Product Manager

• Act as the bridge between business stakeholders/process owners and IT delivery teams
• Understand business processes, challenges and opportunities and translate them into clear, actionable requirements
• Manage and prioritize the IT product backlog based on business value, strategic priorities and delivery capacity
• Define and refine user stories, requirements and acceptance criteria with business stakeholders and technical teams
• Facilitate discussions and decision-making across stakeholder groups
• Provide transparency on progress, risks, dependencies and delivery plans
• Identify opportunities to improve business processes and maximize value from digital solutions
• Support Agile ways of working, collaboration, continuous improvement and knowledge sharing
• Work with SAP functional experts, developers and other IT professionals through the delivery lifecycle
• Coach and train team members and stakeholders in organization techniques and processes

IT Product Owner

• 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 the product roadmap, balancing certification milestones, customer commitments, and long-term product strategy
• Identify and validate new product opportunities through market and competitive analysis, technology scouting, and customer discovery
• Translate customer needs into product requirements and shape the full portfolio
• Own the business case, pricing, and P&L for each product line
• Take new products from concept through to their first paying customers
• Build go-to-market strategies for product placement and business expansion
• Work with commercial and business development teams on positioning, pricing, and partnership opportunities
• Coordinate a small team with direct access to leadership
• Collaborate closely with engineering, safety, and certification teams

Senior Product Manager – Rail Products

• Define and evolve the product vision and roadmap for AI experiences, including Agentic AI, driving app growth
• Drive rapid iterations based on customer feedback and product data
• Work closely with engineering teams to deliver scalable, high-impact AI capabilities
• Improve the AI product experience and agentic AI workflows by expanding accessible datasets and refining response quality and user workflows
• Lead product discovery through customer interviews, beta programs, and analytics using SQL, Amplitude, and BI tools
• Partner with Customer Success, Marketing, and C-level stakeholders to align product direction with business goals
• Monitor AI/LLM trends and translate them into product opportunities

Senior Product Manager – AI

• Own discovery and delivery end to end, from user research to shipped features
• Conduct Jobs to be Done research with sellers, focusing on their business needs
• Launch agent-based services for listings, advertising, promotions, finance, reconciliation and supply
• Build prototypes independently using AI tools and a ready-made UI component library
• Run product analytics independently with AI tools
• Drive retention and daily active usage as the key product metrics
• Travel to Brazil to meet customers and attend industry events

Senior Product Manager

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Manager, Product Management – Portfolio Intelligence

• Define product vision and roadmap for DBS, connecting guest booking UX, hotel workflows, and AI discovery
• Own the consumer-facing booking journey, including calendars, date selection, room/rate selection, checkout, confirmation, availability, rates, cancellation policies, and PMS/CRS or booking-engine integrations
• Work with Engineering on product dependencies and failure cases
• Translate hotel onboarding, reporting, and adoption needs into product decisions showing measurable business value
• Own product capabilities behind search and AI/GEO visibility in partnership with Marketing and specialists
• Interview hoteliers and travelers and run usability tests
• Translate qualitative and quantitative findings into clear priorities
• Define success metrics and use experiment results to guide iteration
• Collaborate with Design and Engineering through detailed user journeys, trade-offs, and small practical iterations
• Align Engineering, Design, Sales, and Customer Success around DBS priorities
• Take responsibility for product outcomes and booking-funnel performance and conversion