Metropolis Technologies Offices

Metropolis Technologies is headquartered in Santa Monica and has 6 office locations.

OnSite Workplace

Employees work from physical offices.

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.

Typical time on-site: 5 days a week

U.S. Office Locations

HQ

Santa Monica

Santa Monica, CA, United States, 90401

Austin

Austin, TX, United States

Chicago

Chicago, IL, United States, 60601

Nashville

Nashville, TN, United States, 37201

New York

New York, NY, United States, 10012

Seattle

Seattle, WA, United States, 98109

5 Days AgoSaved
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In-Office
New York, NY, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Owns the full B2B sales cycle across a New Jersey territory, from prospecting and relationship development through negotiation and closing. The role develops net-new opportunities, leads client presentations, creates customized proposals, manages complex deals, and maintains pipeline performance in CRM. It also involves collaborating on underwriting, financial modeling, marketing, operations, and legal initiatives while traveling regionally to support prospects and clients.
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In-Office
New York, NY, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Manages Central People Operations by overseeing HRIS data accuracy, transactional escalations, workflow automation, operational reporting, SLA performance, and process improvements. Leads and develops People Solutions Coordinators, partners with Payroll, HR, Legal, Risk, and Field Leadership, and manages medium-to-large operational projects. The role requires four days per week in the office.
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In-Office
New York, NY, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Lead the Applied AI organization, architecting AI-first solutions, managing AI Engineers, redesigning processes, and driving transformation across finance and operations.