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Full-Time

Director – Product Analytics

Updated on 10/8/2024

Metropolis

Metropolis

201-500 employees

Computer vision-based parking and payment solutions

Automotive & Transportation
AI & Machine Learning
Real Estate

Compensation Overview

$200k - $230kAnnually

+ Bonus + Stock Options + Healthcare Benefits + 401(k) Plan + Disability Coverage + Life Insurance

Expert

Seattle, WA, USA

Category
Data Science
Data Analysis
Data & Analytics
Required Skills
Python
Data Science
R
SQL
Tableau
Data Analysis
Requirements
  • BA/BS degree, preferably in a technical field
  • 10+ years of experience in product analytics, data science and statistics, with 4+ years of experience building teams in these areas
  • Track record of providing valuable insights that shape the product roadmap and business, with measurable impact on user growth, satisfaction, and other metrics
  • Proactive, thoughtful, and highly organized self-starter; thrives in ambiguity and solving open-ended problems without a clear right answer
  • Excellent communication and collaboration skills, enabling you to build positive relationships and communicate complex concepts across the organization
  • High proficiency in Python, R, SQL, and other data science tools/frameworks
  • Experience with self-service analytics tools (e.g. Heap, Amplitude) and BI tools (e.g. Hex, Tableau)
  • Experience working with ML, and experience using LLMs a plus
Responsibilities
  • Develop an innate understanding of our customers, our products, and our business objectives
  • Build a Product Analytics strategy and roadmap in consultation with the leaders of the Product and Technology organizations
  • Ensure our Product OKRs are well defined and tracked
  • Provide strategic guidance for the business and the Product team, helping us determine where to invest resources for the greatest return
  • Determine our approach to measuring customer satisfaction and use it to provide actionable insights to each of the Product teams
  • Collaborate with the Data and Engineering teams to create scalable, reliable, and accurate reporting
  • Collaborate with the Revenue Operations team to quantify the commercial impact of our Product releases
  • Build a Product Analytics team to provide leverage for doing all the above

Metropolis utilizes computer vision and machine learning to revolutionize parking, eliminating the need for cash, credit cards, or tickets. The company is also exploring technology for enabling "checkout-free" experiences in physical spaces, enhancing the overall parking and payment experience.

Company Stage

Series C

Total Funding

$1.9B

Headquarters

Santa Monica, California

Founded

2017

Growth & Insights
Headcount

6 month growth

16%

1 year growth

22%

2 year growth

31%
Simplify Jobs

Simplify's Take

What believers are saying

  • The acquisition of SP Plus Corporation for $1.5 billion could significantly expand Metropolis's market reach and operational capabilities.
  • Raising over $107 million in new equity investment highlights investor confidence and provides ample resources for innovation and expansion.
  • Metropolis's AI-driven approach to parking management offers employees the opportunity to work on cutting-edge technology in a growing industry.

What critics are saying

  • The competitive landscape, including established players like ParkMobile, poses a challenge to Metropolis's market penetration.
  • Rapid expansion and large acquisitions may strain Metropolis's operational and integration capabilities.

What makes Metropolis unique

  • Metropolis leverages AI and computer vision to offer checkout-free payment experiences, setting it apart from traditional parking solutions.
  • The company's focus on AI-powered parking infrastructure provides a modern, tech-driven alternative to competitors like ParkMobile.
  • Significant funding rounds, including a recent $167 million investment, underscore Metropolis's strong financial backing and growth potential.