VP Product, Ops Tech

Metropolis Technologies, Inc.•Los Angeles, CA

46d•$290,000 - $310,000•Onsite

About The Position

Metropolis is looking for a VP, Product - Ops Tech to design, scale, and operate the product and technical systems that quantify every operation and orchestrate action-from people flows and staffing to cameras, sensors, screens, and robotic endpoints-so venues can lift revenue and customer delight simultaneously. Across Metropolis, billions of dollars in annual revenue run through operationally heavy workflows-ingress/egress, validation, exception resolution, collections, staffing, and on-site service-and we're building an AI-native Ops Platform that converts those flows into software by coordinating humans through a unified identity, policy, and telemetry layer. You will partner closely with Operations/Deployment, Finance, Sales, Engineering, and Data/Analytics to align strategy, execution, and measurement. In the near term, you will materially improve the economics of our scaled, billion-dollar parking business-lowering OPEX per transaction, boosting payment capture, and compressing queue/dwell times-while standing up the platform primitives (events, data contracts, device standards, policy engine) that generalize across venues. Over time, you'll scale this into a general-purpose, cross-venue experience layer powering commerce, safety, and service for hospitality, retail, aviation, and beyond.

Requirements

12+ years building and operating product platforms at the intersection of physical operations and software (parking/mobility, logistics, retail tech, robotics, industrial IoT, or similar)
Scaled edge + cloud systems (vision, sensors, payments, identity) in production environments with high reliability demands
Proven record turning CV/AI insights into operational outcomes-staffing, routing, dynamic pricing, or autonomous actions
Led crossâfunctional teams spanning Product, Ops, Eng, and Data; fluent in field trials and executive reviews
Strong data chops (SQL/experimentation); passion for instrumentation and measurement

Responsibilities

Define the product strategy and roadmap for the ops tech platform, delivering a modular, API-first architecture that works seamlessly across venues and vendors
Turn computer vision insights into actions by guiding associates, contractors, and robotic endpoints (e.g., gates, LPR, AMRs, digital signage) with clear SLAs, playbooks, and automatic fallbacks that ensure smooth orchestration between human and robotic systems
Design and execute closed-loop workflows and automation to lower OPEX per transaction by 20-30%, boost throughput, compress queue and dwell times by 25%+, and increase first-contact resolution-driving measurable operational efficiency and scalability
Increase payment capture and conversion 5-10% by tightening ID→charge flows, refining loss-prevention policies, and optimizing on-site prompts that improve both guest experience and revenue capture
Translate business goals into measurable orchestration policies that balance guest experience, revenue, and cost, and build a policy engine that converts identity, vision, and context into actions (notify, open, charge, route, display, dispatch) to enable intelligent, automated decision-making at the edge
Instrument the field to raise data completeness, latency, and accuracy; harden event schemas; standardize metrics; and ensure every workflow generates auditable telemetry for decisioning-standing up field health, utilization, latency, and incident dashboards for real-time visibility by ops and GMs
Sponsor and ship groundbreaking computer vision and AI-driven use cases-including presence-based entry, exception detection, dynamic staffing, and proactive service-with quantified ROI and strong privacy, safety, and ethics guardrails
Build pricing models, ROI calculators, and ops/installation playbooks, while creating installation and versioning standards for cameras, screens, gateways, and edge compute; partner with Sales and GMs to win lighthouse deals and scale deployment repeatedly
Run an experimentation pipeline (A/B and sequential tests) to prove ROI, accelerate learning cycles, validate hypotheses, and continuously improve orchestration and automation performance across markets
Hire and coach PMs, TPMs, Product Ops, and Platform Engineers focused on orchestration, edge, and data, and institute an operating rhythm that blends product rigor with field reality to ensure alignment between strategy, execution, and on-the-ground performance