Lead the product vision: Define the roadmap for AI and pricing, from experimentation through production deployment.
Establish the pricing strategy: Translate complex airline revenue objectives into technical requirements for AI models.
Collaborate with data science: Define “rewards” and “states” that enable the AI engine to make optimal revenue decisions.
Act as the domain expert: Explain the rationale behind AI-driven decisions to internal stakeholders and airline partners.
Manage the product lifecycle: Oversee pricing applications, from simulation and A/B testing to global deployment.
Identify use cases: Discover new high-impact AI opportunities by translating data into well-defined product problems.
Sequence delivery: Collaborate with Technical Product Managers and engineers to manage trade-offs and delivery timelines.

Relevant experience implementing AI applications and managing products in a SaaS environment.
Ability to formulate hypotheses, train models, and measure outcomes alongside data scientists.
Experience in product pricing, revenue management, or e-commerce optimization.
Ability to work with limited supervision and take ownership of decisions.
Proven ability to influence cross-functional teams and explain complex concepts clearly.
Degree in economics, business, computer science, or a related field.

Senior Product Manager, AI and Pricing

Key skills