Jobs at Metropolis Technologies

Own the architecture and technical direction of Metropolis Recognition Platform, including edge-to-cloud pipelines, identity resolution, real-time decisioning, privacy and consent models, observability, and progressive delivery. Lead cross-functional alignment across engineering, computer vision, data, security, platform teams, and partners. Establish RFCs, SLOs, testing standards, operational practices, and architectural best practices while mentoring engineers and managing high-scale distributed systems.

Manages compensation programs for Operations and Growth, including hourly wage structures, location-based pay grids, minimum wage compliance, sales incentive plans, quota and payout audits, pay equity analyses, executive reporting, and Workday compensation data. Partners with HR, Sales, Finance, and RevOps, supports plan governance and education, and provides backup for equity administration.

Drive information security governance by authoring and enforcing policies, owning security awareness training, building interactive policy modules, and establishing AI governance. Conduct risk assessments of tools and internal AI models, review vendor security profiles and software pipelines, report metrics and exceptions to senior management, and partner with Legal, Tech, Audit, Procurement, and People Operations.

Design and develop learner-centered courses and resources, apply instructional design and adult learning principles, create and help produce video/AI-driven content, translate SME content, administer and test digital learning, track engagement metrics, audit content for Workday LMS implementation, and evaluate learning effectiveness.

Drive forecasting cycles, variance analysis, financial modeling, capital allocation, ROI analysis, and business-unit financial advisory. Manage OpEx and headcount planning, prepare board reporting and dashboards, validate financial data, improve workflows, automate reporting, and document procedures. The role requires translating complex financial information into executive-level guidance and supporting profitability decisions across a rapidly growing organization.

Lead go-to-market strategy and execution: develop positioning and messaging, create sales and marketing materials, run customer and executive events, support RevOps for lead follow-up and reporting, manage vendors, and partner cross-functionally to drive commercial growth.

Drive net-new B2B SaaS sales across a regional territory by prospecting, qualifying leads, running demos, and supporting deal execution. Maintain clean Salesforce pipeline, collaborate with cross-functional teams on underwriting and proposals, and hit activity and generation targets while advancing toward a full Account Executive role.

Lead FP&A forecasting cycles, variance analysis, and dynamic financial modeling to support capital allocation, long-range planning, and product/market launches. Advise business units on OpEx and headcount, produce board-ready reports and dashboards, ensure data integrity, automate processes, and document SOPs to shorten reporting cycles.

Design and build core services for Metropolis Web Services, focusing on distributed systems. Collaborate with multiple technical teams and mentor engineers. Architect scalable systems and establish operational standards for high reliability and performance.

As a Senior AI Engineer, you'll design and implement AI-powered automation tools, maintain LLM-based systems, ensure data quality, and enhance business processes through AI solutions.

Design end-to-end product features bridging digital and physical experiences. Lead discovery, wireframing, high-fidelity prototyping, and developer handoff. Conduct user research and usability testing, maintain the design system, collaborate with PMs and engineers, and iterate using analytics and customer feedback.

Design, build, and maintain scalable backend services in Java/Scala integrating hardware and ML. Implement gRPC APIs, use Redis/MySQL/PostgreSQL, deploy microservices on Kubernetes, and build event-driven pipelines with Kafka. Collaborate with hardware, ML, and operations teams to optimize performance, reliability, and scalability.

Build and review deal proformas and underwriting models, quantify Metropolis technology impact, stress test asset performance, automate workflows, and deliver cross-functional analyses to inform pricing, margin, and GTM strategy.

Lead design, build, and management of security infrastructure across AWS and OCI; drive enterprise network security, VPNs, WAF, zero-trust, segmentation, and identity/access controls; develop IaC and automation, run vulnerability management, detection engineering, and incident response; partner with IT and engineering teams.

Design, build, and operate central cloud infrastructure on AWS; improve reliability, scalability, and automation; own CI/CD, observability (Datadog), and tooling; collaborate with engineering teams to deploy and secure services.

Serve as primary relationship manager for airline clients and vendor couriers, overseeing day-to-day operations, SLAs, and escalations. Produce QBRs and performance reports, leverage data and AI to improve logistics and ETA accuracy, partner with Product and Engineering on feature requests, and optimize vendor courier networks to drive operational efficiency and customer satisfaction.

Serve as primary relationship manager for airline clients and vendor couriers in baggage logistics. Oversee day-to-day vendor operations, enforce SLAs, lead QBRs, translate data into insights, handle escalations, and partner with Product and Engineering to implement AI-driven operational improvements.