Hopper
Gestionnaire de produit principal - Natif de l'IA (100% à distance - Canada)
Canada - Remote · Principal
Sponsorship not specifiedDetected 123 days ago
TypeScriptAlgorithmsSQLMachine LearningData ScienceNLPLLMsDetection EngineeringProduct ManagementFinancial AnalysisForecastingValuationAR/VRLeadershipCommunicationFinancial Reporting
About the role
- This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems.
- Architect and evolve reference pricing systems leveraging predictive modeling, elasticity signals, competitive benchmarking, and real-time anomaly detection.
Responsibilities
- Own the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals.
- Build the supplier intelligence layer, transforming transactional data into automated performance signals, demand insights, and pricing diagnostics.
- Establish and govern the canonical source of truth for revenue, margin, take rate, transactions, and cancellations across systems and partners.
- Implement automated reconciliation and anomaly detection systems to proactively surface financial inconsistencies at scale.
- Drive cross-functional execution across Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure.
- You will design and scale model-driven infrastructure that continuously interprets transactional data, generates reference pricing, detects performance shifts, reconciles financial flows, and governs revenue integrity in real time.
Requirements
- This position requires proficiency in both French and English.
- Knowledge of English is therefore necessary for the performance of the duties associated with the position and to meet operational and client requirements in an international business environment.
Nice to have
- Expérience préalable en science des données, en ingénierie ou dans un rôle hautement technique.
- 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production.
- You have built and scaled systems where AI is foundational to product behavior - not an additive feature.
- Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale.
- Strong fluency with SQL and large-scale transactional datasets.
- Deep understanding of marketplace economics, revenue mechanics, and pricing strategy.
- Track record of delivering complex, cross-functional systems with measurable business impact.
- Exceptional communicator able to operate effectively across technical, financial, and commercial stakeholders.
Skills
- Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks.
Compensation
- Well-funded and proven startup with large ambitions, competitive salary and upsides of pre-IPO equity packages.
Benefits
- Well-funded and proven startup with large ambitions, competitive salary and upsides of pre-IPO equity packages.
- Hopper offers life, short term and long term disability coverage.
- HSA that covers eligible medical and dental expenses.
- Please ask us about our very generous parental leave, much above industry standards!.
- Unlimited PTO.
- Carrot Cash travel stipend.
- Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
- Entrepreneurial culture where pushing limits and taking risks is everyday business.
- Un congé parental ultra-généreux, largement supérieur aux normes de l'industrie.
- Temps libre payé (PTO) illimité.
Company info
- Un environnement où repousser les limites et prendre des risques fait partie du quotidien.
- Communication ouverte avec la direction et le leadership de l'entreprise.
- We are seeking an exceptional, AI-native Senior+ Product Manager to build and lead the intelligence and reconciliation backbone of HTS across Flights, Hotels, Cars, and Ancillaries.
This listing is sourced directly from Hopper's careers page and normalized into a canonical job model.