Senior Product Manager (Restaurant Product)
- Toronto, Canada
- Senior Level
- 10+ years
- Posted
Skills
Required
- AI / ML-powered
- AI/ML
- product management
- data analytics
Preferred
- revenue management / pricing / yield-optimization
- frameworks
- agile/lean methodologies
Join OpenTable's Restaurant Product team as a Principal Product Manager. In this high-impact role, you will lead the vision and execution of AI/ML-powered products that optimize revenue for restaurants. You will define and launch 0-to-1 products, partner closely with engineering and design, and align stakeholders across the company around a clear product strategy. This position offers generous benefits, including parental leave, paid vacation, and mental health support.
Definir y liderar la visión y estrategia del producto para soluciones que optimicen los ingresos de los restaurantes.
About OpenTable
This is a high-impact, high-visibility role for someone who thrives on solving ambiguous problems with emerging technology and translating business acumen and data into products that ship fast and deliver measurable value
Responsibilities
- Dirigir el desarrollo de productos desde la concepción hasta el lanzamiento, colaborando estrechamente con ingeniería y diseño.
- Utilizar análisis de datos para identificar oportunidades de ingresos, priorizar la hoja de ruta y medir el impacto de las características lanzadas.
Requirements
Demonstrated experience building and shipping AI/ML-powered products
- 10+ years of product management experience, including leading complex, high-impact initiatives
- Proven track record of taking 0-to-1 products from concept to launch
- Strong business acumen and the ability to translate data analytics into strategic product decisions
- Excellent stakeholder management skills, with experience aligning executives and cross-functional teams
- Experience working with two-sided marketplaces
- Advanced technical fluency in AI/ML concepts and applications
Preferred
Experience in the restaurant, hospitality, or marketplace industry
- Background in revenue management, pricing, or yield-optimization products
- Familiarity with rapid experimentation frameworks and agile/lean methodologies
