Principal Product Manager - AI Travel
H
HopperTravel Tech
CanadaFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLArtificial IntelligenceMachine Learning
Requirements
- 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production
- Hands-on experience writing prompts, designing evaluation harnesses, or prototyping with LLMs/foundation models
- Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management (problem framing, signal design, evaluation metrics, monitoring frameworks, drift detection, retraining strategies)
- 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
- Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks
- 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
Responsibilities
- Own the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals
- Architect and evolve reference pricing systems leveraging predictive modeling, elasticity signals, competitive benchmarking, and real-time anomaly detection
- 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
- Design model evaluation, monitoring, and feedback frameworks, including drift detection and continuous improvement mechanisms
- 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
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