Ship AI-native Trust & Safety product experiences with Data Science and Engineering using ML models, LLMs, and behavioral signals
• Balance fraud mitigation with marketplace growth and minimize friction for legitimate users
• Define and track Trust & Safety success metrics, including fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure
• Partner with Engineering, Data Science, Legal, Compliance, and Operations on shared outcomes and competing priorities
• Build instrumentation, monitoring, and evaluation capabilities for fraud rates, detection model performance, and user impact at scale
• Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive data-grounded prioritization
• Ensure products and strategies meet local and regional compliance, legal, and security requirements across markets
• Apply AI to product management operations, including threat analysis, synthetic user research, specification writing, and experimentation pipelines
• Represent Trust & Safety at leadership level and present strategy, risk posture, and results to executive audiences

• Own functional and delivery coordination of data platform initiatives for business domains such as Client Data or Sales Strategy Data
• Connect business stakeholders, Data Owners, Data Stewards, architects, and engineering teams
• Coordinate end-to-end functional delivery from discovery and scope definition through requirements, development coordination, validation, stakeholder acceptance, and handover
• Gather and document business and data requirements
• Translate requirements into user stories and acceptance criteria in Jira
• Analyze and validate data structures, sources, transformations, and business rules
• Validate data quality and output consistency
• Maintain project and data documentation in Confluence
• Collaborate with reporting and analytics teams by providing definitions, data context, and downstream reporting requirements; report development, deployment, and adoption are not owned by the role
• Contribute to continuous improvement of data platform processes, delivery practices, data quality, and platform evolution

Data Product Owner

• Own the product strategy, roadmap, and business outcomes for an AI product area across multiple communication channels
• Translate patient and business needs into clear product priorities and high-impact solutions
• Improve AI product quality through experimentation, evaluation, and iterative development
• Partner with AI Engineers to shape AI behavior in production
• Define product success metrics, monitor performance, and connect improvements to measurable business outcomes
• Drive product discovery through hypothesis validation, data analysis, and user feedback
• Collaborate with Product, Engineering, Clinical, and Operations teams to deliver end-to-end solutions
• Ensure patient safety, privacy, and quality in a regulated healthcare environment
• Communicate priorities, trade-offs, progress, and risks across stakeholders
• Lead a small, cross-functional product team and own the domain's strategy, roadmap, execution, and business outcomes

Senior Product Manager – AI Receptionist

• Lead a fully cross-functional, autonomous NordPass product team
• Own product discovery, validation, and roadmap planning
• Turn insights into shipped product value
• Define and track product health metrics such as activation, adoption, and retention
• Partner with user research, sales, marketing, legal, application security, and data analytics stakeholders
• Operate as a triad with the Engineering Manager and Product Designer
• Balance near-term ROI with long-term product bets
• Champion and enforce Secure Software Development Life Cycle practices
• Translate authentication and identity trends into product tactics
• Shape secure browsing and agentic AI-ready authentication
• Incubate developer-friendly CLIs and integrations
• Run experiments, synthesize findings, and iterate quickly while maintaining quality and compliance
• Communicate decisions, document trade-offs, and align teams around measurable outcomes

• Own and manage the Chemical Management product backlog
• Gather, analyze, and document business and technical requirements
• Create user stories, product specifications, and acceptance criteria
• Collaborate with Product Management, Regulatory, Professional Services, and Development teams to define priorities
• Partner with engineering teams on solution design, feasibility assessments, and architectural discussions
• Review and validate delivered functionality, providing acceptance feedback
• Support product roadmap planning and continuous product improvements
• Contribute to strategic modernization and product re-architecture initiatives
• Act as the bridge between Product Management, Regulatory, Professional Services, and Development teams
• Translate customer and business needs into clear product priorities and actionable requirements

Product Owner

• Lead strategy, design, and execution of Akamai's Global Services product portfolio across security, content delivery, cloud infrastructure, and AI domains
• Develop and manage managed security and cloud operations offerings to enhance adoption and retention
• Collaborate with technology groups, engineering, sales, and operations to optimize packaging, pricing, and go-to-market initiatives
• Create Product Requirement Documents, define features with detailed acceptance criteria, and develop product documentation
• Define product roadmaps and scope requirements
• Oversee the complete lifecycle for managed, advisory, and support services
• Develop pricing, packaging, and positioning strategies
• Define product vision and strategy aligned with market needs and business objectives
• Manage operational metrics, revenue outcomes, and feedback to optimize performance and adoption
• Minimize churn and enhance service value
• Collaborate within a team to define and drive the direction of Akamai's cloud offerings

• Attend project meetings with Product Owners and all stakeholders
• Gather client requirements, manage client needs, and maintain process transparency, including the product roadmap
• Lead teams of developers, QA specialists, and Product Designers
• Learn best practices and grow professionally
• Learn to describe business processes and extract business requirements from clients
• Ask the right questions during client interactions
• Receive and use continuous support from experienced MasterBorn Product Owners

Product Manager jobs in Poland

Lead Product Manager – Trust & Safety

Lead Product Manager – Trust & Safety

Lead Product Manager – Trust & Safety

Lead Product Manager – Trust & Safety

Data Product Owner

Senior Product Manager – AI Receptionist

Product Manager

Product Owner

Product Manager

Junior Product Owner