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Metropolis

Checkout-free parking payments via computer vision

Senior Product Manager - Applied AI

Product ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 6 years of product management or technical product leadership experience, including at least 2 years focused on shipping AI-powered applications, large language model implementations, or process automation systems.
  • A proven track record of driving internal process transformations, operational optimizations, or building software tools for internal business stakeholders.
  • Practical understanding of modern AI capabilities, including large language models, prompt systems, agentic patterns such as tool calling and multi-step reasoning, and retrieval-augmented generation architectures.
  • Hands-on fluency building with AI tools, including prompt engineering, AI coding agents, and rapid prototyping.
  • Working familiarity with modern data architectures, data pipelines, and cloud infrastructure, including SQL, Snowflake, and AWS.
  • Ability to translate complex technical concepts to non-technical business leaders.
  • Strong change-management instincts and user empathy to help non-technical teams transition to AI-first workflows.
  • A bias toward shipping quickly, testing iteratively, and solving open-ended problems in a fast-paced environment.

Responsibilities

  • Prioritize the internal Applied AI product roadmap, translating ambiguous business challenges into prioritized engineering specifications and AI-first solutions.
  • Partner with business leaders across Finance, Operations, and Go-To-Market to map workflows, identify automation opportunities, and drive internal technology adoption.
  • Collaborate with AI Engineers to design, scope, and deploy internal applications, prompt pipelines, retrieval-augmented generation implementations, and agentic workflows.
  • Define requirements, product requirement documents, and quantifiable success metrics, and track outcomes such as time savings, error reduction, and cost impact.
  • Lead agile product development cycles, gather feedback from internal users, and iterate on deployed AI tools to improve output quality.
  • Oversee change-management efforts to support adoption of new internal tools and systems across business units.
  • Monitor production reliability, internal tool adoption, and the business value delivered by deployed systems.
  • Prototype solutions directly rather than only writing specifications for others to build.

Desired Qualifications

  • Experience managing third-party vendor selection, evaluation, and integration for enterprise AI or software solutions.
  • Experience scaling internal productivity tools or AI agents within high-growth technology companies.
  • Computer science, data science, or a related technical background.
  • Direct familiarity with enterprise security, compliance, and governance frameworks for enterprise AI usage.
  • Experience operating in hyper-growth startups or environments managing rapid organizational change.

About the Company

Metropolis

Checkout-free parking payments via computer vision

Metropolis is a technology-driven facility-management company that focuses on parking solutions using computer vision to enable checkout-free payments. Its system detects vehicles and parking events via cameras and sensors, allowing drivers to pay automatically without stopping at a gate. The platform integrates into real estate operations, Class A office buildings, multi-garage complexes, and valet services to improve asset productivity and streamline operations. Compared with others, Metropolis supports a wide customer base across North America, operates in over 360 cities, processes more than $4 billion in payments annually, and has grown through significant funding rounds and the acquisition of SP Plus Corporation. Its goal is to expand its platform’s capabilities and market reach, helping property owners and managers increase efficiency and revenue by embedding its payment and facility-management tools directly into daily operations.

Company size
1,001-5,000
Company stage
Series D
Total funding
$3.5B
Headquarters
Santa Monica, CA
Founded
2017

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