Senior Director of Pricing Strategy

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The company

Metropolis develops advanced computer vision and machine learning technology that makes mobile commerce remarkable. Our platform is deployed in hundreds of mobility facilities, used by millions of people, and industries with billions in opportunity. We’re building the digital pipes through which the future of mobile commerce will move.

The role

The Senior Director of Pricing will lead a critical function at the company and have a big impact on the Metropolis’ and the industry’s future. This is a highly cross-functional role with an opportunity to work closely with many teams at Metropolis. You will lead price-setting for multiple products at 500+ locations in 40+ markets; scope development of dynamic, machine learning-driven pricing tools and products; and manage a dedicated pricing team while drawing from extensive cross-functional resources.

Responsibilities

• Develop and execute a pricing strategy aligned to company objectives, including optimizing revenue outcomes and utilization across our network. We have several levers we can pull, and this person will define the principles that govern which get pulled in which situations.
• Oversee pricing of multiple products at 500+ parking facilities in 40+ markets. Metropolis’ technology gives us real-time insights unheard of in this industry, and this person will bring them to bear on pricing programs across the country.
• In collaboration with Data, Engineering, Marketing, and Product, scope development of next-generation, dynamic pricing tools. Metropolis has industry-leading machine learning expertise, and this person will help us bring that to bear on complex pricing problems.
• Lead a cross-functional team of remarkable Metropolites in these efforts. In addition to two dedicated Pricing managers, this person will have access to resources from across Data, Engineering, Finance, Marketing, and Product.

Requirements

• At least eight years in a pricing, data science, or analytics role. Competitive candidates will have at least two years of managerial experience, as well as exposure to product development teams and processes.
• At least two years of experience advising, consulting with, or directing product and engineering teams at a high-growth company.
• Extensive experience and comfort with analytical systems and tools. Highly competitive candidates will be familiar with machine learning systems.
• No specific educational experience is required, though we anticipate highly competitive candidates will have advanced formal training in analytics, business, economics, or a related field.
• This is a hybrid role (at least three days per week in-office) with occasional travel required.
• Experience in the transportation, mobility, real estate, or logistics industries is a plus! A passion for making the journey remarkable is non-negotiable. But mostly we’re looking for builders who are nice and give a damn.