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

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In-Office
Seattle, WA, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Leads the internal Applied AI product roadmap, translating operational challenges into AI applications, RAG implementations, agentic workflows, and automation systems. Partners with Finance, Operations, and go-to-market leaders to identify opportunities, define requirements and success metrics, collaborate with engineers and vendors, prototype solutions, drive adoption, and measure business impact. The role also oversees agile development, change management, reliability, and continuous improvement of internal AI tools.
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In-Office
Seattle, WA, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Leads data science for growth marketing by building attribution, lifetime value, acquisition cost, retention, and predictive models. Designs A/B tests, geo-experiments, holdout tests, and incrementality studies to optimize marketing budgets and unit economics. Partners with Growth, Product, Finance, analytics, and engineering teams on data pipelines, event tracking, dashboards, and strategic decision-making. Applies causal inference, advanced analytics, and AI tools to drive user acquisition, retention, and profitable growth.
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In-Office
Seattle, WA, USA
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Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Leads engineering operations and strategy across a high-growth organization. Owns shared engineering processes, a $50M–$100M+ budget, vendor forecasting and relationships, strategic decisions, M&A technology due diligence, migrations, and cross-functional alignment. Partners with executives to resolve complex operational challenges, translate business goals into execution plans, and improve technology operations using AI tools and formal methodologies.