Principal Product Manager - Pricing and Personalization
New York, New York, United StatesAll locationsNew York, New York, United StatesNew York - Remote Remote
$150,000–$350,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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 role owns the systems that define pricing intelligence, supplier performance reporting, and financial truth across millions of travel transactions. 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. This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles, and ensure intelligence systems are measurable, adaptive, and trusted. The work you do will directly shape partner economics, supplier transparency, and HTS’s global commerce platform.
What you'll bring
- 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.
- Hands-on experience writing prompts, designing evaluation harnesses, or prototyping with LLMs/foundation models as part of their PM workflow (not just overseeing others doing it)
- Strong fluency working independently with SQL
- and large-scale transactional datasets.
- Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management including problem framing, signal design, evaluation metrics (e.g., precision/recall tradeoffs, forecasting accuracy), monitoring frameworks, drift detection, and retraining strategies.
- Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale.
- Experience owning pricing systems, financial reporting platforms or marketplace intelligence tools.
- 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 and commercial stakeholders.
- Prior experience in Data Science, Engineering, or a highly technical role.