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Senior Product Manager

Metropolis is an AI-driven computer vision company reimagining parking and checkout-free experiences in the real world. We are seeking a Senior Product Manager to lead pricing and yield management across our product portfolio — driving location- and network-specific outcomes by designing AI-driven pricing, inventory allocation, and value propositions that increase LTV and operational efficiency.

Skills

  • Deep experience in pricing and yield management strategies
  • Proven ability to apply AI/ML and analytics to product problems
  • Strong product leadership and roadmap execution experience
  • Working knowledge of modern web technologies, data engineering, and distributed systems
  • Experience designing experiments, defining success metrics, and measuring business impact
  • Excellent written and verbal communication and stakeholder management
  • User empathy and strong user-centric design sensibility
  • Experience with hardware integration and real-time systems (preferred)

Responsibilities

  • Define and drive the strategic product vision for pricing, inventory allocation, and yield optimization across locations and the network
  • Own product roadmaps, prioritize initiatives, manage timelines, and communicate progress to stakeholders
  • Lead cross-functional agile teams of engineers, data scientists, and UX researchers to deliver features end-to-end
  • Translate business goals and customer needs into clear requirements, success metrics, and experiments
  • Collaborate with data science and engineering to build and enhance AI-driven inventory prediction and pricing services
  • Deploy and integrate hardware-enabled solutions to support real-time pricing and optimization at locations
  • Conduct QA, post-release follow-ups, and iterative improvements to ensure adoption and performance
  • Work with operations, finance, strategy, and leadership to align on go-to-market, pricing, and measurement
  • Expand product capabilities into adjacent use cases such as automated budgeting, forecasting, and operational optimization

Education

  • Bachelor’s degree or equivalent practical experience
  • Relevant product, engineering, analytics, or business background

Benefits

  • Base salary between $200,000 and $220,000 (plus potential bonus and equity)
  • Access or eligibility for healthcare benefits
  • 401(k) plan
  • Short-term and long-term disability coverage
  • Basic life insurance
  • Lucrative stock option plan and bonus opportunities
  • In-person collaboration culture (office-first, typically 4 days/week)
  • Inclusive culture and opportunities for career growth
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$210000 / YEARLY (est.)
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$200000K
$220000K

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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$200,000/yr - $220,000/yr
EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
January 19, 2026
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