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Metropolis Technologies

Senior Product Manager

Reposted 3 Days Ago
Easy Apply
In-Office
Los Angeles, CA
200K-220K Annually
Senior level
Easy Apply
In-Office
Los Angeles, CA
200K-220K Annually
Senior level
Lead the pricing and yield management for Metropolis, utilizing AI and analytics to optimize product offerings and enhance customer value through strategic product vision and agile development.
The summary above was generated by AI
Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

Metropolis is seeking a Senior Product Manager to lead pricing and yield management across our product portfolio. Your mission is to drive location and network-specific outcomes by deeply understanding our customers, locations, and product offering. You will decide how we allocate and price inventory, optimize product usage based on location-specific constraints and goals, and offer LTV-enhancing value propositions for our customers to use our network. You will lead a team of engineers, data scientists, and UX researchers and operate in a highly cross-functional capacity engaging with operations, finance, strategy, and leadership. You and the team will use best-in-class AI (Artificial Intelligence) and analytical methods to build a pricing and inventory management system that spans our platform and generates outsized value for Metropolis and its clients.

What you'll do
  • Drive the strategic product vision for how Metropolis manages and prices its inventory and products using AI and automation
  • Own product roadmaps, communicate and manage deadlines, and contribute to the vision of the larger product ecosystem
  • Lead agile product development using data, feedback from the field, interviews with users and experts, competitive analysis, and qualitative and quantitative research
  • Design clear requirements and success metrics to align and drive teamwork efforts
  • Conduct QA and post-release follow-ups to ensure successful product rollouts
  • Identify, track, and solve for issues, bugs, and obstacles impacting our success
  • Understand and decompose complex problems into manageable components
  • Build strong relationships with engineers, operations, customers, and executives to lead development efforts, gather feedback, drive adoption, and measure our success; collaborate with data science and engineering teams on developing and enhancing AI-driven inventory prediction services
  • Deploy hardware solutions to support real-time pricing and yield optimization across locations
  • Expand Metropolis’s AI product suite into new use cases such as automated budgeting, forecasting, and operational optimization
What we're looking for
  • Bachelor’s degree or related experience
  • 6+ years of product management or related experience in the pricing and yield management domain ideally in environments with fluid and varying demand and risk dynamics
  • Track record of building and delivering products with measurable business impact
  • Considerable experience using AI, complex systems, and analytics to drive product and business success
  • Strong working knowledge of modern web technologies, data engineering, distributed computing, and system design
  • Strong user empathy and a knack for brilliant user-centric design
  • Superior written and verbal communication skills
  • Entrepreneurial drive and ability to thrive in open-ended environments
  • Positive, open, and team-oriented approach to work
  • High attention to detail

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $200,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-WT1 #LI-Onsite

Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Top Skills

AI
Automation
Data Engineering
Distributed Computing

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